Matplotlib is a plotting library for creating static, animated, and interactive visualizations in Python.\ Pyplot is a Matplotlib module which provides a MATLAB-like interface. Matplotlib is designed to be as usable as MATLAB, with the ability to use Python and the advantage of being free and open-source.
matplotlib.pyplot.axvspan()
This function sets the vertical rectangle across the axes of the plot
Syntax: matplotlib.pyplot.axvspan(xmin, xmax, ymin=0, ymax=1, **kwargs)
Parameters:
xmin :Number indicating the starting position of the vertical rectangle on X-axis
xmin :Number indicating the ending position of the vertical rectangle on X-axis
ymin :vertical rectangle starting position on y axis, it will take values between 0 and 1, 0 being bottom of the axis, 1 being top of the axis
ymax :vertical rectangle ending position on y axis, it will take values between 0 and 1, 0 being bottom of the axis, 1 being top of the axis
**kwargs :Other optional parameters to change the properties of the rectangle, like changing color etc.
Example #1:
# Importing matplotlib.pyplot as plt import matplotlib.pyplot as plt # Initializing x and y x =[1, 15, 27, 48, 50] y =[1, 12, 22, 45, 67] # Plotting the graph plt.plot(x, y) # Drawing rectangle starting # x = 5 and extending till x = 20 # With vertical span starting at # half the length of y-axis(ymin = 0.5) # And extending till the top of # axis(ymax = 1) plt.axvspan(5, 20, ymin = 0.5, ymax = 1) plt.show() |
Output:
Example #2:
import matplotlib.pyplot as plt x =[1, 15, 27, 48, 50] y =[1, 12, 22, 45, 67] plt.plot(x, y) # Drawing rectangle starting # x = 5 and extending till x = 15 # With vertical span starting at # 25 % the length of y-axis # And extending till the 80 % of # axis And also we are setting # the color of rectangle to yellow # and its edge color to blue plt.axvspan(5, 15, ymin = 0.25, ymax = 0.80, ec ='blue', color ='yellow') plt.show() |
Output :
Example #3:
import matplotlib.pyplot as plt x =[1, 15, 27, 48, 50] y =[1, 12, 22, 45, 67] plt.plot(x, y) # Setting alpha will make # the rectangle transparent plt.axvspan(10, 30, ymin = 0.15, ymax = 0.70, ec ='blue', color ='yellow', alpha = 0.5) plt.show() |
Output :
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