Plot Histogram with several variables in Python

We will need seaborn packages to load dataset and plot histogram If you don’t have these packages installed on your system, install it using below commands.

pip install seaborn

pip install seaborn

Plot Histogram with several variables on same axis

Let’s see an example to plot histogram with several variables on the same axis in python.

Installation of Packages

We will need seaborn packages to show histogram. Install package using below command.

pip install seaborn

pip install seaborn

Import libraries

Import seaborn library in our python histogram code.

# Import library

import seaborn as sns

# Import library import seaborn as sns

# Import library

import seaborn as sns

Prepare dataset

Seaborn library has inbuilt datasets. We will use tips dataset to visualize histogram

Load tips dataset using load_dataset() function of seaborn library

# Load the tips dataset

df = sns.load_dataset('tips')

# Load the tips dataset df = sns.load_dataset('tips')

# Load the tips dataset
df = sns.load_dataset('tips')

Cool Tip: Learn How to plot line graph in python !

Plot Histogram using histplot()

Use sns.histplot() function of seaborn module to plot histogram for two variables on the same axis

The first argument defines total_bill column data for histogram
The second argument defines color as skyblue
The third argument defines label as total_bill

To plot second histogram plot on same axis, use data from tip column and assign color as red

# Plot Histogram plot with total_bill column

sns.histplot(data=df["total_bill"] , color="skyblue", label="total_bill")

# Plot Histogram plot with tip column

sns.histplot(data=df["tip"] , color="red", label="tip")

# Plot Histogram plot with total_bill column sns.histplot(data=df["total_bill"] , color="skyblue", label="total_bill") # Plot Histogram plot with tip column sns.histplot(data=df["tip"] , color="red", label="tip")

# Plot Histogram plot with total_bill column
sns.histplot(data=df["total_bill"] , color="skyblue", label="total_bill")

# Plot Histogram plot with tip column
sns.histplot(data=df["tip"] , color="red", label="tip")

Histogram Chart Python Code

Use below entire histogram on same axis python code using seaborn library

# Import library and dataset

import seaborn as sns

df = sns.load_dataset('tips')

# Plot Histogram plot with total_bill column

sns.histplot(data=df["total_bill"] , color="skyblue", label="total_bill")

# Plot Histogram plot with tip column

sns.histplot(data=df["tip"] , color="red", label="tip")

# Import library and dataset import seaborn as sns df = sns.load_dataset('tips') # Plot Histogram plot with total_bill column sns.histplot(data=df["total_bill"] , color="skyblue", label="total_bill") # Plot Histogram plot with tip column sns.histplot(data=df["tip"] , color="red", label="tip")

# Import library and dataset
import seaborn as sns

df = sns.load_dataset('tips')
 
# Plot Histogram plot with total_bill column
sns.histplot(data=df["total_bill"] , color="skyblue", label="total_bill")

# Plot Histogram plot with tip column
sns.histplot(data=df["tip"] , color="red", label="tip")

Python Histogram on same axis visualization output

Histogram on same axis for several variables - Python — Histogram on same axis for several variables – Python

Cool Tip: Learn How to plot vertical subplot line graph in python !

Plot Histogram different axis – Horizontal Plot

Let’s see an example to plot histogram with several variables on the different axis horizontal plot.

Installation of Packages

We will need matplotlib and seaborn packages to show histogram. Install package using below command.

pip install seaborn

pip install matplotlib

pip install seaborn pip install matplotlib

pip install seaborn
pip install matplotlib

Import libraries

Import seaborn library in our python histogram code.

# Import library

import matplot.pyplot as plt

import seaborn as sns

# Import library import matplot.pyplot as plt import seaborn as sns

# Import library
import matplot.pyplot as plt
import seaborn as sns

Prepare dataset

Seaborn library has inbuilt datasets. We will use tips dataset to visualize histogram

Load tips dataset using load_dataset() function of seaborn library

# Load the tips dataset

df = sns.load_dataset('tips')

# Load the tips dataset df = sns.load_dataset('tips')

# Load the tips dataset
df = sns.load_dataset('tips')

Plot Histogram using displot()

Use sns.displot() function of seaborn module to plot histogram chart for two variables on the different axis horizontal plot.

Create subplots for two variables (total_bill and tip column)
to plot histogram for total_bill, use df[“total_bill”] and assign color as skyblue, ax=axes[0]
to plot histogram for tip, use df[“tip”] and assign color as olive, ax = axes[1]

# Create subplots

f, axes = plt.subplots(1, 2, figsize=(7, 5))

# Plot Histogram plot with total_bill column

sns.distplot( df["total_bill"] , color="skyblue", ax=axes[0])

# Plot Histogram plot with tip column

sns.distplot( df["tip"] , color="olive", ax=axes[1])

# Create subplots f, axes = plt.subplots(1, 2, figsize=(7, 5)) # Plot Histogram plot with total_bill column sns.distplot( df["total_bill"] , color="skyblue", ax=axes[0]) # Plot Histogram plot with tip column sns.distplot( df["tip"] , color="olive", ax=axes[1])

# Create subplots 
f, axes = plt.subplots(1, 2, figsize=(7, 5))

# Plot Histogram plot with total_bill column
sns.distplot( df["total_bill"] , color="skyblue", ax=axes[0])

# Plot Histogram plot with tip column
sns.distplot( df["tip"] , color="olive", ax=axes[1])

Histogram Chart Python Code

Use below entire histogram on different axis horizontal plot python code using seaborn library.

# Import library

import seaborn as sns

import matplotlib.pyplot as plt

# Load dataset

df = sns.load_dataset('tips')

# Create subplots

f, axes = plt.subplots(1, 2, figsize=(7, 5))

# Plot Histogram plot with total_bill column

sns.distplot( df["total_bill"] , color="skyblue", ax=axes[0])

# Plot Histogram plot with tip column

sns.distplot( df["tip"] , color="olive", ax=axes[1])

# Import library import seaborn as sns import matplotlib.pyplot as plt # Load dataset df = sns.load_dataset('tips') # Create subplots f, axes = plt.subplots(1, 2, figsize=(7, 5)) # Plot Histogram plot with total_bill column sns.distplot( df["total_bill"] , color="skyblue", ax=axes[0]) # Plot Histogram plot with tip column sns.distplot( df["tip"] , color="olive", ax=axes[1])

# Import library
import seaborn as sns
import matplotlib.pyplot as plt

# Load dataset
df = sns.load_dataset('tips')
 
# Create subplots 
f, axes = plt.subplots(1, 2, figsize=(7, 5))

# Plot Histogram plot with total_bill column
sns.distplot( df["total_bill"] , color="skyblue", ax=axes[0])

# Plot Histogram plot with tip column
sns.distplot( df["tip"] , color="olive", ax=axes[1])

Python Histogram on different axis visualization output

Histogram for several variables on different axis - Python — Histogram for several variables on different axis – Python

Cool Tip: Learn How to plot Treemap chart in python !

Plot Histogram different axis – Vertical Plot

Let’s see an example to plot histogram with several variables on the different axis vertical plot.

Installation of Packages

We will need matplotlib and seaborn packages to show histogram. Install package using below command.

pip install seaborn

pip install matplotlib

pip install seaborn pip install matplotlib

pip install seaborn
pip install matplotlib

Import libraries

Import seaborn library in our python histogram code.

# Import library

import matplot.pyplot as plt

import seaborn as sns

# Import library import matplot.pyplot as plt import seaborn as sns

# Import library
import matplot.pyplot as plt
import seaborn as sns

Prepare dataset

Seaborn library has inbuilt datasets. We will use tips dataset to visualize histogram

Load tips dataset using load_dataset() function of seaborn library

# Load the tips dataset

df = sns.load_dataset('tips')

# Load the tips dataset df = sns.load_dataset('tips')

# Load the tips dataset
df = sns.load_dataset('tips')

Plot Histogram using displot()

Use sns.displot() function of seaborn module to plot histogram for two variables on the different axis vertical plot.

Create subplots for two variables (total_bill and tip column)
to plot histogram for total_bill, use df[“total_bill”] and assign color as skyblue, ax=axes[0]
to plot histogram for tip, use df[“tip”] and assign color as olive, ax = axes[1]

# Create subplots

f, axes = plt.subplots(2, 1, figsize=(5, 7))

# Plot Histogram plot with total_bill column

sns.distplot( df["total_bill"] , color="skyblue", ax=axes[0])

# Plot Histogram plot with tip column

sns.distplot( df["tip"] , color="olive", ax=axes[1])

# Create subplots f, axes = plt.subplots(2, 1, figsize=(5, 7)) # Plot Histogram plot with total_bill column sns.distplot( df["total_bill"] , color="skyblue", ax=axes[0]) # Plot Histogram plot with tip column sns.distplot( df["tip"] , color="olive", ax=axes[1])

# Create subplots 
f, axes = plt.subplots(2, 1, figsize=(5, 7))

# Plot Histogram plot with total_bill column
sns.distplot( df["total_bill"] , color="skyblue", ax=axes[0])

# Plot Histogram plot with tip column
sns.distplot( df["tip"] , color="olive", ax=axes[1])

Histogram Chart Python Code

Use below entire histogram on different axis horizontal plot python code using seaborn library.

# Import library

import seaborn as sns

import matplotlib.pyplot as plt

# Load dataset

df = sns.load_dataset('tips')

# Create subplots

f, axes = plt.subplots(2, 1, figsize=(5, 7))

# Plot Histogram plot with total_bill column

sns.distplot( df["total_bill"] , color="skyblue", ax=axes[0])

# Plot Histogram plot with tip column

sns.distplot( df["tip"] , color="olive", ax=axes[1])

# Import library import seaborn as sns import matplotlib.pyplot as plt # Load dataset df = sns.load_dataset('tips') # Create subplots f, axes = plt.subplots(2, 1, figsize=(5, 7)) # Plot Histogram plot with total_bill column sns.distplot( df["total_bill"] , color="skyblue", ax=axes[0]) # Plot Histogram plot with tip column sns.distplot( df["tip"] , color="olive", ax=axes[1])

# Import library
import seaborn as sns
import matplotlib.pyplot as plt

# Load dataset
df = sns.load_dataset('tips')
 
# Create subplots 
f, axes = plt.subplots(2, 1, figsize=(5, 7))

# Plot Histogram plot with total_bill column
sns.distplot( df["total_bill"] , color="skyblue", ax=axes[0])

# Plot Histogram plot with tip column
sns.distplot( df["tip"] , color="olive", ax=axes[1])

Python Histogram on different axis visualization output

Histogram on different axis vertical plot - Python — Histogram on different axis vertical plot – Python

Cool Tip: Learn How to plot horizontal line graph in python !

Conclusion

I hope you found above article on histogram for several variables on same axis or plot histogram for variables on different axis (horizontal plot) or plot histogram for variables on different axis (vertical plot) using python program informative and educational.