diff --git a/doc/python/horizontal-bar-charts.md b/doc/python/horizontal-bar-charts.md index 25aa9d4f7d1..dd915f72d7e 100644 --- a/doc/python/horizontal-bar-charts.md +++ b/doc/python/horizontal-bar-charts.md @@ -5,10 +5,10 @@ jupyter: text_representation: extension: .md format_name: markdown - format_version: '1.1' - jupytext_version: 1.1.1 + format_version: '1.3' + jupytext_version: 1.16.4 kernelspec: - display_name: Python 3 + display_name: Python 3 (ipykernel) language: python name: python3 language_info: @@ -20,7 +20,7 @@ jupyter: name: python nbconvert_exporter: python pygments_lexer: ipython3 - version: 3.6.7 + version: 3.11.10 plotly: description: How to make horizontal bar charts in Python with Plotly. display_as: basic @@ -217,6 +217,113 @@ fig.update_layout(annotations=annotations) fig.show() ``` + + +### Diverging Bar (or Butterfly) Chart with Neutral Column + +The other diverging bar chart example excludes neutral responses. This variation includes them in a separate column. Jonathan Schwabish discusses tradeoffs between these options on page 92-97 of _Better Data Visualizations_. + +```python +import pandas as pd +import plotly.graph_objects as go + + +df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/refs/heads/master/gss_2002_5_pt_likert.csv') +df.rename(columns={'Unnamed: 0':"Category"}, inplace=True) + + +#achieve the diverging effect by putting a negative sign on the "disagree" answers +for v in ["Disagree","Strongly Disagree"]: + df[v]=df[v]*-1 + +fig = go.Figure(layout=go.Layout( + title="Reactions to statements from the 2002 General Social Survey:", + plot_bgcolor="white", + barmode='relative', # Allows bars to diverge from the center + # Put the legend at the bottom center of the figure + legend=dict( + orientation="h", # a horizontal legend matches the horizontal bars + yref="container", + yanchor="bottom", + y=0.02, + xanchor="center", + x=0.5), + # use an unlabeled Y axis, since we're going to list specific questions on the y-axis. + yaxis=dict( + title="" + ), + ) +) + + +# this color palette conveys meaning: blues for agreement, reds and oranges for disagreement, gray for Neither Agree nor Disagree +color_by_category={ + "Strongly Agree":'darkblue', + "Agree":'lightblue', + "Disagree":'orange', + "Strongly Disagree":'red', + "Neither Agree nor Disagree":'gray', +} + + +# We want the legend to be ordered in the same order that the categories appear, left to right -- +# which is different from the order in which we have to add the traces to the figure. +# since we need to create the "somewhat" traces before the "strongly" traces to display +# the segments in the desired order + +legend_rank_by_category={ + "Strongly Disagree":1, + "Disagree":2, + "Agree":3, + "Strongly Agree":4, + "Neither Agree nor Disagree":5 +} + +# Add bars +for col in ["Disagree","Strongly Disagree","Agree","Strongly Agree","Neither Agree nor Disagree"]: + fig.add_trace(go.Bar( + y=df["Category"], + x=df[col], + name=col, + orientation='h', + marker=dict(color=color_by_category[col]), + legendrank=legend_rank_by_category[col], + xaxis=f"x{1+(col=='Neither Agree nor Disagree')}", # in this context, putting "Neither Agree nor Disagree" on a secondary x-axis on a different domain + # yields results equivalent to subplots with far less code + ) +) + +# make calculations to split the plot into two columns with a shared x axis scale +# by setting the domain and range of the x axes appropriately + +# Find the maximum width of the bars to the left and right sides of the origin; remember that the width of +# the plot is the sum of the longest negative bar and the longest positive bar even if they are on separate rows +max_left = min(df[["Disagree","Strongly Disagree"]].sum(axis=1)) +max_right = max(df[["Agree","Strongly Agree"]].sum(axis=1)) + +# we are working in percent, but coded the negative reactions as negative numbers; so we need to take the absolute value +max_width_signed = abs(max_left)+max_right +max_width_neither = max(df["Neither Agree nor Disagree"]) + +fig.update_xaxes( + zeroline=True, #the zero line distinguishes between positive and negative segments + zerolinecolor="black", + #starting here, we set domain and range to create a shared x-axis scale + # multiply by .98 to add space between the two columns + range=[max_left, max_right], + domain=[0, 0.98*(max_width_signed/(max_width_signed+max_width_neither))] +) + +fig.update_layout( + xaxis2=dict( + range=[0, max_width_neither], + domain=[(1-.98*(1-max_width_signed/(max_width_signed+max_width_neither))), 1.0], + ) +) + +fig.show() +``` + ### Bar Chart with Line Plot ```python @@ -260,7 +367,7 @@ fig.append_trace(go.Scatter( ), 1, 2) fig.update_layout( - title='Household savings & net worth for eight OECD countries', + title=dict(text='Household savings & net worth for eight OECD countries'), yaxis=dict( showgrid=False, showline=False, @@ -335,4 +442,4 @@ fig.show() ### Reference -See more examples of bar charts and styling options [here](https://plotly.com/python/bar-charts/).
See https://plotly.com/python/reference/bar/ for more information and chart attribute options! \ No newline at end of file +See more examples of bar charts and styling options [here](https://plotly.com/python/bar-charts/).
See https://plotly.com/python/reference/bar/ for more information and chart attribute options! pFad - Phonifier reborn

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