holoviews.mpl Package¶

mpl Package¶

holoviews.plotting.mpl.set_style(key)[source]¶

Select a style by name, e.g. set_style(‘default’). To revert to the previous style use the key ‘unset’ or False.

annotation Module¶

class holoviews.plotting.mpl.annotation.ABLine2D(slope, intercept, *args, **kwargs)[source]¶

Bases: matplotlib.lines.Line2D

Draw a line based on its slope and y-intercept. Additional arguments are passed to the <matplotlib.lines.Line2D> constructor.

add_callback(func)¶

Adds a callback function that will be called whenever one of the Artist’s properties changes.

Returns an id that is useful for removing the callback with remove_callback() later.

property axes¶

The Axes instance the artist resides in, or None.

contains(mouseevent)¶

Test whether the mouse event occurred on the line. The pick radius determines the precision of the location test (usually within five points of the value). Use get_pickradius() or set_pickradius() to view or modify it.

Returns True if any values are within the radius along with {'ind': pointlist}, where pointlist is the set of points within the radius.

TODO: sort returned indices by distance

convert_xunits(x)¶

For artists in an axes, if the xaxis has units support, convert x using xaxis unit type

convert_yunits(y)¶

For artists in an axes, if the yaxis has units support, convert y using yaxis unit type

draw(renderer)¶

draw the Line with renderer unless visibility is False

findobj(match=None, include_self=True)¶

Find artist objects.

Recursively find all Artist instances contained in self.

match can be

• None: return all objects contained in artist.

• function with signature boolean = match(artist) used to filter matches

• class instance: e.g., Line2D. Only return artists of class type.

If include_self is True (default), include self in the list to be checked for a match.

format_cursor_data(data)¶

Return cursor data string formatted.

get_aa(*args, **kwargs)¶

alias for get_antialiased

get_agg_filter()¶

Return filter function to be used for agg filter.

get_alpha()¶

Return the alpha value used for blending - not supported on all backends

get_animated()¶

Return the artist’s animated state

get_c(*args, **kwargs)¶

alias for get_color

get_children()¶

Return a list of the child Artist`s this :class:`Artist contains.

get_clip_box()¶

Return artist clipbox

get_clip_on()¶

Return whether artist uses clipping

get_clip_path()¶

Return artist clip path

get_contains()¶

Return the _contains test used by the artist, or None for default.

get_cursor_data(event)¶

Get the cursor data for a given event.

get_dash_capstyle()¶

Get the cap style for dashed linestyles

get_dash_joinstyle()¶

Get the join style for dashed linestyles

get_data(orig=True)¶

Return the xdata, ydata.

If orig is True, return the original data.

get_figure()¶

Return the .Figure instance the artist belongs to.

get_fillstyle()¶

return the marker fillstyle

get_gid()¶

Returns the group id.

get_in_layout()¶

Return boolean flag, True if artist is included in layout calculations.

E.g. /tutorials/intermediate/constrainedlayout_guide, .Figure.tight_layout(), and fig.savefig(fname, bbox_inches='tight').

get_label()¶

Get the label used for this artist in the legend.

get_ls(*args, **kwargs)¶

alias for get_linestyle

get_lw(*args, **kwargs)¶

alias for get_linewidth

get_markevery()¶

return the markevery setting

get_mec(*args, **kwargs)¶

alias for get_markeredgecolor

get_mew(*args, **kwargs)¶

alias for get_markeredgewidth

get_mfc(*args, **kwargs)¶

alias for get_markerfacecolor

get_mfcalt(*args, **kwargs)¶

alias for get_markerfacecoloralt

get_ms(*args, **kwargs)¶

alias for get_markersize

get_path()¶

Return the Path object associated with this line.

get_picker()¶

Return the picker object used by this artist.

get_pickradius()¶

return the pick radius used for containment tests

get_rasterized()¶

Return whether the artist is to be rasterized.

get_sketch_params()¶

Returns the sketch parameters for the artist.

sketch_params : tuple or None

A 3-tuple with the following elements:

• scale: The amplitude of the wiggle perpendicular to the source line.

• length: The length of the wiggle along the line.

• randomness: The scale factor by which the length is shrunken or expanded.

May return None if no sketch parameters were set.

get_snap()¶

Returns the snap setting which may be:

• True: snap vertices to the nearest pixel center

• False: leave vertices as-is

• None: (auto) If the path contains only rectilinear line segments, round to the nearest pixel center

Only supported by the Agg and MacOSX backends.

get_solid_capstyle()¶

Get the cap style for solid linestyles

get_solid_joinstyle()¶

Get the join style for solid linestyles

get_tightbbox(renderer)¶

Like Artist.get_window_extent, but includes any clipping.

renderer.RendererBase instance

renderer that will be used to draw the figures (i.e. fig.canvas.get_renderer())

bbox.BboxBase

containing the bounding box (in figure pixel co-ordinates).

get_transform()¶

Return the Transform instance used by this artist.

get_transformed_clip_path_and_affine()¶

Return the clip path with the non-affine part of its transformation applied, and the remaining affine part of its transformation.

get_url()¶

Returns the url.

get_visible()¶

Return the artist’s visiblity

get_window_extent(renderer)¶

Get the axes bounding box in display space. Subclasses should override for inclusion in the bounding box “tight” calculation. Default is to return an empty bounding box at 0, 0.

