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Matplotlib.axis.Axis.axis_date() function in Python

  • Last Updated : 05 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.axis_date() Function

The Axis.axis_date() function in axis module of matplotlib library is used to set up axis ticks and labels treating data along this axis as dates. 
 

Syntax: Axis.axis_date(self, tz=None) 

Parameters: This method accepts the following parameters. 

  • tz : This parameter is the timezone used to create date labels.

Return value: This method does not return any value. 



Below examples illustrate the matplotlib.axis.Axis.axis_date() function in matplotlib.axis:

Example 1:

Python3




# Implementation of matplotlib function 
from matplotlib.axis import Axis
import datetime as dt
import matplotlib.pyplot as plt
from matplotlib.dates import DateFormatter, MinuteLocator
  
x = [16.7,16.8,17.1,17.4]
y = [15,17,14,16]
plt.plot(x, y)
  
plt.gca().yaxis.axis_date()
  
plt.title("Matplotlib.axis.Axis.axis_date()\
Function Example", fontsize = 12, fontweight ='bold')
  
plt.show()

Output: 

Example 2:
 

Python3




# Implementation of matplotlib function 
from matplotlib.axis import Axis  
from datetime import datetime 
import matplotlib.pyplot as plt 
from matplotlib.dates import
    DateFormatter, AutoDateLocator, AutoDateFormatter, datestr2num 
    
    
days =
    '30/01/2019'
    '31/01/2019',  
    '01/02/2019'
    '02/02/2019',  
    '03/02/2019',  
    '04/02/2019'
data1 = [2, 5, 13, 6, 11, 7
data2 = [6, 3, 10, 3, 6, 5
    
z = datestr2num([ 
    datetime.strptime(day, '%d/%m/%Y').strftime('%m/%d/%Y'
    for day in days 
]) 
    
r = 0.25
    
figure = plt.figure(figsize =(8, 4)) 
axes = figure.add_subplot(111
    
axes.bar(z - r, data1, width = 2 * r, 
         color ='g', align ='center'
         tick_label = days)  
axes.bar(z + r, data2, width = 2 * r, 
         color ='y', align ='center',  
         tick_label = days) 
    
axes.xaxis.axis_date()
  
plt.title("Matplotlib.axis.Axis.axis_date()\
Function Example", fontsize = 12, fontweight ='bold'
  
plt.show()

Output: 

 

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