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_majorticklabels() Function
The Axis.get_majorticklabels() function in axis module of matplotlib library is used to get a list of Text instances for the major ticklabels.
Syntax: Axis.get_majorticklabels(self)
Parameters: This method does not accepts any parameter.
Return value: This method returns the list of Text instances for the major ticklabels.
Below examples illustrate the matplotlib.axis.Axis.get_majorticklabels() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function import numpy as np from matplotlib.axis import Axis import matplotlib.pyplot as plt import matplotlib.ticker as ticker np.random.seed(19680801) fig, ax = plt.subplots() ax.plot(100*np.random.rand(20)) formatter = ticker.FormatStrFormatter('%1.2f') Axis.set_major_formatter(ax.yaxis, formatter) print("Value of get_major_ticks() :") for i in ax.xaxis.get_majorticklabels(): print(i) plt.title("Matplotlib.axis.Axis.get_majorticklabels()\n\ Function Example", fontsize = 12, fontweight ='bold') plt.show() |
Output:
Value of get_majorticklabels() : Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '')
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis from matplotlib.artist import Artist import matplotlib.pyplot as plt import numpy as np np.random.seed(19680801) n = 100000x = np.random.standard_normal(n) y = 2 * np.random.standard_normal(n) z =[1, 2, 3, 4] xmin = x.min() xmax = x.max() ymin = y.min() ymax = y.max() fig, ax = plt.subplots() hb = ax.hexbin(x, y, gridsize = 50, bins ='log', cmap ='BuGn') ax.set(xlim =(xmin, xmax), ylim =(ymin, ymax)) ax.xaxis.set_ticklabels(["A","B","C","D","E","F","G","H","I","J","K"]) print("Value of get_majorticklabels() :") for i in ax.xaxis.get_majorticklabels(): print(i) plt.title("Matplotlib.axis.Axis.get_majorticklabels()\n\ Function Example", fontsize = 12, fontweight ='bold') plt.show() |
Output:
Value of get_majorticklabels() : Text(0, 0, 'A') Text(0, 0, 'B') Text(0, 0, 'C') Text(0, 0, 'D') Text(0, 0, 'E') Text(0, 0, 'F') Text(0, 0, 'G') Text(0, 0, 'H') Text(0, 0, 'I') Text(0, 0, 'J') Text(0, 0, 'K')