Be careful when using this function, the results will not update if the artist window extent of the artist changes. The extent can change due to any changes in the transform stack, such as changing the axes limits, the figure size, or the canvas used (as is done when saving a figure). This can lead to unexpected behavior where interactive figures will look fine on the screen, but will save incorrectly.

get_xdata(orig=True)¶

Return the xdata.

If orig is True, return the original data, else the processed data.

get_xydata()¶

Return the xy data as a Nx2 numpy array.

get_ydata(orig=True)¶

Return the ydata.

If orig is True, return the original data, else the processed data.

get_zorder()¶

Return the artist’s zorder.

have_units()¶

Return True if units are set on the x or y axes

hitlist(event)¶

Deprecated since version 2.2: The hitlist function was deprecated in Matplotlib 2.2 and will be removed in 3.1.

List the children of the artist which contain the mouse event event.

is_dashed()¶

return True if line is dashstyle

is_figure_set()¶

Deprecated since version 2.2: artist.figure is not None

Returns whether the artist is assigned to a .Figure.

is_transform_set()¶

Returns True if Artist has a transform explicitly set.

pchanged()¶

Fire an event when property changed, calling all of the registered callbacks.

pick(mouseevent)¶

Process pick event

each child artist will fire a pick event if mouseevent is over the artist and the artist has picker set

pickable()¶

Return True if Artist is pickable.

properties()¶

return a dictionary mapping property name -> value for all Artist props

remove()¶

Remove the artist from the figure if possible. The effect will not be visible until the figure is redrawn, e.g., with matplotlib.axes.Axes.draw_idle(). Call matplotlib.axes.Axes.relim() to update the axes limits if desired.

Note: relim() will not see collections even if the collection was added to axes with autolim = True.

Note: there is no support for removing the artist’s legend entry.

remove_callback(oid)¶

Remove a callback based on its id.

See also

add_callback()

For adding callbacks

set(**kwargs)¶

A property batch setter. Pass kwargs to set properties.

set_aa(*args, **kwargs)¶

alias for set_antialiased

set_agg_filter(filter_func)¶

Set the agg filter.

filter_funccallable

A filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array.

set_alpha(alpha)¶

Set the alpha value used for blending - not supported on all backends.

alpha : float

set_animated(b)¶

Set the artist’s animation state.

b : bool

set_antialiased(b)¶

Set whether to use antialiased rendering.

b : bool

set_c(*args, **kwargs)¶

alias for set_color

set_clip_box(clipbox)¶

Set the artist’s clip .Bbox.

clipbox : .Bbox

set_clip_on(b)¶

Set whether artist uses clipping.

When False artists will be visible out side of the axes which can lead to unexpected results.

b : bool

set_clip_path(path, transform=None)¶

Set the artist’s clip path, which may be:

• a Patch (or subclass) instance; or

• a Path instance, in which case a Transform instance, which will be applied to the path before using it for clipping, must be provided; or

• None, to remove a previously set clipping path.

For efficiency, if the path happens to be an axis-aligned rectangle, this method will set the clipping box to the corresponding rectangle and set the clipping path to None.

ACCEPTS: [(~matplotlib.path.Path, .Transform) | .Patch | None]

set_color(color)¶

Set the color of the line

color : color

set_contains(picker)¶

Replace the contains test used by this artist. The new picker should be a callable function which determines whether the artist is hit by the mouse event:

hit, props = picker(artist, mouseevent)

If the mouse event is over the artist, return hit = True and props is a dictionary of properties you want returned with the contains test.

picker : callable

set_dash_capstyle(s)¶

Set the cap style for dashed linestyles.

s : {‘butt’, ‘round’, ‘projecting’}

set_dash_joinstyle(s)¶

Set the join style for dashed linestyles.

s : {‘miter’, ‘round’, ‘bevel’}

set_dashes(seq)¶

Set the dash sequence, sequence of dashes with on off ink in points. If seq is empty or if seq = (None, None), the linestyle will be set to solid.

seq : sequence of floats (on/off ink in points) or (None, None)

set_data(*args)¶

Set the x and y data

ACCEPTS: 2D array (rows are x, y) or two 1D arrays

set_drawstyle(drawstyle)¶

Set the drawstyle of the plot

‘default’ connects the points with lines. The steps variants produce step-plots. ‘steps’ is equivalent to ‘steps-pre’ and is maintained for backward-compatibility.

