Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.grid() Function
The Axes.grid() function in axes module of matplotlib library is used to Configure the grid lines.
Syntax: Axes.grid(self, b=None, which=’major’, axis=’both’, **kwargs)
Parameters: This method accept the following parameters.
- b : This parameter is an optional parameter, whether to show the grid lines or not.
- which : This parameter is also an optional parameter and it is the grid lines to apply the changes on.
- axis :This parameter is also an optional parameter and it is the axis to apply the changes on.
Returns:This method does not return any value.
Below examples illustrate the matplotlib.axes.Axes.grid() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np fig, ax = plt.subplots() ax.plot([1, 2, 3]) ax.grid() ax.set_title('matplotlib.axes.Axes.grid() Example\n', fontsize = 12, fontweight ='bold') plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt x = np.arange(-5, 5, 0.01) y1 = -3 * x*x + 10 * x + 10y2 = 3 * x*x + x fig, [ax, ax1] = plt.subplots(2, 1, sharex = True) ax.plot(x, y1, x, y2, color ='black') ax.fill_between(x, y1, y2, where = y2 >y1, facecolor ='green', alpha = 0.8) ax.fill_between(x, y1, y2, where = y2 <= y1, facecolor ='black', alpha = 0.8) ax.xaxis.grid(True, color ="black") ax.set_title('matplotlib.axes.Axes.grid() \ Example\n\n Grid in X-axis', fontsize = 12, fontweight ='bold') ax1.plot(x, y1, x, y2, color ='black') ax1.fill_between(x, y1, y2, where = y2 >y1, facecolor ='green', alpha = 0.8) ax1.fill_between(x, y1, y2, where = y2 <= y1, facecolor ='black', alpha = 0.8) ax1.yaxis.grid(True, color ="black") ax1.set_title('Grid in y-axis', fontsize = 12, fontweight ='bold') plt.show() |
Output:
