Matplotlib.pyplot.xlabels() in Python

Last Updated : 12 Apr, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface.

matplotlib.pyplot.xlabel() Function

The xlabel() function in pyplot module of matplotlib library is used to set the label for the x-axis..

Syntax: matplotlib.pyplot.xlabel(xlabel, fontdict=None, labelpad=None, **kwargs)

Parameters: This method accept the following parameters that are described below:

xlabel: This parameter is the label text. And contains the string value.

labelpad: This parameter is used for spacing in points from the axes bounding box including ticks and tick labels and its default value is None.

**kwargs: This parameter is Text properties that is used to control the appearance of the labels.

Below examples illustrate the matplotlib.pyplot.xlabel() function in matplotlib.pyplot:

Example #1:

# Implementation of matplotlib.pyplot.xlabels() 
# function 
   
import numpy as np 
import matplotlib.pyplot as plt 
  
t = np.arange(-180.0, 180.0, 0.1) 
s = np.radians(t)/2.
  
plt.plot(t, s, '-', lw = 2) 
  
plt.xlabel('Longitude') 
plt.ylabel('Latitude') 
plt.title('xlabels() function') 
plt.grid(True) 
  
plt.show() 

Output:

Example #2:

# Implementation of matplotlib.pyplot.xlabels() 
# function 
   
import numpy as np 
import matplotlib.pyplot as plt 
  
valx1 = np.linspace(0.0, 5.0) 
x2 = np.linspace(0.0, 2.0) 
  
valy1 = np.cos(2 * np.pi * valx1) * np.exp(-valx1) 
y2 = np.cos(2 * np.pi * x2) 
  
plt.subplot(2, 1, 1) 
plt.plot(valx1, valy1, 'o-') 
plt.title('xlabel() Example') 
plt.ylabel('Damped oscillation') 
  
plt.subplot(2, 1, 2) 
plt.plot(x2, y2, '.-') 
plt.xlabel('time (s)') 
plt.ylabel('Undamped') 
  
plt.show() 

Output:

Matplotlib.pyplot.ylabels() in Python

S

SHUBHAMSINGH10

News

Improve

Similar Reads

Matplotlib.pyplot.xlabels() in Python

Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. matplotlib.pyplot.xlabel() Function The xlabel() function in pyplot module of matplotlib library is used

Matplotlib.pyplot.ylabels() in Python

Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. matplotlib.pyplot.ylabel() Function The ylabel() function in pyplot module of matplotlib library is used

Matplotlib.pyplot.ylabel() in Python

Matplotlib is a very powerful plotting library useful for those working with Python and NumPy. And for making statistical interference, it becomes very necessary to visualize our data and Matplotlib is the tool that can be very helpful for this purpose. matplotlib.pyplot.ylabel() This function sets

Matplotlib.pyplot.xlim() in Python

Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. There are various plots which can be used in Pyplot are Line Plot, Contour, Histogram, Scatter, 3D Plot,

Matplotlib.pyplot.sci() in Python

Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. There are various plots which can be used in Pyplot are Line Plot, Contour, Histogram, Scatter, 3D Plot,

Matplotlib.pyplot.title() in Python

The title() method in the Matplotlib module is used to specify the title of the visualization depicted and display the title using various attributes. In this article, we will learn about Matplotlib's title() function with the help of examples. Matplotlib.pyplot.title() Syntax in PythonSyntax: matpl

Matplotlib.pyplot.sca() in Python

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. There are various plots which can be used in Pyplot are Line Plot, Contour, Histogram, Scatter, 3D Plot,

Matplotlib.pyplot.xticks() in Python

Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. matplotlib.pyplot.xticks() Function The annotate() function in pyplot module of matplotlib library is use

Matplotlib.pyplot.subplots() in Python

Matplotlib is a library in Python and it is a numerical-mathematical extension for the NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. subplots() function in Python simplifies the creation of multiple subplots Matplotlib within a single

Matplotlib.pyplot.stem() in Python

Matplotlib is a visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. matplotlib.pyplot.stem() matplotlib.pyplot.stem() creates stem plots. A Stem plot plots vertical

Matplotlib.pyplot.ylim() in Python

Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. matplotlib.pyplot.ylim() Function The ylim() function in pyplot module of matplotlib library is used to g

Matplotlib.pyplot.show() in Python

Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. Sample Code - # sample code import matplotlib.pyplot as plt plt.plot([1, 2, 3, 4], [16, 4, 1, 8]) plt.sho

Matplotlib.pyplot.yscale() in Python

Matplotlib Is a library in Python and it is a numerical - mathematical extension for the NumPy library. Pyplot Is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. matplotlib.pyplot.yscale() in Python The matplotlib.pyplot.yscale() function in pyplot module of ma

matplotlib.pyplot.scatter() in Python

Matplotlib stands as an extensive library in Python, offering the capability to generate static, animated, and interactive visualizations. The Matplotlib.pyplot.scatter() in Python extends to creating diverse plots such as scatter plots, bar charts, pie charts, line plots, histograms, 3-D plots, and

Matplotlib.pyplot.savefig() in Python

Matplotlib is highly useful visualization library in Python. It is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. Visualization plays a very important role as it helps us to understand huge chunks of data and extract knowledge. Ma

Matplotlib.pyplot.twinx() in Python

Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. Sample Code # sample code import matplotlib.pyplot as plt plt.plot([1, 2, 3, 4], [16, 4, 1, 8]) plt.show(

Matplotlib.pyplot.semilogx() in Python

Data Visualization Is an important part of analyzing the data as plotting graphs helps in providing better insight and understanding of the problem. Matplotlib.pyplot is one of the most commonly used libraries to do the same. It helps in creating attractive data and is super easy to use. Matplotlib.

Matplotlib.pyplot.yticks() in Python

Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. Matplotlib.pyplot.yticks() Function The annotate() function in pyplot module of matplotlib library is use

Matplotlib.pyplot.triplot() in python

Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. There are various plots which can be used in Pyplot are Line Plot, Contour, Histogram, Scatter, 3D Plot,

Matplotlib.pyplot.specgram() in Python

Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. matplotlib.pyplot.specgram() Function The specgram() function in pyplot module of matplotlib library is u

Article Tags :

Practice Tags :

python

翻译：