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

# 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()

# 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()