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.stem() Function
The Axes.stem() function in axes module of matplotlib library is used to create a stem plot.
Syntax: Axes.stem(self, *args, linefmt=None, markerfmt=None, basefmt=None, bottom=0, label=None, use_line_collection=False, data=None)
Parameters: This method accept the following parameters that are described below:
- x: This parameter is the sequence of x coordinates of the stems.
- y: This parameter is the sequence of y coordinates of the stem heads.
- linefmt: This parameter is the string defining the properties of the vertical lines.
- markerfmt: This parameter is the string defining the properties of the markers at the stem heads.
- basefmt: This parameter is the string defining the properties of the baseline.
- bottom: This parameter is the y-position of the baseline.
- label: This parameter is the label to use for the stems in legends.
Returns: This returns the following:
- StemContainer: This returns the container which may be treated like a tuple (markerline, stemlines, baseline).
Below examples illustrate the matplotlib.axes.Axes.broken_barh() function in matplotlib.axes:
Example-1:
# Implementation of matplotlib function import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.stem([ 0.3 , 1.5 , 2.7 ], [ 1 , 3.6 , 2.7 ], label = "stem test" ) ax.legend() ax.set_title( 'matplotlib.axes.Axes.stem Example' ) plt.show() |
Output:
Example-2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np x = np.linspace( 0.1 , 2 * np.pi, 41 ) y = np.exp(np.sin(x)) fig, ax = plt.subplots() ax.stem(x, y, linefmt = 'grey' , markerfmt = 'D' , bottom = 1.1 , use_line_collection = True ) ax.set_title( 'matplotlib.axes.Axes.stem Example' ) plt.show() |