Matplotlib.axes.Axes.format_xdata() in Python

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Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.format_xdata() Function

The Axes.format_xdata() function in axes module of matplotlib library is used to return x formatted as an x-value.

Syntax:

Axes.format_xdata(self, x)

Below examples illustrate the matplotlib.axes.Axes.format_xdata() function in matplotlib.axes:

Example 1:

# Implementation of matplotlib function 
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") 
  
ax.xaxis.set_major_locator(years) 
ax.set_ylim((100, 300)) 
  
ax.format_xdata = mdates.DateFormatter('% m') 
ax.grid(True) 
  
fig.suptitle('matplotlib.axes.Axes.format_xdata() function\ 
 Example', fontweight ="bold") 
plt.show() 

Output:

Example 2:

# Implementation of matplotlib function 
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'] 
  
fig, ax = plt.subplots() 
ax.plot('date', 'adj_close', data = data) 
  
ax.xaxis.set_major_locator(years) 
ax.xaxis.set_major_formatter(years_fmt) 
ax.xaxis.set_minor_locator(months) 
  
ax.format_xdata = mdates.DateFormatter('% Y') 
ax.grid(True) 
  
fig.autofmt_xdate() 
  
fig.suptitle('matplotlib.axes.Axes.format_xdata() function \ 
Example', fontweight ="bold") 
plt.show() 