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

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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()