[FIXED] Seaborn: How to change the color of individual bars in histogram?

Issue

I was looking on internet but i didn't get any solution.

I have this graph and I want to change the color of the first bar, if I use the parameter 'color' it changes all the bars.

Is it possible to do this? Thank u so much!

Solution

You could access the list of generated rectangles via ax.patches, and then recolor the first one:

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

df = pd.DataFrame({'Sales': 100000 * (np.random.rand(80) ** 1.5) + 18000})
ax = sns.histplot(x='Sales', data=df, bins=4, color='skyblue', alpha=1)
ax.patches[0].set_facecolor('salmon')
plt.show()

To get a separation exactly at 40.000, you could create two histograms on the same subplot. With binrange= exact limits can be set:

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

df = pd.DataFrame({'Sales': 100000 * (np.random.rand(80) ** 1.5) + 18000})
# either choose a fixed limit, or set it exactly at one fourth
limit = 40000
# limit = df['Sales'].min() + 0.25 * (df['Sales'].max() - df['Sales'].min())
ax = sns.histplot(x='Sales', data=df[df['Sales'] <= limit],
                  bins=1, binrange=(df['Sales'].min(), limit), color='salmon')
sns.histplot(x='Sales', data=df[df['Sales'] > limit],
             bins=3, binrange=(limit, df['Sales'].max()), color='skyblue', ax=ax)
plt.show()

Answered By - JohanC