grouped-stacked-bar.md

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jupytext kernelspec language_info plotly notebook_metadata_filter text_representation all extension format_name format_version jupytext_version .md markdown 1.3 1.14.7 display_name language name Python 3 python python3 codemirror_mode file_extension mimetype name nbconvert_exporter pygments_lexer version name version ipython 3 .py text/x-python python python ipython3 3.7.7 description display_as language layout name order page_type permalink thumbnail How to make a grouped and stacked bar chart in Python with Plotly. statistical python base Grouped Stacked Bar Charts 17 u-guide python/grouped-stacked-bar/ thumbnail/grouped-stacked-bar.jpg

This page details the use of a figure factory. For more examples with bar charts, see this page.

Simple Grouped Stacked Bar Chart

import plotly.figure_factory as ff
import plotly.express as px

df = px.data.tips().groupby(["day", "sex", "smoker"])[["total_bill", "tip"]].sum().reset_index()

fig = ff.create_grouped_stacked_bar(
    df,
    x="smoker",
    stack_group="day",
    color="sex",
    y="tip",
)
fig.update_layout(legend_title=None)
fig.show()

Advanced Grouped Stacked Bar Chart

import plotly.figure_factory as ff
import plotly.express as px

df = px.data.tips().groupby(["day", "sex", "smoker"])[["total_bill", "tip"]].sum().reset_index()

fig = ff.create_grouped_stacked_bar(
    df,
    x="smoker",
    stack_group="day",
    color="sex",
    y="tip",
    # Manage the gap between groups
    stack_group_gap=0.2,
    # Manage the gap between bars within groups
    bar_gap=0.05,
    # Manage the category orders
    category_orders={
      "day": ["Thur", "Fri", "Sat", "Sun"],
    },
    # The grouped stacked bar chart respects the template colors
    # Each group will be displayed with nuances of the colorway
    # You can also specify the list of colors with `color_discrete_sequence`
    template="ggplot2",
    # Unified hover label
    hover_unified=True,
)
fig.update_layout(legend_title=None)
fig.show()