Stacked histogram

Anyone has a recipe to produce stacked histograms?

If I try the following

df.hvplot.hist(stacked=True, color=colors_hex)

I get:

WARNING:param.main: Stacking for histograms is not yet implemented in holoviews. Use bar plots if stacking is required.

My dataframe is a simple 9 columns by 3k rows and I want to get something like this:

This is the output from seaborn with:

ax = sns.histplot(
    palette= colors_hex,
1 Like

To be honest, I don’t think the functionality is there in HoloViews (yet!). There is this feature request. We can go down into pure Bokeh with Hooks and do something like this:

import hvplot.pandas  # noqa: F401
import numpy as np
import pandas as pd
import panel as pn

def stacked_hist(plot, element):
    offset = 0
    for r in plot.handles["plot"].renderers:
        r.glyph.bottom = "bottom"

        data =
        new_offset = data["top"] + offset
        data["top"] = new_offset
        data["bottom"] = offset * np.ones_like(data["top"])
        offset = new_offset

    plot.handles["plot"].y_range.end = max(offset) * 1.1
    plot.handles["plot"].y_range.reset_end = max(offset) * 1.1

df = pd.DataFrame(
    np.random.normal(1, 4, (1000, 4)) * np.arange(1, 5), columns=list("ABCD")
plot = df.hvplot.hist().opts(hooks=[stacked_hist]) + df.hvplot.hist()


Note as it is a bit late, a mistake could have sneaked in when making the code, but the fundamentals should be there.


Oh waou thank you so much! I will try to use that and let you know if I have issues.

For a bit more context, I am working on a panel app which right now is using seaborn. And I am trying to see how I can convert these so that the figures can be interactive.

1 Like