drawstyle : {‘default’, ‘steps’, ‘steps-pre’, ‘steps-mid’, ‘steps-post’}

set_figure(fig)¶

Set the .Figure instance the artist belongs to.

fig : .Figure

set_fillstyle(fs)¶

Set the marker fill style; ‘full’ means fill the whole marker. ‘none’ means no filling; other options are for half-filled markers.

fs : {‘full’, ‘left’, ‘right’, ‘bottom’, ‘top’, ‘none’}

set_gid(gid)¶

Sets the (group) id for the artist.

gid : str

set_in_layout(in_layout)¶

Set if artist is to be included in layout calculations, E.g. /tutorials/intermediate/constrainedlayout_guide, .Figure.tight_layout(), and fig.savefig(fname, bbox_inches='tight').

in_layout : bool

set_label(s)¶

Set the label to s for auto legend.

sobject

s will be converted to a string by calling str.

set_linestyle(ls)¶

Set the linestyle of the line (also accepts drawstyles, e.g., 'steps--')

linestyle	description
'-' or 'solid'	solid line
'--' or 'dashed'	dashed line
'-.' or 'dashdot'	dash-dotted line
':' or 'dotted'	dotted line
'None'	draw nothing
' '	draw nothing
''	draw nothing

‘steps’ is equivalent to ‘steps-pre’ and is maintained for backward-compatibility.

Alternatively a dash tuple of the following form can be provided:

(offset, onoffseq),

where onoffseq is an even length tuple of on and off ink in points.

See also

set_drawstyle()

To set the drawing style (stepping) of the plot.

ls{‘-‘, ‘–’, ‘-.’, ‘:’, ‘’, (offset, on-off-seq), …}

The line style.

set_linewidth(w)¶

Set the line width in points

w : float

set_ls(*args, **kwargs)¶

alias for set_linestyle

set_lw(*args, **kwargs)¶

alias for set_linewidth

set_marker(marker)¶

Set the line marker.

marker: marker style

See ~matplotlib.markers for full description of possible arguments.

set_markeredgecolor(ec)¶

Set the marker edge color.

ec : color

set_markeredgewidth(ew)¶

Set the marker edge width in points.

ew : float

set_markerfacecolor(fc)¶

Set the marker face color.

fc : color

set_markerfacecoloralt(fc)¶

Set the alternate marker face color.

fc : color

set_markersize(sz)¶

Set the marker size in points.

sz : float

set_markevery(every)¶

Set the markevery property to subsample the plot when using markers.

e.g., if every=5, every 5-th marker will be plotted.

every: None or int or (int, int) or slice or List[int] or float or (float, float)

Which markers to plot.

• every=None, every point will be plotted.

• every=N, every N-th marker will be plotted starting with marker 0.

• every=(start, N), every N-th marker, starting at point start, will be plotted.

• every=slice(start, end, N), every N-th marker, starting at point start, up to but not including point end, will be plotted.

• every=[i, j, m, n], only markers at points i, j, m, and n will be plotted.

• every=0.1, (i.e. a float) then markers will be spaced at approximately equal distances along the line; the distance along the line between markers is determined by multiplying the display-coordinate distance of the axes bounding-box diagonal by the value of every.

• every=(0.5, 0.1) (i.e. a length-2 tuple of float), the same functionality as every=0.1 is exhibited but the first marker will be 0.5 multiplied by the display-cordinate-diagonal-distance along the line.

Setting the markevery property will only show markers at actual data points. When using float arguments to set the markevery property on irregularly spaced data, the markers will likely not appear evenly spaced because the actual data points do not coincide with the theoretical spacing between markers.

When using a start offset to specify the first marker, the offset will be from the first data point which may be different from the first the visible data point if the plot is zoomed in.

If zooming in on a plot when using float arguments then the actual data points that have markers will change because the distance between markers is always determined from the display-coordinates axes-bounding-box-diagonal regardless of the actual axes data limits.

set_mec(*args, **kwargs)¶

alias for set_markeredgecolor

set_mew(*args, **kwargs)¶

alias for set_markeredgewidth

set_mfc(*args, **kwargs)¶

alias for set_markerfacecolor

set_mfcalt(*args, **kwargs)¶

alias for set_markerfacecoloralt

set_ms(*args, **kwargs)¶

alias for set_markersize

set_path_effects(path_effects)¶

Set the path effects.

path_effects : .AbstractPathEffect

set_picker(p)¶

Sets the event picker details for the line.

pfloat or callable[[Artist, Event], Tuple[bool, dict]]

If a float, it is used as the pick radius in points.

set_pickradius(d)¶

Set the pick radius used for containment tests.

dfloat

Pick radius, in points.

set_rasterized(rasterized)¶

Force rasterized (bitmap) drawing in vector backend output.

Defaults to None, which implies the backend’s default behavior.

rasterized : bool or None

set_sketch_params(scale=None, length=None, randomness=None)¶

Sets the sketch parameters.

scalefloat, optional

The amplitude of the wiggle perpendicular to the source line, in pixels. If scale is None, or not provided, no sketch filter will be provided.

lengthfloat, optional

The length of the wiggle along the line, in pixels (default 128.0)

randomnessfloat, optional

The scale factor by which the length is shrunken or expanded (default 16.0)

set_snap(snap)¶

Sets the snap setting which may be:

• True: snap vertices to the nearest pixel center

• False: leave vertices as-is

• None: (auto) If the path contains only rectilinear line segments, round to the nearest pixel center

Only supported by the Agg and MacOSX backends.

snap : bool or None

set_solid_capstyle(s)¶

Set the cap style for solid linestyles.

s : {‘butt’, ‘round’, ‘projecting’}

set_solid_joinstyle(s)¶

Set the join style for solid linestyles.

s : {‘miter’, ‘round’, ‘bevel’}

set_transform(t)¶

set the Transformation instance used by this artist

t : matplotlib.transforms.Transform

set_url(url)¶

Sets the url for the artist.

url : str

set_visible(b)¶

Set the artist’s visibility.

b : bool

set_xdata(x)¶

Set the data array for x.

x : 1D array

set_ydata(y)¶

Set the data array for y.

y : 1D array

set_zorder(level)¶

Set the zorder for the artist. Artists with lower zorder values are drawn first.

level : float

property stale¶

If the artist is ‘stale’ and needs to be re-drawn for the output to match the internal state of the artist.

property sticky_edges¶

x and y sticky edge lists for autoscaling.

When performing autoscaling, if a data limit coincides with a value in the corresponding sticky_edges list, then no margin will be added–the view limit “sticks” to the edge. A typical usecase is histograms, where one usually expects no margin on the bottom edge (0) of the histogram.

This attribute cannot be assigned to; however, the x and y lists can be modified in place as needed.

>>> artist.sticky_edges.x[:] = (xmin, xmax)
>>> artist.sticky_edges.y[:] = (ymin, ymax)

update(props)¶

Update this artist’s properties from the dictionary prop.

update_from(other)¶

copy properties from other to self

class holoviews.plotting.mpl.annotation.AnnotationPlot(annotation, **params)[source]¶

Bases: holoviews.plotting.mpl.element.ElementPlot

AnnotationPlot handles the display of all annotation elements.

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, padding, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

show_legend = param.Boolean(bounds=(0, 1), default=False)

Whether to show legend for the plot.

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, annotation, ranges, style)[source]¶

Update the elements of the plot.

class holoviews.plotting.mpl.annotation.ArrowPlot(annotation, **params)[source]¶

Bases: holoviews.plotting.mpl.annotation.AnnotationPlot

Draw an arrow using the information supplied to the Arrow annotation

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, padding, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.annotation.AnnotationPlot: show_legend

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, annotation, ranges, style)¶

Update the elements of the plot.

class holoviews.plotting.mpl.annotation.HLinePlot(annotation, **params)[source]¶

Bases: holoviews.plotting.mpl.annotation.AnnotationPlot

Draw a horizontal line on the axis

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, padding, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.annotation.AnnotationPlot: show_legend

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

draw_annotation(axis, position, opts)[source]¶

Draw a horizontal line on the axis

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, annotation, ranges, style)¶

Update the elements of the plot.

class holoviews.plotting.mpl.annotation.HSpanPlot(annotation, **params)[source]¶

Bases: holoviews.plotting.mpl.annotation.AnnotationPlot

Draw a horizontal span on the axis

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, padding, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.annotation.AnnotationPlot: show_legend

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

draw_annotation(axis, positions, opts)[source]¶

Draw a horizontal span on the axis

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, annotation, ranges, style)¶

Update the elements of the plot.

class holoviews.plotting.mpl.annotation.LabelsPlot(*args, **kwargs)[source]¶

Bases: holoviews.plotting.mpl.element.ColorbarPlot

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, padding, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.element.ColorbarPlot: clabel, clim, cformatter, colorbar, colorbar_opts, color_levels, clipping_colors, cbar_padding, cbar_ticks, cbar_width, cbar_extend, symmetric

color_index = param.ClassSelector(class_=(<class ‘str’>, <class ‘int’>))

Index of the dimension from which the color will the drawn

xoffset = param.Number(inclusive_bounds=(True, True))

Amount of offset to apply to labels along x-axis.

yoffset = param.Number(inclusive_bounds=(True, True))

Amount of offset to apply to labels along x-axis.

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)[source]¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()[source]¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, element, ranges, style)¶

Update the elements of the plot.

class holoviews.plotting.mpl.annotation.SlopePlot(annotation, **params)[source]¶

Bases: holoviews.plotting.mpl.annotation.AnnotationPlot

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, padding, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.annotation.AnnotationPlot: show_legend

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

draw_annotation(axis, position, opts)[source]¶

Draw a horizontal line on the axis

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, annotation, ranges, style)¶

Update the elements of the plot.

class holoviews.plotting.mpl.annotation.SplinePlot(annotation, **params)[source]¶

Bases: holoviews.plotting.mpl.annotation.AnnotationPlot

Draw the supplied Spline annotation (see Spline docstring)

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, padding, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.annotation.AnnotationPlot: show_legend

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, annotation, ranges, style)¶

Update the elements of the plot.

class holoviews.plotting.mpl.annotation.TextPlot(annotation, **params)[source]¶

Bases: holoviews.plotting.mpl.annotation.AnnotationPlot

Draw the Text annotation object

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, padding, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.annotation.AnnotationPlot: show_legend

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, annotation, ranges, style)¶

Update the elements of the plot.

class holoviews.plotting.mpl.annotation.VLinePlot(annotation, **params)[source]¶

Bases: holoviews.plotting.mpl.annotation.AnnotationPlot

Draw a vertical line on the axis

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, padding, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.annotation.AnnotationPlot: show_legend

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, annotation, ranges, style)¶

Update the elements of the plot.

class holoviews.plotting.mpl.annotation.VSpanPlot(annotation, **params)[source]¶

Bases: holoviews.plotting.mpl.annotation.AnnotationPlot

Draw a vertical span on the axis

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, padding, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.annotation.AnnotationPlot: show_legend

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

draw_annotation(axis, positions, opts)[source]¶

Draw a vertical span on the axis

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, annotation, ranges, style)¶

Update the elements of the plot.

chart Module¶

class holoviews.plotting.mpl.chart.AreaPlot(element, **params)[source]¶

Bases: holoviews.plotting.mixins.AreaMixin, holoviews.plotting.mpl.chart.ChartPlot

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

padding = param.ClassSelector(class_=(<class ‘int’>, <class ‘float’>, <class ‘tuple’>), default=(0, 0.1))

Fraction by which to increase auto-ranged extents to make datapoints more visible around borders. To compute padding, the axis whose screen size is largest is chosen, and the range of that axis is increased by the specified fraction along each axis. Other axes are then padded ensuring that the amount of screen space devoted to padding is equal for all axes. If specified as a tuple, the int or float values in the tuple will be used for padding in each axis, in order (x,y or x,y,z). For example, for padding=0.2 on a 800x800-pixel plot, an x-axis with the range [0,10] will be padded by 20% to be [-1,11], while a y-axis with a range [0,1000] will be padded to be [-100,1100], which should make the padding be approximately the same number of pixels. But if the same plot is changed to have a height of only 200, the y-range will then be [-400,1400] so that the y-axis padding will still match that of the x-axis. It is also possible to declare non-equal padding value for the lower and upper bound of an axis by supplying nested tuples, e.g. padding=(0.1, (0, 0.1)) will pad the x-axis lower and upper bound as well as the y-axis upper bound by a fraction of 0.1 while the y-axis lower bound is not padded at all.

show_legend = param.Boolean(bounds=(0, 1), default=False)

Whether to show legend for the plot.

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_data, plot_kwargs)[source]¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, element, ranges, style)¶

Update the elements of the plot.

class holoviews.plotting.mpl.chart.BarPlot(*args, **kwargs)[source]¶

Bases: holoviews.plotting.mixins.BarsMixin, holoviews.plotting.mpl.element.ColorbarPlot, holoviews.plotting.mpl.element.LegendPlot

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, padding, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.element.LegendPlot: legend_cols, legend_position, legend_opts

holoviews.plotting.mpl.element.ColorbarPlot: clabel, clim, cformatter, colorbar, colorbar_opts, color_levels, clipping_colors, cbar_padding, cbar_ticks, cbar_width, cbar_extend, symmetric

show_legend = param.Boolean(bounds=(0, 1), default=True)

Whether to show legend for the plot.

bar_padding = param.Number(default=0.2, inclusive_bounds=(True, True))

Defines the padding between groups.

multi_level = param.Boolean(bounds=(0, 1), default=True)

Whether the Bars should be grouped into a second categorical axis level.

stacked = param.Boolean(bounds=(0, 1), default=False)

Whether the bars should be stacked or grouped.

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined')¶

Make adjustments to plot extents by computing stacked bar heights, adjusting the bar baseline and forcing the x-axis to be categorical.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, element, ranges, style)¶

Update the elements of the plot.

class holoviews.plotting.mpl.chart.ChartPlot(element, **params)[source]¶

Bases: holoviews.plotting.mpl.element.ElementPlot

Baseclass to plot Chart elements.

