Matplotlib.axes.Axes.bar() in Python (original) (raw)
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()
`
Output: 