Installing and Configuring HoloViews ¶
That said, HoloViews is designed to work closely with many other libraries, which can make installation and configuration more complicated. This user guide page describes some of these less-common or not-required options that may be helpful for some users.
Other installation options ¶
conda install matplotlib plotly
HoloViews can also be installed using one of these
pip install holoviews pip install 'holoviews[recommended]' pip install 'holoviews[extras]' pip install 'holoviews[all]'
The first option installs just the bare library and the
libraries, which is all you need on your system to generate and work with HoloViews objects without visualizing them. The other options install additional libraries that are often useful, with the
option being similar to the
install command above.
Between releases, development snapshots are made available on conda and can be installed using:
conda install -c ioam/label/dev holoviews
To get the very latest development version you can clone our git repository and put it on the Python path:
git clone git://github.com/ioam/holoviews.git cd holoviews pip install -e .
Jupyter notebook configuration ¶
In version 5.0 of the Jupyter notebook, limits on data rates were added that unfortunately also prevent image output from showing up in many cases. For now, the most effective fix is to generate a Jupyter config file:
jupyter notebook --generate-config
and then edit the resulting file .jupyter/jupyter_notebook_config.py with code that changes the limit:
c = get_config() c.NotebookApp.iopub_data_rate_limit=100000000
The default HoloViews installation will use the latest defaults and options available, which is appropriate for new users. If you want to work with code written for older HoloViews versions, you can use the top-level
object to control various backwards-compatibility options:
style_17: Enables the styling and defaults as found in HoloViews 1.7.
warn_options_call: Warn when using the to-be-deprecated
__call__syntax for specifying options, instead of the recommended
It is recommended you set
in your holoviews.rc file (see section below).
It is possible to set the configuration using
import holoviews as hv hv.config(style_17=True)
Config(name='Config00003', style_17=True, warn_options_call=False)
However, because in some cases this configuration needs to be declared before the plotting extensions are imported, the recommended way of setting configuration options is:
Improved tab-completion ¶
are designed around convenient tab-completion, with the expectation of upper-case names being listed first. In recent versions of Jupyter/IPython there has been a regression whereby the tab-completion is no longer case-sensitive. This can be fixed with:
import holoviews as hv hv.extension(case_sensitive_completion=True)
The holoviews.rc file ¶
HoloViews supports an rc file that is searched for in the following places:
and the in parent directory of the top-level
file (useful for developers working out of the HoloViews git repo). A different location to find the rc file can be specified via the
This rc file is executed right after HoloViews, imports. For instance you can use an rc file with code like:
import holoviews as hv hv.config(warn_options_call=True) hv.extension.case_sensitive_completion=True
to include the various options discussed on this page.