You can use the following basic syntax to create a histogram for each column in a pandas DataFrame:
import pandas as pd import matplotlib.pyplot as plt #define number of subplots fig, axis = plt.subplots(1, 3) #create histogram for each column in DataFrame df.hist(ax=axis)
This particular example uses the subplots() function to specify that there are 3 columns in the DataFrame and then creates a histogram for each column.
The following example shows how to use this syntax in practice.
Example: Create Histogram for Each Column in Pandas Histogram
Suppose we have the following pandas DataFrame that contains three columns:
import pandas as pd import numpy as np #make this example reproducible np.random.seed(1) #create DataFrame df = pd.DataFrame({'points': np.random.normal(loc=20, scale=2, size=300), 'assists': np.random.normal(loc=14, scale=3, size=300), 'rebounds': np.random.normal(loc=12, scale=1, size=300)}) #view head of DataFrame print(df.head()) points assists rebounds 0 23.248691 20.197350 10.927036 1 18.776487 9.586529 12.495159 2 18.943656 11.509484 11.047938 3 17.854063 11.358267 11.481854 4 21.730815 13.162707 10.538596
We can use the following syntax to create a histogram for each of the three columns in the DataFrame:
import matplotlib.pyplot as plt
#define format for subplots (1 row and 3 columns)
fig, axis = plt.subplots(1, 3)
#create histogram for each column in DataFrame
df.hist(ax=axis)
The result is a grid with one row and three columns that displays a histogram for each column in the DataFrame.
If you’d like, you can use the figsize argument to modify the size of the histograms along with the edgecolor and grid arguments to make the histograms look better:
import matplotlib.pyplot as plt
#define format for subplots
fig, axis = plt.subplots(1, 3, figsize=(8,3))
#create histogram for each column in DataFrame
df.hist(ax=axis, edgecolor='black', grid=False)
Feel free to play around with the arguments in the subplots() function to define the exact format and size of the histograms.
Additional Resources
The following tutorials explain how to perform other common tasks in pandas:
How to Change Number of Bins Used in Pandas Histogram
How to Modify the X-Axis Range in Pandas Histogram
How to Plot Histograms by Group in Pandas