Table of Contents
A table can be created using Matplotlib by first importing the necessary library, then defining the data to be included in the table. Next, the table can be created by calling the .table() function and passing in the data as a list or array. Additional formatting options such as row and column labels, cell colors, and borders can be applied using various parameters. Finally, the table can be displayed using the .show() function. This process allows for the creation of customizable and visually appealing tables within a Matplotlib figure.
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()
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()
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)
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