Skip to content
Related Articles

Related Articles

Improve Article
Matplotlib.axes.Axes.plot_date() in Python
  • Last Updated : 13 Apr, 2020

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.plot_date() Function

The Axes.plot_date() function in axes module of matplotlib library is used to plot data that contains dates.

Syntax: Axes.plot_date(self, x, y, fmt=’o’, tz=None, xdate=True, ydate=False, *, data=None, **kwargs)

Parameters: This method accept the following parameters that are described below:

  • x, y: These parameter are the horizontal and vertical coordinates of the data points.
  • fmt: This parameter is an optional parameter and it contains the string value.
  • tz: This parameter is the time zone to use in labeling dates.It contain timezone string.
  • xdate: This parameter is also an optional parameter. And it contain boolean values with default value True. If True, the x-axis will be interpreted as Matplotlib dates.
  • ydate: This parameter is also an optional parameter. And it contain boolean values with default value True. If True, the y-axis will be interpreted as Matplotlib dates.

Returns: This returns the following:



  • lines:This returns the list of Line2D objects representing the plotted data.

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

Example-1:




# Implementation of matplotlib function
      
import datetime
import matplotlib.pyplot as plt
from matplotlib.dates import drange
import numpy as np
  
date1 = datetime.datetime(2020, 4, 2)
date2 = datetime.datetime(2020, 4, 6)
delta = datetime.timedelta(hours = 24)
dates = drange(date1, date2, delta)
  
y = np.arange(len(dates))
  
fig, ax = plt.subplots()
ax.plot_date(dates, y ** 2)
  
ax.set_title('matplotlib.axes.Axes.plot_date Example1')
plt.show()

Output:

Example-2:




# Implementation of matplotlib function
      
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)
  
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(DateFormatter('%Y-%m-%d'))
  
ax.fmt_xdata = DateFormatter('%Y-%m-%d %H:%M:%S')
fig.autofmt_xdate()
ax.set_title('matplotlib.axes.Axes.plot_date Example2')
plt.show()

Output:

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course




My Personal Notes arrow_drop_up
Recommended Articles
Page :