Matplotlib.axes.Axes.plot_date() in Python
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:
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()
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Output:
Example-2:
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()
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Output:
Last Updated :
13 Apr, 2020
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