How to plot bar chart with grouped categorical x and uneven number of columns

📊 Plotly Python
1

I want to plot this data in a grouped bar plot. The trouble is that categories don’t have the same number of columns, so using a categorical x axis leaves huge gaps in the plot.

import pandas as pd
import plotly.express as px

df = pd.DataFrame([[4, 5, 8, 6, 7], ["a", "a", "a", "b", "b"]]).T
df.columns = ["value", "group"]

df["category"] = [f"x{i+1}" for i in range(len(df))]

fig = px.bar(df, x="category", y="value", color="group", barmode="group")

fig.show()

Is kinda workaround, but the x axis is not categorical anymore and I want the columns to be clustered within groups. Is there a proper way how to this?

5

Hey @Madrigallo is that related?

I don´t really understand how your graph should look like.

6

Hi, sorry if I was not clear.

I want a graph that looks something like this:

image
image754×952 2.79 KB

  • x-axis is categorical, not numerical
  • categories have different number of columns
  • spacing between categories is done automatically, no need for manual adjustments
  • bars are colored the same within each category

Thank you!