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Matplotlib.pyplot.ylim() in Python
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Matplotlib.pyplot.xlim() in Python

Last Updated : 13 Mar, 2024
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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, etc. #Sample Code Python3 1== 
# sample code import matplotlib.pyplot as plt     plt.plot([1, 2, 3, 4], [16, 4, 1, 8])  plt.show()
Output:

matplotlib.pyplot.xlim() Function

The xlim() function in pyplot module of matplotlib library is used to get or set the x-limits of the current axes. Syntax: 
matplotlib.pyplot.xlim(*args, **kwargs)
Parameters: This method accept the following parameters that are described below:
  • left: This parameter is used to set the xlim to left.
  • right: This parameter is used to set the xlim to right.
  • **kwargs: The **kwargs parameter in Python functions stands for "keyword arguments". It allows you to pass a variable number of keyword arguments to a function.
Returns: This returns the following:
  • left, right: This returns the tuple of the new x-axis limits.
Below examples illustrate the matplotlib.pyplot.ylim() function in matplotlib.pyplot: Example-1: Python3 1== 
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np  h = plt.plot(np.arange(0, 10), np.arange(0, 10)) plt.xlim([-5, 20]) l1 = np.array((1, 1)) angle = 65  th1 = plt.text(l1[0], l1[1], 'Line_angle',                fontsize = 10, rotation = angle,                rotation_mode ='anchor')  plt.title(" matplotlib.pyplot.xlim() Example") plt.show()
Output: Example-2: Python3 1== 
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np  np.random.seed(9680801)  mu, sigma = 50, 13 x = mu + sigma * np.random.randn(10000)  # the histogram of the data n, bins, patches = plt.hist(x, 50,                             density = True,                              facecolor ='g',                              alpha = 0.75)   plt.xlabel('No of Users in K') plt.title('Histogram of IQ') plt.text(50, .035, r'$\mu = 50, \          \ \sigma = 13$')  plt.xlim(-10, 110) plt.ylim(0, 0.04)  plt.grid(True) plt.title(" matplotlib.pyplot.xlim() Example") plt.show()
Output:

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Matplotlib.pyplot.ylim() in Python

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Article Tags :
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