Python中的 matplotlib.pyplot.arrow()

Matplotlib是一个非常强大的绘图库，对使用Python和 NumPy 的人很有用。为了进行统计干扰，可视化我们的数据变得非常必要，而 Matplotlib 是非常有用的工具。它提供类似 MATLAB 的接口，唯一的区别是它使用Python并且是开源的。

matplotlib.pyplot.arrow()

此函数根据传递给它的坐标将箭头添加到图形中。

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

编程需要懂一点英语

示例 #1

Python3

import matplotlib.pyplot as plt
 
 
# Initializing values
# of x and y
x =[1, 2, 3, 4, 5]
y =[2, 4, 6, 8, 10]
 
# Plotting the graph
plt.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 visualization
plt.arrow(2, 4, 2, 2, width = 0.05)
 
# Showing the graph
plt.show()

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 parameter
plt.arrow(2, 4, 2, 2,
          head_width = 0.2,
          width = 0.05)
 
plt.show()

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 green
plt.arrow(2, 4, 2, 2,
          head_width = 0.2,
          width = 0.05,
          ec ='green')
 
plt.show()

输出：

例子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 parameter
plt.arrow(2, 4, 2, 2,
          head_width = 0.2,
          width = 0.05)
 
plt.show()

输出：

示例#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 green
plt.arrow(2, 4, 2, 2,
          head_width = 0.2,
          width = 0.05,
          ec ='green')
 
plt.show()

输出：