Matplotlib.axes.Axes.bar() in Python

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.bar() Function

The Axes.bar() function in axes module of matplotlib library is used to make a bar plot.

Syntax: Axes.bar(self, x, height, width=0.8, bottom=None, *, align='center', data=None, **kwargs) Parameters: This method accept the following parameters that are described below:

x: This parameter is the sequence of horizontal 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.

bottom: This parameter is also an optional parameter. And it is the y coordinate(s) of the bars bases with default value 0.

alighn: This parameter is also an optional parameter. And it is used for alignment of the bars to the x 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.bar() function in matplotlib.axes: Example #1:

Python3

# Implementation of matplotlib function
     
 
import matplotlib.pyplot as plt
import numpy as np

data = ((30, 1000), (10, 28), (100, 30),
        (500, 800), (50, 10))

dim = len(data[0])
w = 0.6
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.bar(x + i * dimw, y, 
               dimw, 
               bottom = 0.001)

ax.set_xticks(x + dimw / 2)
ax.set_xticklabels(map(str, x))
ax.set_yscale('log')

ax.set_xlabel('x')
ax.set_ylabel('y')

ax.set_title('matplotlib.axes.Axes.bar Example')

plt.show()

Output:

Example #2:

Python3

# 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.bar(labels, mine, width, 
       yerr = Mine_std, 
       label ='Mine')

ax.bar(labels, others, width, 
       yerr = Others_std,
       bottom = mine,
       label ='Others')

ax.set_ylabel('Articles')
ax.legend()

ax.set_title('matplotlib.axes.Axes.bar Example')

plt.show()