多轴多尺度雷达图 [英] Radar chart with multiple scales on multiple axes

问题描述

我想使用 matplotlib 在多个轴上绘制具有多个刻度的雷达图.官方 API 示例 在一个轴上只给出了一个比例.(本例中的比例为 0.2,0.4,0.6,0.8)

I want to plot a radar chart with multiple scales on multiple axes using matplotlib. The official API example gives only one scale on one axis. (Scales are 0.2,0.4,0.6,0.8 in this example)

我想在所有轴上使用不同的比例.(在给定的示例中有 9 个轴.)

I want different scales on all axes. (There are 9 axes in the given example.)

我在此处找到了我正在寻找的示例.这个例子有 5 个轴，就像我想要的那样，所有轴上都有 5 个刻度.

I found an example of what I am looking for here. There are 5 axes on this example and 5 scales on all axes just like I want.

推荐答案

我认为你可以用多个轴来绘制这个，线在第一个轴上，其他轴只显示刻度标签.

I think you can plot this with multiple axes, the lines are in the first axe, and other axes only shows ticklabels.

import numpy as np
import pylab as pl

class Radar(object):

    def __init__(self, fig, titles, labels, rect=None):
        if rect is None:
            rect = [0.05, 0.05, 0.95, 0.95]

        self.n = len(titles)
        self.angles = np.arange(90, 90+360, 360.0/self.n)
        self.axes = [fig.add_axes(rect, projection="polar", label="axes%d" % i) 
                         for i in range(self.n)]

        self.ax = self.axes[0]
        self.ax.set_thetagrids(self.angles, labels=titles, fontsize=14)

        for ax in self.axes[1:]:
            ax.patch.set_visible(False)
            ax.grid("off")
            ax.xaxis.set_visible(False)

        for ax, angle, label in zip(self.axes, self.angles, labels):
            ax.set_rgrids(range(1, 6), angle=angle, labels=label)
            ax.spines["polar"].set_visible(False)
            ax.set_ylim(0, 5)

    def plot(self, values, *args, **kw):
        angle = np.deg2rad(np.r_[self.angles, self.angles[0]])
        values = np.r_[values, values[0]]
        self.ax.plot(angle, values, *args, **kw)



fig = pl.figure(figsize=(6, 6))

titles = list("ABCDE")

labels = [
    list("abcde"), list("12345"), list("uvwxy"), 
    ["one", "two", "three", "four", "five"],
    list("jklmn")
]

radar = Radar(fig, titles, labels)
radar.plot([1, 3, 2, 5, 4],  "-", lw=2, color="b", alpha=0.4, label="first")
radar.plot([2.3, 2, 3, 3, 2],"-", lw=2, color="r", alpha=0.4, label="second")
radar.plot([3, 4, 3, 4, 2], "-", lw=2, color="g", alpha=0.4, label="third")
radar.ax.legend()

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