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Change x-axis (xlim) on holoviews histogram

In matplotlib, we can change the x-axis limits using the xlim () method. Is there an equivalent method in HoloViews?

I looked through the HV page but couldn't find anything that could do this.

I created the image below with the following code in a Jupyter notebook:

import numpy as np
import holoviews as hv
hv.notebook_extension('bokeh', width=90)

values = np.array([list of floats])

frequencies, edges = np.histogram(values, 10)
hv.Histogram(frequencies, edges)

histogram

How to change the x-axis limit to [0.002, 0.016].

Also, is it possible to get a graph to return its current x-axis limit?

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2 answers


HoloViews usually just use the data boundaries that you give them. So the easiest way to change the bounds of the histogram is to change it in the call to np.histogram itself:

frequencies, edges = np.histogram(values, 10, range=(0.002, 0.016))
hv.Histogram(frequencies, edges)

If you just want to change the viewing extents, you can also set them directly:



hv.Histogram(frequencies, edges, extents=(0.002, None, 0.016, None))

where extents are defined as (xmin, ymin, xmax, ymax)

.

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The easiest way is to add .opts (xlim = (0.002, 0.016)) to your graph, like so:

hv.Histogram((frequencies, edges)).opts(xlim=(0.002, 0.016))

You can do the same for ylim, for example: 



 .opts(xlim=(0.002, 0.016), ylim=(0, 300))

This is all very similar to matplotlib.

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