Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.
matplotlib.axis.Axis.get_minorticklocs() Function
The Axis.get_minorticklocs() function in axis module of matplotlib library is used to get the array of minor tick locations in data coordinates.
Syntax: Axis.get_minorticklocs(self)
Parameters: This method does not accepts any parameter.
Return value: This method returns the array of minor tick locations in data coordinates.
Below examples illustrate the matplotlib.axis.Axis.get_minorticklocs() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis from matplotlib.artist import Artist from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot as plt import matplotlib fig, ax = plt.subplots() def tellme(s): ax.set_title(s, fontsize = 16) fig.canvas.draw() renderer = fig.canvas.renderer Artist.draw(ax, renderer) tellme("Matplotlib.axis.Axis.get_minorticklocs()\n\ Function Example") ax.grid() print("Value of get_minorticklocs() :") ax.xaxis.set_minor_locator(matplotlib.ticker.MultipleLocator(1)) for i in ax.xaxis.get_minorticklocs(): print(i) plt.show() |
Output:
Value of get_minorticklocs() : -1.0 2.0
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis from matplotlib.artist import Artist from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot as plt import matplotlib fig = plt.figure() ax = fig.add_subplot(111, projection ='3d') X, Y, Z = axes3d.get_test_data(0.1) ax.plot_wireframe(X, Y, Z, rstride = 5, cstride = 5) ax.view_init(30, 50) fig.canvas.draw() renderer = fig.canvas.renderer Artist.draw(ax, renderer) ax.xaxis.set_minor_locator(matplotlib.ticker.MultipleLocator(8)) fig.suptitle('Matplotlib.axis.Axis.get_minorticklocs()\n\ Function Example') ax.grid() print("Value of get_minorticklocs() :") for i in ax.xaxis.get_minorticklocs(): print(i) plt.show() |
Output:
Value of get_minorticklocs() : -32.0 -24.0 -16.0 -8.0 8.0 16.0 24.0 32.0
