matplotlib 中的复杂极坐标图 [英] Complex polar plot in matplotlib

问题描述

我想创建一个类似于以下的极坐标图:

我找不到如何在不同角度范围内添加两个不同函数的示例.我不需要中间的径向偏移，但可能会很好.任何指针，已知示例都将是超级的！

解决方案

它看起来就像其他用 matplotlib 绘图一样，即如果你想绘制两条曲线，你调用 plt.polar 多次.

这是一个例子:

将 numpy 导入为 np导入 matplotlib.pyplot 作为 pltblue_thetas = np.linspace(np.pi/3, 2*np.pi/3, 100)red_thetas = np.linspace(4*np.pi/3, 6*np.pi/3, 100)blue_rs = np.random.uniform(4, 6, len(blue_thetas))red_rs = np.random.uniform(3, 5, len(red_thetas))red_curve = plt.polar(red_thetas, red_rs, c='r', label="calculated")blue_curve = plt.polar(blue_thetas, blue_rs, c='b', label="measured")plt.legend(loc=10)plt.xticks(np.concatenate((red_thetas[::20], blue_thetas[::30])))plt.title("测试极坐标图像")plt.show()

来源:

I would like to create a polar plot similar the following:

I can't find an example of how to add two different functions over different ranges of angles. I don't need the radial offset in the middle, but might be nice. Any pointers, known examples would be super!

解决方案

It appears to be just like other plotting with matplotlib, i.e. if you want to plot two curves, you call plt.polar multiple times.

Here is an example:

import numpy as np
import matplotlib.pyplot as plt

blue_thetas = np.linspace(np.pi/3, 2*np.pi/3, 100)
red_thetas = np.linspace(4*np.pi/3, 6*np.pi/3, 100)

blue_rs = np.random.uniform(4, 6, len(blue_thetas))
red_rs = np.random.uniform(3, 5, len(red_thetas))

red_curve = plt.polar(red_thetas, red_rs, c='r', label="calculated")
blue_curve = plt.polar(blue_thetas, blue_rs, c='b', label="measured")
plt.legend(loc=10)

plt.xticks(np.concatenate((red_thetas[::20], blue_thetas[::30])))

plt.title("test polar image")
plt.show()

source: https://matplotlib.org/3.1.1/gallery/misc/transoffset.html#sphx-glr-gallery-misc-transoffset-py

Another stackoverflow post that might be useful for you is this: floating radial axis

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