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I am using seaborn's countplot to show count distribution of 2 categorical data. Fine it works but I want the percentages to show on top of the bars for each of the plot. Please how do I do it?

fig, ax = plt.subplots(1, 2)
sns.countplot(y = df['current_status'], ax=ax[0]).set_title('Current Occupation')
sns.countplot(df['gender'], ax=ax[1]).set_title('Gender distribution')

I have made edits based on the comments made but I can't get the percentages to the right of horizontal bars. This is what I have done.

total = len(df['current_status'])*1.
ax = sns.countplot(y="current_status", data=df)
plt.title('Distribution of Configurations')
plt.xlabel('Number of Axles')

for p in ax.patches:
 ax.annotate(':.1f%'.format(100*p.get_height()/total), (p.get_y()+0.1, p.get_height()+5))
_ = ax.set_xticklabels(map(':.1f%'.format, 100*ax.xaxis.get_majorticklocs()/total))

Here is a working example to add a text to the right of horizontal bars:

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns

df = pd.DataFrame(np.array([['a'], ['a'], ['b']]), columns=['current_status'])
ax = sns.countplot(y="current_status", data=df)
plt.title('Distribution of Configurations')
plt.xlabel('Number of Axles')

total = len(df['current_status'])
for p in ax.patches:
 percentage = ':.1f%'.format(100 * p.get_width()/total)
 x = p.get_x() + p.get_width() + 0.02
 y = p.get_y() + p.get_height()/2
 ax.annotate(percentage, (x, y))

plt.show()

Output:

You can move the texts around by changing the formula for x and y. For example, to place them on top:

x = p.get_x() + p.get_width() / 2
y = p.get_y() - 0.02

Here is a general guideline for annotating axes.