Matplotlib is a library in Python and it is numerical ā 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.set_axis_on() Function
The Axes.set_axis_on() function in axes module of matplotlib library is used to turn the x- and y-axis on and this affects the axis lines, ticks, ticklabels, grid and axis labels.
Syntax: Axes.set_axis_on(self)
Parameters: This method does not accept any parameters.
Returns:This method does not returns anything.
Note: This function works only when set_axis_off function is used previously.
Below examples illustrate the matplotlib.axes.Axes.set_axis_on() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np Ā Ā Ā Ā Ā # Time series data neveropenx = np.array([24.40, 110.25, 20.05, Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 22.00, 61.90, 7.80,Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 15.00]) Ā Ā neveropeny = np.array([24.40, 110.25, 20.05, Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 22.00, 61.90, 7.80, Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 15.00]) Ā Ā Ā Ā Ā fig, ax = plt.subplots() ax.xcorr(neveropenx,Ā neveropeny, maxlags = 6,Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā color ="green") Ā Ā Ā ax.set_axis_off() ax.set_axis_on() ax.set_title('matplotlib.axes.Axes.set_axis_on() \ Example') plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import matplotlib.tri as mtri import numpy as np Ā Ā Ā Ā Ā x = np.asarray([0, 1, 2, 3, 0.5, Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 1.5, 2.5, 1, 2, Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 1.5]) y = np.asarray([0, 0, 0, 0, 1.0, Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 1.0, 1.0, 2, 2, Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 3.0]) Ā Ā triangles = [[0, 1, 4], [1, 5, 4],Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā [2, 6, 5], [4, 5, 7], Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā [5, 6, 8], [5, 8, 7],Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā [7, 8, 9], [1, 2, 5],Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā [2, 3, 6]] Ā Ā triang = mtri.Triangulation(x, y, triangles) z = np.cos(1.5 * x) * np.cos(1.5 * y) Ā Ā Ā Ā Ā fig, [axs, axs1] = plt.subplots(1, 2) axs.tricontourf(triang, z) axs.triplot(triang, 'go-', color ='white') axs.set_axis_off() axs.set_title('Without set_axis_on',Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā fontsize = 10,Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā fontweight ='bold') Ā Ā axs1.tricontourf(triang, z) axs1.triplot(triang, 'go-', color ='white') axs1.set_xlabel("X-axis") axs1.set_ylabel("Y-axis") axs1.set_axis_off() Ā Ā axs1.set_axis_on() axs1.set_title('With set_axis_on ', Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā fontsize = 10, Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā fontweight ='bold') Ā Ā plt.show() |
Output:
