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_minor_locator() Function
The Axis.set_minor_locator() function in axis module of matplotlib library is used to set the locator of the minor ticker.
Syntax: Axis.set_minor_locator(self, locator)
Parameters: This method accepts the following parameters.
- formatter: This parameter is the locator.
Return value: This method does not returns any value.
Below examples illustrate the matplotlib.axis.Axis.set_minor_locator() function in matplotlib.axis:
Example 1:
# 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 = 0.4
fig, ax = plt.subplots( 1 , 1 )
ax.plot(x, y) ax.xaxis.set_minor_locator(ticker.MultipleLocator(tick_spacing)) fig.suptitle("Matplotlib.axis.Axis.set_minor_locator()\n\ Function Example", fontsize = 12 , fontweight = 'bold' )
plt.show() |
Output:
Example 2:
# Implementation of matplotlib function from matplotlib.axis import Axis
import datetime
import matplotlib.pyplot as plt
from matplotlib.dates import DayLocator, HourLocator, DateFormatter, drange
import numpy as np
date1 = datetime.datetime( 2020 , 4 , 2 )
date2 = datetime.datetime( 2020 , 4 , 6 )
delta = datetime.timedelta(hours = 6 )
dates = drange(date1, date2, delta)
y = np.arange( len (dates))
fig, ax = plt.subplots()
ax.plot_date(dates, y * * 2 )
ax.set_xlim(dates[ 0 ], dates[ - 1 ])
ax.xaxis.set_major_locator(DayLocator()) Axis.set_minor_locator(ax.xaxis, HourLocator( range ( 0 , 25 , 6 )))
ax.xaxis.set_major_formatter(DateFormatter( '%Y-%m-%d' ))
ax.fmt_xdata = DateFormatter( '%Y-%m-%d %H:%M:%S' )
fig.autofmt_xdate() fig.suptitle("Matplotlib.axis.Axis.set_minor_locator()\n\ Function Example", fontsize = 12 , fontweight = 'bold' )
plt.show() |
Output: