Seaborn Bar Plot

Last Updated: 07 Nov 2025

A bar plot shows the average value of a numerical column for each category.

Hinglish Tip 🗣: Category ke hisaab se average compare karna ho (jaise day-wise average bill), bar plot best.

Syntax

sns.barplot(data=df, x='category_col', y='numeric_col')
plt.show()

📘 Example Dataset

df = sns.load_dataset('tips')
df.head()

Basic Bar Plot

sns.barplot(data=df, x='day', y='total_bill')
plt.show()

Important Parameters

data, x, y Dataset and columns to visualize.
hue Split each bar by category.

sns.barplot(data=df, x='day', y='total_bill', hue='sex')
plt.show()

estimator By default, Seaborn uses mean. You can change it to sum, count, etc.

from numpy import median
sns.barplot(data=df, x='day', y='total_bill', estimator=median)
plt.show()

ci (Confidence Interval) Remove the vertical error bars.

sns.barplot(data=df, x='day', y='total_bill', ci=None)
plt.show()

palette Custom color theme.

sns.barplot(data=df, x='day', y='total_bill', palette='magma')
plt.show()

order Control category order.

sns.barplot(data=df, x='day', y='total_bill', order=['Thur', 'Fri', 'Sat', 'Sun'])
plt.show()

hue_order Custom order for hue.

sns.barplot(data=df, x='day', y='total_bill', hue='sex', hue_order=['Male', 'Female'])
plt.show()

saturation Bar color intensity.

sns.barplot(data=df, x='day', y='total_bill', saturation=0.4)
plt.show()

errorbar Control error bar style (new Seaborn versions).

sns.barplot(data=df, x='day', y='total_bill', errorbar=('ci', 95))
plt.show()

⭐ Full Example

sns.barplot(
    data=df,
    x='day',
    y='total_bill',
    hue='sex',
    estimator=sum,
    ci=None,
    palette='coolwarm',
    saturation=0.8,
    order=['Thur','Fri','Sat','Sun'],
    hue_order=['Female','Male']
)
plt.show()

Quick Practice

Use penguins dataset.
Make a barplot of species vs body_mass_g.
Add a hue for sex.
Change estimator to median.
Remove CI.

Report An Issue

← Previous Next →