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:
