![]() To set the axis limit, we use setp() function and to represent the object we use gca() function of pyplot module.To define x and y data coordinates, use arange() and sin() function of numpy. ![]() Import numpy library for data creation.Import matplotlib.pyplot library for data visualization.In this example, we use setp() function with ylim() function to set y-axis range. **kwargs: There are a variety of keyword arguments that can be used.obj: The artist object is represented by this argument.The following is the syntax: (obj, ,\*args, \*\*kwargs) To set the property on an artist object, use the setp() function in the pyplot module of the matplotlib package. Here we’ll learn how we can use setp() function for setting y-axis range using matplotlib. Read: Matplotlib 2d surface plot Matplotlib y axis range setp To display the plot, use plot() function.To set the y-axis limit, we use axis() method and we set xmin and xmax to None and ymin and ymax to -0.75 and 1.5 respectively.To plot the boxplot, use boxplot() function.To define the data coordinate, use random.rand() function.Then, use DataFrame() function to create data frame.Then, import matplotlib.pyplot library as plt for data visualization.Also, import numpy library as np for data creation.Import pandas library as pd for data creation.In this example, we’ll use the axis() method to set the limit. We can also call the bottom and top limit instead of the min and max limit. Here, we set the minimum limit to 0 and the maximum limit to 200. To display the graph, we use the show() function.To auto-adjust the space between subplots, we use the tight_layout() function.Here we change the x-axis limit of 1st subplot by using the set_ylim() function.To plot a graph, we use the plot() function of the axes module. ![]()
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