How to Add Text Inside the Plot in Matplotlib

Suraj Joshi Feb 15, 2024
How to Add Text Inside the Plot in Matplotlib

We use the matplotlib.pyplot.text() method to add text inside a plot in Matplotlib.

matplotlib.pyplot.text() Method

matplotlib.pyplot.text() adds text to the figure or to the axes in Matplotlib.

Syntax

matplotlib.pyplot.text(x, y, s, fontdict=None, **kwargs)

x and y represent the coordinates where we need to place the text, and s is the text’s content that needs to be added. The fontdict parameter is a dictionary used to set the properties of the text.

Examples: Add Text Inside the Plot Matplotlib Using matplotlib.pyplot.text() Method

import matplotlib.pyplot as plt

plt.text(0.55, 0.55, "Hello World!", fontsize=20, color="green")
plt.show()

Output:

Add text inside the plot Matplotlib

It will simply put the text inside the plot at position (0.55, 0.55) with font size as 20 and green color. By default, the limit of both the X-axis and Y-axis ranges from 0 to 1, so we won’t be able to see the text out of this range.

To put the text at any position with the X-axis or Y-axis out of the range (0,1), we need to change the limit of the respective axis.

import matplotlib.pyplot as plt

plt.text(4, 6, "Hello World!", fontsize=20, color="green")
plt.xlim([0, 10])
plt.ylim([0, 10])

plt.show()

Output:

Add text inside the plot at any position Matplotlib

We can also add various styling to the text using the **kwargs.

import matplotlib.pyplot as plt

plt.text(
    5,
    5,
    "Hello World!",
    fontsize=20,
    color="red",
    verticalalignment="top",
    horizontalalignment="center",
    bbox={"facecolor": "grey", "pad": 10},
)

plt.xlim([0, 10])
plt.ylim([0, 10])
plt.show()

Output:

Add text inside the plot Matplotlib with styling

Author: Suraj Joshi
Suraj Joshi avatar Suraj Joshi avatar

Suraj Joshi is a backend software engineer at Matrice.ai.

LinkedIn