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
# sample codeimport 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: This parameter is Text properties that is used to control the appearance of the labels.
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:
# Implementation of matplotlib functionimport matplotlib.pyplot as pltimport 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:
# Implementation of matplotlib functionimport matplotlib.pyplot as pltimport numpy as np np.random.seed(9680801) mu, sigma = 50, 13x = mu + sigma * np.random.randn(10000) # the histogram of the datan, 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:
