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matplotlib.axes.Axes.barh() in Python

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  • 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.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:


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