polar函数–Matplotlib

函数功能: Make a polar plot.                   绘制极线图

函数语法： polar(theta, r, **kwargs)

函数参数：

theta: 每个标记所在射线与极径的夹角

r: 每个标记到原点的距离

其他关键字参数： 默认绘制折线图

import matplotlib.pyplot as plt import numpy as np barSlices = 12 theta = np.linspace(0.0, 2*np.pi, barSlices, endpoint=False) r = 30*np.random.rand(barSlices) plt.polar(theta, r) plt.show()

当将线去掉，并不会仅显示产生的标记点。

import matplotlib.pyplot as plt import numpy as np barSlices = 12 theta = np.linspace(0.0, 2*np.pi, barSlices, endpoint=False) r = 30*np.random.rand(barSlices) plt.polar(theta, r, linestyle='None') plt.show()

通过参数$marker$将数据标识出来

import matplotlib.pyplot as plt import numpy as np barSlices = 12 theta = np.linspace(0.0, 2*np.pi, barSlices, endpoint=False) r = 30*np.random.rand(barSlices) plt.polar(theta, r, linestyle='None', marker='*') plt.show()

设置参数$markerfacecolor（mfc）$改变标识的填充颜色

import matplotlib.pyplot as plt import numpy as np barSlices = 12 theta = np.linspace(0.0, 2*np.pi, barSlices, endpoint=False) r = 30*np.random.rand(barSlices) plt.polar(theta, r, linestyle='None', marker='*', markerfacecolor='r') plt.show()

通过参数$markersize(ms)$改变标识大小

import matplotlib.pyplot as plt import numpy as np barSlices = 12 theta = np.linspace(0.0, 2*np.pi, barSlices, endpoint=False) r = 30*np.random.rand(barSlices) plt.polar(theta, r, linestyle='None', marker='*', markerfacecolor='r', markersize=10) plt.show()

将标识以虚线连接，参数$linestyle{=}^{\prime }-{-}^{\prime }$

import matplotlib.pyplot as plt import numpy as np barSlices = 12 theta = np.linspace(0.0, 2*np.pi, barSlices, endpoint=False) r = 30*np.random.rand(barSlices) plt.polar(theta, r, linestyle='--', marker='*', markerfacecolor='r', markersize=10) plt.show()

官方文档： polar函数