Boundsx¶
Download this notebook from GitHub (right-click to download).
In [1]:
import pandas as pd
import numpy as np
import holoviews as hv
from holoviews import streams
hv.extension('bokeh')
In [2]:
n=200
xs = np.linspace(0, 1, n)
ys = np.cumsum(np.random.randn(n))
df = pd.DataFrame({'x': xs, 'y': ys})
curve = hv.Curve(df)
def make_from_boundsx(boundsx):
sub = df.set_index('x').loc[boundsx[0]:boundsx[1]]
return hv.Table(sub.describe().reset_index().values, 'stat', 'value')
dmap = hv.DynamicMap(make_from_boundsx, streams=[streams.BoundsX(source=curve, boundsx=(0,0))])
curve.opts(tools=['xbox_select']) + dmap
Out[2]:
Download this notebook from GitHub (right-click to download).