Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://www.geeksforgeeks.org/matplotlib-pyplot-grid-in-python/ below:

Matplotlib.pyplot.grid() in Python - GeeksforGeeks

Last Updated : 12 Jul, 2025

matplotlib.pyplot.grid() function in Matplotlib is used to toggle the visibility of grid lines in a plot. Grid lines help improve readability of a plot by adding reference lines at major and/or minor tick positions along the axes. Example:

import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.plot([1, 2, 3], [4, 5, 6])

plt.grid(True)
plt.show()

Output

Explanation: This code plots a basic line graph and enables the grid for both axes, making it easier to read the plot.

matplotlib.pyplot.grid(b=None, which='major', axis='both', **kwargs)

Parameters:

Parameter

Type

Description

b

bool or None, optional

Turns grid on (True), off (False), or toggles (None).

which

'major', 'minor', 'both'

Specifies which grid lines to show.

axis

'both', 'x', 'y'

Selects which axis to draw the grid on.

kwargs

Additional line properties

Customizes grid appearance (e.g., color, linewidth, linestyle).

Returns: This function modifies the grid of the current Axes in-place, meaning it doesn't return anything but updates the plot's grid properties directly.

Example 1: In this example, we plot a sine wave and customize the grid lines by setting the grid to be dashed ('--'), with a red color and reduced opacity (alpha=0.5).

import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 10, 100)
y = np.sin(x)

fig, ax = plt.subplots()
ax.plot(x, y)

plt.grid(True, linestyle='--', linewidth=0.7, color='red', alpha=0.5)
plt.show()

Output

Explanation: we generate a sine wave using np.sin(x) and plot it using Matplotlib. The grid is then customized to appear dashed, with a red color and semi-transparent effect (alpha=0.5), making it less intrusive on the plot.

Example 2: In this example, we plot a simple set of points and enable the grid only on the x-axis to focus on horizontal alignment.

import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.plot([1, 2, 3], [1, 4, 9])

plt.grid(True, axis='x')
plt.show()

Output

Explanation: We create a simple plot with points [1, 2, 3] on the x-axis and [1, 4, 9] on the y-axis. The grid is then enabled only on the x-axis by setting axis='x'. This ensures that only the horizontal grid lines are shown, making the x-axis positioning clearer.

Example 3: In this example, we plot a quadratic curve and enable grid lines for both the x and y axes. The grid lines are set to be solid, green and thicker for better visibility.

import matplotlib.pyplot as plt
fig, ax = plt.subplots()
x = [0, 1, 2, 3, 4]
y = [0, 1, 4, 9, 16]

ax.plot(x, y)
plt.grid(True, which='major', axis='both', linestyle='-', color='green', linewidth=1.5)
plt.show()

Output

Explanation: We plot a quadratic curve with x-values [0, 1, 2, 3, 4] and their squares for y-values. The grid is customized to be solid, green and thicker (linewidth=1.5), enabled for both axes to enhance readability.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4