mirrored_bar.png

mirrored_bar.py

from matplotlib.pyplot import subplots, rc, rcdefaults
from pandas import DataFrame
from numpy.random import default_rng

from calendar import month_name

# Create fake data
months = month_name[1:]

df = DataFrame({
    'Product A': [209, 192, 137, 108, 98, 96, 104, 120, 154, 191, 187, 215],
    'Product B': [184, 161, 123, 96, 88, 84, 97, 109, 124, 163, 156, 175]},
    index=months
)

# Set up aesthetic settings for matplotlib
# Remove the ticks and ticklabels from the xaxis
# Remove ticks from the yaxis
# Remove all spines
rcdefaults()
rc('xtick', bottom=False, labelbottom=False)
rc('ytick', left=False)
rc('axes.spines', bottom=False, left=False, right=False, top=False)

# Create 2 Axes objects with barely any space between them
fig, (ax1, ax2) = subplots(1, 2, sharey='row', gridspec_kw={'wspace': .01})

# Plot 'Product A' as horizontal bars & add labels
# invert the xaxis so the bars are facing to the left
bc = ax1.barh(df.index, df['Product A'], color='tab:blue', label='Product A')
ax1.bar_label(bc, label_type='center')

bc = ax2.barh(df.index, df['Product B'], color='tab:red', label='Product B')
ax2.bar_label(bc, label_type='center')

xmax = max([*ax1.get_xlim(), *ax2.get_xlim()])
ax1.set_xlim(right=xmax)
ax2.set_xlim(right=xmax)
ax1.invert_xaxis()

# Add a legend to the lower center of the figure
# Use fig.legend since the Artists exist on different Axes
fig.legend(loc='lower center', frameon=False, ncols=2)

fig.savefig('mirrored_bar.png', bbox_inches='tight')