I've been trying to annotate each sub-amount of a stacked bar chart with its values like the picture shown above (values not accurate, just an example).
df.iloc[1:].T.plot(kind='bar', stacked=True)
plt.show()
The linked post is somewhat similar to my question but I do not understand the code given in that answer nor were there any explanations given.
import pandas as pd
import matplotlib.pyplot as plt
data = {'var': ['TR', 'AC', 'F&B'], '2019 1Q': [6600, 1256, 588], '2019 2Q': [6566, 1309, 586], '2019 3Q': [7383, 1525, 673]}
df = pd.DataFrame(data)
df.set_index('var', inplace=True)
# display(df)
2019 1Q 2019 2Q 2019 3Q
var
TR 6600 6566 7383
AC 1256 1309 1525
F&B 588 586 673
matplotlib v3.4.2
matplotlib.pyplot.bar_label
.bar_label
.pandas v1.2.4
, which is using matplotlib
as the plot engine.ax = df.T.plot.bar(stacked=True, figsize=(6, 5), rot=0)
for c in ax.containers:
ax.bar_label(c, label_type='center')
ax.legend(title='Categories', bbox_to_anchor=(1.05, 1), loc='upper left')
matplotlib v3.4.2
pandas.DataFrame.plot.bar
with stacked=True
. ndarray
is returned with one matplotlib.axes.Axes
per column with subplots=True
.
ax.patches
contains 9 matplotlib.patches.Rectangle
objects, one for each segment of each bar.
height
, width
, x
, and y
locations can be extracted, and used to annotate the rectangles.ax = df.T.plot.bar(stacked=True)
plt.legend(title='Categories', bbox_to_anchor=(1.05, 1), loc='upper left')
for i, rect in enumerate(ax.patches):
# Find where everything is located
height = rect.get_height()
width = rect.get_width()
x = rect.get_x()
y = rect.get_y()
# The height of the bar is the count value and can used as the label
label_text = f'{height:.0f}'
label_x = x + width / 2
label_y = y + height / 2
# don't include label if it's equivalently 0
if height > 0.001:
ax.text(label_x, label_y, label_text, ha='center', va='center', fontsize=8)
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