matplotlib.axes.Axes.barh() 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.barh() Function
The Axes.barh() function in axes module of matplotlib library is used to make a horizontal bar plot.
Syntax: Axes.barh(self, y, width, height=0.8, left=None, *, align=’center’, **kwargs)
Parameters: This method accept the following parameters that are described below:
- y: This parameter is the sequence of y coordinates of the bar.
- height: This parameter is the height(s) of the bars.
- width: This parameter is an optional parameter. And it is the width(s) of the bars with default value 0.8.
- left : This parameter is also an optional parameter. And it is the x coordinate(s) of the left sides of the bars.
- align: This parameter is also an optional parameter. And it is used for alignment of the bars to the y coordinates.
Returns: This returns the following:
- BarContainer:This returns the container with all the bars and optionally errorbars.
Below examples illustrate the matplotlib.axes.Axes.barh() function in matplotlib.axes:
Example #1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np data = (( 1000 , 30 ), ( 30 , 10 ), ( 30 , 100 ), ( 800 , 500 ), ( 50 , 10 )) dim = len (data[ 0 ]) w = 0.3 dimw = w / dim fig, ax = plt.subplots() x = np.arange( len (data)) for i in range ( len (data[ 0 ])): y = [d[i] for d in data] b = ax.barh(x + i * dimw, y, dimw, left = 0.001 ) ax.set_yticks(x + dimw / 2 ) ax.set_yticklabels( map ( str , x)) ax.set_xscale( 'log' ) ax.set_title( 'matplotlib.axes.Axes.barh Example' ) plt.show() |
Output:
Example #2:
# ImpleMinetation of matplotlib function import numpy as np import matplotlib.pyplot as plt labels = [ 'Month1' , 'Month2' , 'Month3' , 'Month4' ] mine = [ 21 , 52 , 33 , 54 ] others = [ 54 , 23 , 32 , 41 ] Mine_std = [ 2 , 3 , 4 , 1 ] Others_std = [ 3 , 5 , 2 , 3 ] width = 0.3 fig, ax = plt.subplots() ax.barh(labels, mine, width, xerr = Mine_std, label = 'Mine' ) ax.barh(labels, others, width, xerr = Others_std, left = mine, label = 'Others' ) ax.set_xlabel( 'Articles' ) ax.legend() ax.set_title( 'matplotlib.axes.Axes.barh Example' ) plt.show() |
Output: