How to Create a Table with Matplotlib


You can use one of the two following methods to create tables in Python using Matplotlib:

Method 1: Create Table from pandas DataFrame

#create pandas DataFrame
df = pd.DataFrame(np.random.randn(20, 2), columns=['First', 'Second'])

#create table
table = ax.table(cellText=df.values, colLabels=df.columns, loc='center')

Method 2: Create Table from Custom Values

#create values for table
table_data=[
    ["Player 1", 30],
    ["Player 2", 20],
    ["Player 3", 33],
    ["Player 4", 25],
    ["Player 5", 12]
]

#create table
table = ax.table(cellText=table_data, loc='center')

This tutorial provides examples of how to use these methods in practice.

Example 1: Create Table from pandas DataFrame

The following code shows how to create a table in Matplotlib that contains the values in a pandas DataFrame:

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

#make this example reproducible
np.random.seed(0)

#define figure and axes
fig, ax = plt.subplots()

#hide the axes
fig.patch.set_visible(False)
ax.axis('off')
ax.axis('tight')

#create data
df = pd.DataFrame(np.random.randn(20, 2), columns=['First', 'Second'])

#create table
table = ax.table(cellText=df.values, colLabels=df.columns, loc='center')

#display table
fig.tight_layout()
plt.show()

Matplotlib table

Example 2: Create Table from Custom Values

The following code shows how to create a table in Matplotlib that contains custom values:

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

#define figure and axes
fig, ax = plt.subplots()

#create values for table
table_data=[
    ["Player 1", 30],
    ["Player 2", 20],
    ["Player 3", 33],
    ["Player 4", 25],
    ["Player 5", 12]
]

#create table
table = ax.table(cellText=table_data, loc='center')

#modify table
table.set_fontsize(14)
table.scale(1,4)
ax.axis('off')

#display table
plt.show()

matplotlib table with custom values

Note that the table.scale(width, length) modifies the width and length of the table. For example, we could make the table even longer by modifying the length:

table.scale(1,10)

Table in matplotlib

Additional Resources

How to Add Text to Matplotlib Plots
How to Set the Aspect Ratio in Matplotlib
How to Change Legend Font Size in Matplotlib

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