To get data labels on a Seaborn pointplot, we can take the following steps −
Steps
Set the figure size and adjust the padding between and around the subplots.
Create a dataframe, df, of two-dimensional, size-mutable, potentially heterogeneous tabular data.
Create a pointplot.
Get the axes patches and label; annotate with respective labels.
To display the figure, use show() method.
Example
from matplotlib import pyplot as plt
import pandas as pd
import seaborn as sns
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
df = pd.DataFrame({'a': [1, 3, 1, 2, 3, 1]})
ax = sns.pointplot(df["a"],
order=df["a"].value_counts().index)
for p, label in zip(ax.patches, df["a"].value_counts().index):
ax.annotate(label, (p.get_x() + 0.375, p.get_height() + 0.15))
plt.show()Output
It will produce the following output −
