How do I add a percentage to a countplot?

I need to show a percentage for my bar graph. However I am not sure how to do it.

sns.set_style('whitegrid')
sns.countplot(y='type',data=df,palette='colorblind')
plt.xlabel('Count')
plt.ylabel('Type')
plt.title('Movie Type in Disney+')
plt.show()

• From matplotlib v.3.4.0, the correct way to annotate bars is with the .bar_label method, as thoroughly described in How to add value labels on a bar chart
• seaborn.countplot returns ax : matplotlib.Axes, so it's customary to us ax as the alias for this axes-level method.
  • Axes is the explicit interface.
• This uses data from your other question.
• Tested in python 3.12, pandas 2.2.2, matplotlib 3.9.2, seaborn 0.13.2

ax = sns.countplot(y='type', data=df, palette='colorblind', hue='type', legend=False)

# get the total count of the type column
total = df['type'].count()

# annotate the bars with fmt from matplotlib v3.7.0
for c in ax.containers:
    ax.bar_label(c, fmt=lambda x: f'{(x/total)*100:0.1f}%')

# add space at the end of the bar for the labels
ax.margins(x=0.1)

ax.set(xlabel='Count', ylabel='Type', title='Movie Type in Disney+')
plt.show()

• The same implementation also works for vertical bars

ax = sns.countplot(x='type', data=df, palette='colorblind', hue='type', legend=False)

# get the total count of the type column
total = df['type'].count()

# annotate the bars with fmt from matplotlib v3.7.0
for c in ax.containers:
    ax.bar_label(c, fmt=lambda x: f'{(x/total)*100:0.1f}%')

plt.show()

• v3.4.0 <= matplotlib < v3.7.0 use the labels parameter.

for c in ax.containers:
    # for horizontal bars
    labels = [f'{(w/total)*100:0.1f}%' if (w := v.get_width()) > 0 else '' for v in c]

    # for vertical bars
    # labels = [f'{(h/total)*100:0.1f}%' if (h := v.get_height()) > 0 else '' for v in c]

    ax.bar_label(c, labels=labels)