Data Vis: Plotting discrete variables as stacked bar chartsΒΆ

Currently, a somewhat contrived example of add_stacked_bars.

  • Gender for first class and survival on Titanic
  • Same, but vertical, with counts shown
import pandas as pd
from matplotlib import cm
from matplotlib import pyplot as plt

from upsetplot import UpSet

TITANIC_URL = (
    "https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv"  # noqa
)
df = pd.read_csv(TITANIC_URL)
# Show UpSet on survival and first classs
df = df.set_index(df.Survived == 1).set_index(df.Pclass == 1, append=True)

upset = UpSet(df, intersection_plot_elements=0)  # disable the default bar chart
upset.add_stacked_bars(
    by="Sex", colors=cm.Pastel1, title="Count by gender", elements=10
)
upset.plot()
plt.suptitle("Gender for first class and survival on Titanic")
plt.show()


upset = UpSet(
    df, show_counts=True, orientation="vertical", intersection_plot_elements=0
)
upset.add_stacked_bars(
    by="Sex", colors=cm.Pastel1, title="Count by gender", elements=10
)
upset.plot()
plt.suptitle("Same, but vertical, with counts shown")
plt.show()

Total running time of the script: ( 0 minutes 0.450 seconds)

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