Display label stacked barh with values from dataframe

Question

How can I display values for my stacked barh chart that come from a dataframe? How can I place the labels above their respective sections on each bar and modify the font so

Answer 1

You can do this similarly as in the referenced question, by annotating the bars. For a stacked bar chart you'll have to tweak the position of the labels a little to get them where you want. You can play around with the horizontalalignment, verticalalignment and adding a bit of a margin as I did (+.5).

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from cycler import cycler

#used gray colormap, you can use your own colors by replacing colormap='gray' with color=colors
colors = ["#252525", "#636363", "#969696", "#cccccc", "#f7f7f7"]
plt.rcParams['axes.prop_cycle'] = cycler(color=colors)

#dummy data
df = pd.DataFrame(np.random.randint(5, 8, (10, 3)), columns=['Group1', 'Group2', 'Group3'])

for col in df.columns.tolist():
    df[col] = df[col].apply(lambda x:x*100 / df[col].sum())

ax = df.T.plot.barh(stacked=True, colormap='gray', edgecolor='black', linewidth=1)

for lbl in ax.patches:
    ax.annotate("{:.0f}%".format(int(lbl.get_width())), (lbl.get_x(), lbl.get_y()+.5), verticalalignment='bottom', horizontalalignment='top', fontsize=8, color='black')

ax.legend(loc='center left', bbox_to_anchor=(1.0, .5))
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['bottom'].set_visible(False)
ax.spines['left'].set_visible(False)

plt.show()