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, padding, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, element, ranges, style)¶

Update the elements of the plot.

class holoviews.plotting.mpl.chart.CurvePlot(element, **params)[source]¶

Bases: holoviews.plotting.mpl.chart.ChartPlot

CurvePlot can plot Curve and ViewMaps of Curve, which can be displayed as a single frame or animation. Axes, titles and legends are automatically generated from dim_info.

If the dimension is set to cyclic in the dim_info it will rotate the curve so that minimum y values are at the minimum x value to make the plots easier to interpret.

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

padding = param.ClassSelector(class_=(<class ‘int’>, <class ‘float’>, <class ‘tuple’>), default=(0, 0.1))

Fraction by which to increase auto-ranged extents to make datapoints more visible around borders. To compute padding, the axis whose screen size is largest is chosen, and the range of that axis is increased by the specified fraction along each axis. Other axes are then padded ensuring that the amount of screen space devoted to padding is equal for all axes. If specified as a tuple, the int or float values in the tuple will be used for padding in each axis, in order (x,y or x,y,z). For example, for padding=0.2 on a 800x800-pixel plot, an x-axis with the range [0,10] will be padded by 20% to be [-1,11], while a y-axis with a range [0,1000] will be padded to be [-100,1100], which should make the padding be approximately the same number of pixels. But if the same plot is changed to have a height of only 200, the y-range will then be [-400,1400] so that the y-axis padding will still match that of the x-axis. It is also possible to declare non-equal padding value for the lower and upper bound of an axis by supplying nested tuples, e.g. padding=(0.1, (0, 0.1)) will pad the x-axis lower and upper bound as well as the y-axis upper bound by a fraction of 0.1 while the y-axis lower bound is not padded at all.

show_legend = param.Boolean(bounds=(0, 1), default=True)

Whether to show legend for the plot.

show_grid = param.Boolean(bounds=(0, 1), default=False)

Enable axis grid.

autotick = param.Boolean(bounds=(0, 1), default=False)

Whether to let matplotlib automatically compute tick marks or to allow the user to control tick marks.

interpolation = param.ObjectSelector(default=’linear’, objects=[‘linear’, ‘steps-mid’, ‘steps-pre’, ‘steps-post’])

Defines how the samples of the Curve are interpolated, default is ‘linear’, other options include ‘steps-mid’, ‘steps-pre’ and ‘steps-post’.

relative_labels = param.Boolean(bounds=(0, 1), default=False)

If plotted quantity is cyclic and center_cyclic is enabled, will compute tick labels relative to the center.

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)[source]¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, element, ranges, style)[source]¶

Update the elements of the plot.

class holoviews.plotting.mpl.chart.ErrorPlot(*args, **kwargs)[source]¶

Bases: holoviews.plotting.mpl.element.ColorbarPlot

ErrorPlot plots the ErrorBar Element type and supporting both horizontal and vertical error bars via the ‘horizontal’ plot option.

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, padding, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.element.ColorbarPlot: clabel, clim, cformatter, colorbar, colorbar_opts, color_levels, clipping_colors, cbar_padding, cbar_ticks, cbar_width, cbar_extend, symmetric

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_data, plot_kwargs)[source]¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, element, ranges, style)[source]¶

Update the elements of the plot.

class holoviews.plotting.mpl.chart.HistogramPlot(histograms, **params)[source]¶

Bases: holoviews.plotting.mpl.element.ColorbarPlot

HistogramPlot can plot DataHistograms and ViewMaps of DataHistograms, which can be displayed as a single frame or animation.

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, padding, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.element.ColorbarPlot: clabel, clim, cformatter, colorbar, colorbar_opts, color_levels, clipping_colors, cbar_padding, cbar_ticks, cbar_width, cbar_extend, symmetric

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined')[source]¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, element, ranges, style)[source]¶

Update the elements of the plot.

class holoviews.plotting.mpl.chart.PointPlot(*args, **kwargs)[source]¶

Bases: holoviews.plotting.mpl.chart.ChartPlot, holoviews.plotting.mpl.element.ColorbarPlot

Note that the ‘cmap’, ‘vmin’ and ‘vmax’ style arguments control how point magnitudes are rendered to different colors.

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, padding, show_legend, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.element.ColorbarPlot: clabel, clim, cformatter, colorbar, colorbar_opts, color_levels, clipping_colors, cbar_padding, cbar_ticks, cbar_width, cbar_extend, symmetric

show_grid = param.Boolean(bounds=(0, 1), default=False)

Whether to draw grid lines at the tick positions.

color_index = param.ClassSelector(class_=(<class ‘str’>, <class ‘int’>))

Deprecated in favor of color style mapping, e.g. color=dim(‘color’)

size_index = param.ClassSelector(class_=(<class ‘str’>, <class ‘int’>))

Deprecated in favor of size style mapping, e.g. size=dim(‘size’)

scaling_method = param.ObjectSelector(default=’area’, objects=[‘width’, ‘area’])

Deprecated in favor of size style mapping, e.g. size=dim(‘size’)**2.

scaling_factor = param.Number(bounds=(0, None), default=1, inclusive_bounds=(True, True))

Scaling factor which is applied to either the width or area of each point, depending on the value of scaling_method.

size_fn = param.Callable(default=<ufunc ‘absolute’>)

Function applied to size values before applying scaling, to remove values lower than zero.

