matplotlib.pyplot.arrow() in Python

• Last Updated : 20 Jul, 2021

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. It provides MATLAB like interface only difference is that it uses Python and is open source.

matplotlib.pyplot.arrow()

This function adds the arrow to the graph based on the coordinates passed to it.

Syntax: matplotlib.pyplot.arrow(x, y, dx, dy, **kwargs)
Parameters:
x, y: The x and y coordinates of the arrow base.
dx, dy: The length of the arrow along x and y direction.
**kwargs: Optional arguments that helps in adding properties to arrow, like
adding color to arrow, changing width of arrow

Example #1

Python3

 import matplotlib.pyplot as plt  # Initializing values# of x and yx =[1, 2, 3, 4, 5]y =[2, 4, 6, 8, 10] # Plotting the graphplt.plot(x, y) # Adding an arrow to graph starting# from the base (2, 4) and with the# length of 2 units from both x and y# And setting the width of arrow for# better visualizationplt.arrow(2, 4, 2, 2, width = 0.05) # Showing the graphplt.show()

Output: Example 2#

Python3

 import matplotlib.pyplot as plt  x =[1, 2, 3, 4, 5]y =[2, 4, 6, 8, 10] plt.plot(x, y) # Increasing head_width of# the arrow by setting# head_width parameterplt.arrow(2, 4, 2, 2,          head_width = 0.2,          width = 0.05) plt.show()

Output: Example #3

Python3

 import matplotlib.pyplot as plt  x =[1, 2, 3, 4, 5]y =[2, 4, 6, 8, 10]plt.plot(x, y) # changing the edge color# to greenplt.arrow(2, 4, 2, 2,          head_width = 0.2,          width = 0.05,          ec ='green') plt.show()

Output: My Personal Notes arrow_drop_up