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.set_major_locator() Function
The Axis.set_major_locator() function in axis module of matplotlib library is used to set the locator of the major ticker.
Syntax: Axis.set_major_locator(self, locator)
Parameters: This method accepts the following parameters.
- locator: This parameter is the Locator.
Return value: This method does not returns any value.
Below examples illustrate the matplotlib.axis.Axis.set_major_locator() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import numpy as np import matplotlib.pyplot as plt import matplotlib.dates as mdates import matplotlib.cbook as cbook years = mdates.YearLocator() months = mdates.MonthLocator() years_fmt = mdates.DateFormatter('% Y') with cbook.get_sample_data('goog.npz') as datafile: data = np.load(datafile)['price_data'].view(np.recarray) fig, ax = plt.subplots() ax.plot('date', 'adj_close', data = data, color ="green") Axis.set_major_locator(ax.xaxis, years) ax.set_ylim((100, 300)) ax.format_xdata = mdates.DateFormatter('% m') ax.grid(True) fig.suptitle("Matplotlib.axis.Axis.set_major_locator()\n\ Function Example", fontsize = 12, fontweight ='bold') plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import matplotlib.pyplot as plt import matplotlib.ticker as ticker x = [0, 5, 9, 10, 15] y = [0, 1, 2, 3, 4] tick_spacing = 1 fig, ax = plt.subplots(1, 1) ax.plot(x, y) ax.xaxis.set_major_locator(ticker.MultipleLocator(tick_spacing)) fig.suptitle("Matplotlib.axis.Axis.set_major_locator()\n\ Function Example", fontsize = 12, fontweight ='bold') plt.show() |
Output:
