Boxplot is an amazing way to study distributions. However, it can be useful to display the number of observation for each group since this info is hidden under boxes.
# library & dataset
import seaborn as sns, numpy as np
df = sns.load_dataset("iris")
ax = sns.boxplot(x="species", y="sepal_length", data=df)
# Calculate number of obs per group & median to position labels
medians = df.groupby(['species'])['sepal_length'].median().values
nobs = df['species'].value_counts().values
nobs = [str(x) for x in nobs.tolist()]
nobs = ["n: " + i for i in nobs]
# Add it to the plot
pos = range(len(nobs))
for tick,label in zip(pos,ax.get_xticklabels()):
ax.text(pos[tick], medians[tick] + 0.03, nobs[tick],
horizontalalignment='center', size='x-small', color='w', weight='semibold')
sns.plt.show()
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You should use the function df.groupby([‘species’]).size().values instead of df[‘species’].value_counts().values function.
Thanks. Works well!
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