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Matplotlib.axis.Axis.set_major_formatter() function in Python
  • Last Updated : 03 Jun, 2020

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_formatter() Function

The Axis.set_major_formatter() function in axis module of matplotlib library is used to set the formatter of the major ticker.
 

Syntax: Axis.set_major_formatter(self, formatter)

Parameters: This method accepts the following parameters. 

  • formatter: This parameter is the Formatter.

Return value: This method does not returns any value. 



Below examples illustrate the matplotlib.axis.Axis.set_major_formatter() function in matplotlib.axis:
Example 1:
 

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# 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)
  
for tick in ax.yaxis.get_major_ticks():
    tick.label1.set_color('green')
  
plt.title("Matplotlib.axis.Axis.set_major_formatter()\n\
Function Example", fontsize = 12, fontweight ='bold'
  
plt.show()

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Output: 
 

Example 2:
 

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# 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, 'g'
      
ax.set_xlim(dates[0], dates[-1]) 
      
ax.xaxis.set_major_locator(DayLocator()) 
ax.xaxis.set_minor_locator(HourLocator(range(0, 25, 6))) 
ax.xaxis.set_major_formatter(plt.NullFormatter()) 
      
ax.fmt_xdata = DateFormatter('% Y-% m-% d % H:% M:% S'
fig.autofmt_xdate() 
   
plt.title("Matplotlib.axis.Axis.set_major_formatter()\n\
Function Example", fontsize = 12, fontweight ='bold'
  
plt.show()

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Output: 
 

 

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