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

size_fn = <ufunc 'absolute'>¶

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, element, ranges, style)[source]¶

Update the elements of the plot.

class holoviews.plotting.mpl.chart.SideAreaPlot(element, **params)[source]¶

Bases: holoviews.plotting.mpl.plot.AdjoinedPlot, holoviews.plotting.mpl.chart.AreaPlot

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, show_grid, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.chart.AreaPlot: padding, show_legend

holoviews.plotting.mpl.plot.AdjoinedPlot: show_title, aspect, subplot_size, show_xlabel

bgcolor = param.Parameter(default=(1, 1, 1, 0))

Make plot background invisible.

xaxis = param.ObjectSelector(default=’bare’, objects=[‘top’, ‘bottom’, ‘bare’, ‘top-bare’, ‘bottom-bare’, None])

Whether and where to display the xaxis, bare options allow suppressing all axis labels including ticks and xlabel. Valid options are ‘top’, ‘bottom’, ‘bare’, ‘top-bare’ and ‘bottom-bare’.

yaxis = param.ObjectSelector(default=’bare’, objects=[‘left’, ‘right’, ‘bare’, ‘left-bare’, ‘right-bare’, None])

Whether and where to display the yaxis, bare options allow suppressing all axis labels including ticks and ylabel. Valid options are ‘left’, ‘right’, ‘bare’ ‘left-bare’ and ‘right-bare’.

border_size = param.Number(default=0, inclusive_bounds=(True, True))

The size of the border expressed as a fraction of the main plot.

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_data, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, element, ranges, style)¶

Update the elements of the plot.

class holoviews.plotting.mpl.chart.SideHistogramPlot(histograms, **params)[source]¶

Bases: holoviews.plotting.mpl.plot.AdjoinedPlot, holoviews.plotting.mpl.chart.HistogramPlot

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, padding, show_legend, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.element.ColorbarPlot: clabel, clim, cformatter, colorbar, colorbar_opts, color_levels, clipping_colors, cbar_padding, cbar_ticks, cbar_width, cbar_extend, symmetric

holoviews.plotting.mpl.plot.AdjoinedPlot: show_title, aspect, border_size, subplot_size, show_xlabel

bgcolor = param.Parameter(default=(1, 1, 1, 0))

Make plot background invisible.

show_grid = param.Boolean(bounds=(0, 1), default=False)

Whether to overlay a grid on the axis.

offset = param.Number(bounds=(0, 1), default=0.2, inclusive_bounds=(True, True))

Histogram value offset for a colorbar.

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined')¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, element, ranges, style)¶

Update the elements of the plot.

class holoviews.plotting.mpl.chart.SideSpikesPlot(*args, **kwargs)[source]¶

Bases: holoviews.plotting.mpl.plot.AdjoinedPlot, holoviews.plotting.mpl.chart.SpikesPlot

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, show_grid, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.element.ColorbarPlot: clabel, clim, cformatter, colorbar, colorbar_opts, color_levels, clipping_colors, cbar_padding, cbar_ticks, cbar_width, cbar_extend, symmetric

holoviews.plotting.mpl.path.PathPlot: show_legend

holoviews.plotting.mpl.chart.SpikesPlot: padding, color_index, position

holoviews.plotting.mpl.plot.AdjoinedPlot: show_title, aspect, show_xlabel

show_frame = param.Boolean(bounds=(0, 1), default=True)

Whether or not to show a complete frame around the plot.

bgcolor = param.Parameter(default=(1, 1, 1, 0))

Make plot background invisible.

xaxis = param.ObjectSelector(default=’bare’, objects=[‘top’, ‘bottom’, ‘bare’, ‘top-bare’, ‘bottom-bare’, None])

Whether and where to display the xaxis, bare options allow suppressing all axis labels including ticks and xlabel. Valid options are ‘top’, ‘bottom’, ‘bare’, ‘top-bare’ and ‘bottom-bare’.

yaxis = param.ObjectSelector(default=’bare’, objects=[‘left’, ‘right’, ‘bare’, ‘left-bare’, ‘right-bare’, None])

Whether and where to display the yaxis, bare options allow suppressing all axis labels including ticks and ylabel. Valid options are ‘left’, ‘right’, ‘bare’ ‘left-bare’ and ‘right-bare’.

spike_length = param.Number(default=1, inclusive_bounds=(True, True))

The length of each spike if Spikes object is one dimensional.

border_size = param.Number(default=0, inclusive_bounds=(True, True))

The size of the border expressed as a fraction of the main plot.

subplot_size = param.Number(default=0.1, inclusive_bounds=(True, True))

The size subplots as expressed as a fraction of the main plot.

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, element, ranges, style)¶

Update the elements of the plot.

class holoviews.plotting.mpl.chart.SpikesPlot(*args, **kwargs)[source]¶

Bases: holoviews.plotting.mixins.SpikesMixin, holoviews.plotting.mpl.path.PathPlot, holoviews.plotting.mpl.element.ColorbarPlot

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.element.ColorbarPlot: clabel, clim, cformatter, colorbar, colorbar_opts, color_levels, clipping_colors, cbar_padding, cbar_ticks, cbar_width, cbar_extend, symmetric

holoviews.plotting.mpl.path.PathPlot: show_legend

padding = param.ClassSelector(class_=(<class ‘int’>, <class ‘float’>, <class ‘tuple’>), default=(0, 0.1))

Fraction by which to increase auto-ranged extents to make datapoints more visible around borders. To compute padding, the axis whose screen size is largest is chosen, and the range of that axis is increased by the specified fraction along each axis. Other axes are then padded ensuring that the amount of screen space devoted to padding is equal for all axes. If specified as a tuple, the int or float values in the tuple will be used for padding in each axis, in order (x,y or x,y,z). For example, for padding=0.2 on a 800x800-pixel plot, an x-axis with the range [0,10] will be padded by 20% to be [-1,11], while a y-axis with a range [0,1000] will be padded to be [-100,1100], which should make the padding be approximately the same number of pixels. But if the same plot is changed to have a height of only 200, the y-range will then be [-400,1400] so that the y-axis padding will still match that of the x-axis. It is also possible to declare non-equal padding value for the lower and upper bound of an axis by supplying nested tuples, e.g. padding=(0.1, (0, 0.1)) will pad the x-axis lower and upper bound as well as the y-axis upper bound by a fraction of 0.1 while the y-axis lower bound is not padded at all.

aspect = param.Parameter(default=’square’)

The aspect ratio mode of the plot. Allows setting an explicit aspect ratio as width/height as well as ‘square’ and ‘equal’ options.

color_index = param.ClassSelector(class_=(<class ‘str’>, <class ‘int’>))

Index of the dimension from which the color will the drawn

spike_length = param.Number(default=0.1, inclusive_bounds=(True, True))

The length of each spike if Spikes object is one dimensional.

position = param.Number(default=0.0, inclusive_bounds=(True, True))

The position of the lower end of each spike.

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_args, plot_kwargs)[source]¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, element, ranges, style)[source]¶

Update the elements of the plot.

class holoviews.plotting.mpl.chart.SpreadPlot(element, **params)[source]¶

Bases: holoviews.plotting.mpl.chart.AreaPlot

SpreadPlot plots the Spread Element type.

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, title_format, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_position, sublabel_size, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, finalize_hooks, logx, logy, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

padding = param.ClassSelector(class_=(<class ‘int’>, <class ‘float’>, <class ‘tuple’>), default=(0, 0.1))

Fraction by which to increase auto-ranged extents to make datapoints more visible around borders. To compute padding, the axis whose screen size is largest is chosen, and the range of that axis is increased by the specified fraction along each axis. Other axes are then padded ensuring that the amount of screen space devoted to padding is equal for all axes. If specified as a tuple, the int or float values in the tuple will be used for padding in each axis, in order (x,y or x,y,z). For example, for padding=0.2 on a 800x800-pixel plot, an x-axis with the range [0,10] will be padded by 20% to be [-1,11], while a y-axis with a range [0,1000] will be padded to be [-100,1100], which should make the padding be approximately the same number of pixels. But if the same plot is changed to have a height of only 200, the y-range will then be [-400,1400] so that the y-axis padding will still match that of the x-axis. It is also possible to declare non-equal padding value for the lower and upper bound of an axis by supplying nested tuples, e.g. padding=(0.1, (0, 0.1)) will pad the x-axis lower and upper bound as well as the y-axis upper bound by a fraction of 0.1 while the y-axis lower bound is not padded at all.

show_legend = param.Boolean(bounds=(0, 1), default=False)

Whether to show legend for the plot.

anim(start=0, stop=None, fps=30)¶

Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps.

cleanup()¶

Cleans up references to the plot on the attached Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_extents(element, ranges, range_type='combined')[source]¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

init_artists(ax, plot_data, plot_kwargs)¶

Initializes the artist based on the plot method declared on the plot.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

teardown_handles()¶

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_handles(key, axis, element, ranges, style)¶

Update the elements of the plot.