Python中的 Matplotlib.pyplot.thetagrids()

Matplotlib是Python编程语言的绘图库，其数值数学模块是 NumPy。 matplotlib.pyplot是使 matplotlib 像 MATLAB 工具一样工作的命令样式函数的集合。每个 pyplot 函数都会对图形进行某些更改：例如，创建图形，在图形中创建绘图区域，在绘图区域中绘制一些线条或用标签装饰绘图等。
注意：更多信息请参考 Matplotlib 中的 Pyplot

Matplotlib.pyplot.thetagrids()

在极坐标图中设置网格线的 theta 位置。如果未传递任何参数，则返回一个元组 (lines, labels)，其中lines 是径向网格线数组（Line2D 实例），labels 是刻度标签数组（Text 实例）：

Syntax: lines, labels = thetagrids(angles, labels=None, fmt=’%d’, frac = 1.5)
Parameters:

• Angles:

set the angles to the place of theta grids (these gridlines are equal along the theta dimension)

• labels:

if not None, then it is len(angles) or list of strings of the labels to use at each angle. If labels are None, the labels will be fmt%angle.
 

frac: It is the fraction of the polar axes radius at the place of label (1 is the edge). e.g., 1.25 is outside the axes and 0.75 is inside the axes. 
 

Return Type: Return value is a list of tuples (lines, labels)
Note: lines are Line2D instances, labels are Text instances.

例子：

Python3

import matplotlib.pyplot as plt
import numpy as np
    
employee = ["Rahul", "Joy", "Abhishek",
            "Tina", "Sneha"]
  
actual = [41, 57, 59, 63, 52, 41]
expected = [40, 59, 58, 64, 55, 40]
    
# Initialing the spiderplot by 
# setting figure size and polar
# projection
plt.figure(figsize =(10, 6))
plt.subplot(polar = True)
    
theta = np.linspace(0, 2 * np.pi, len(actual))
    
# Arranging the grid into number 
# of sales into equal parts in
# degrees
lines, labels = plt.thetagrids(range(0, 360, int(360/len(employee))),
                                                         (employee))
    
# Plot actual sales graph
plt.plot(theta, actual)
plt.fill(theta, actual, 'b', alpha = 0.1)
    
# Plot expected sales graph
plt.plot(theta, expected)
    
# Add legend and title for the plot
plt.legend(labels =('Actual', 'Expected'),
           loc = 1)
plt.title("Actual vs Expected sales by Employee")
    
# Display the plot on the screen
plt.show()

输出：