如何在python中制作多边形雷达（蜘蛛）图

基本上我希望图表是五边形而不是圆形。有人能帮忙吗。我正在使用python matplotlib保存一个图像，该图像将在以后存储和显示。我希望我的图表具有第二张图片的形式

编辑：

从下面的答案中添加这段代码帮助很大。我得到这个图表。仍然需要弄清楚如何去掉最外层的环：

显示了如何制作雷达图。结果如下所示：

在这里，外部脊椎是所需的多边形形状。但是，内部网格线是圆形的。 因此，开放的问题是如何使网格线的形状与脊椎相同

这可以通过覆盖

draw

方法并将网格线的路径插值步长变量设置为

RadarAxes

类的变量数来实现

    gridlines = ax.yaxis.get_gridlines()
    for gl in gridlines:
        gl.get_path()._interpolation_steps = 5

完整示例：

gridlines = self.yaxis.get_gridlines()
for gl in gridlines:
    gl.get_path()._interpolation_steps = num_vars

---

虽然这并非不可能，但我不确定是否有一种简单的内置方法可以做到这一点。请参阅pyplot文档。我以前看过这个，但不知道如何实现它们的解决方案。如果显示的代码生成了所示的图像，那么问题到底是什么？“这到底有多远不是你想要的？”@ImportanceOfBeingErnest“基本上，我希望图表是五角大楼而不是圆。”。还有标题中的“多边形”。我相信问题很清楚，OP需要我链接的演示。不幸的是，我不能用matplotlib 3.3或更高版本复制这个。圆圈还在那里。还有其他方法吗？我如何旋转标签，以使

CO

（0度）替换

Sulfate

（90度）？演示和此代码为这一行

def fill（self，*args，closed=True，**kwargs）提供了语法错误：

（在python 2和3中）。我错过了什么？我怎么知道错过了什么？该示例可以正常工作。当您将最大网格值设置为0.8，并将数据中的最大值设置为0.8时，您可以看到该线没有在拐角处绘制。我怎样才能解决这个问题？不过，这似乎是matplotlib的事情……matplotlib默认使用5%的边距。如果需要，您可以更改，或者手动设置限制。

gridlines = self.yaxis.get_gridlines()
for gl in gridlines:
    gl.get_path()._interpolation_steps = num_vars

import numpy as np

import matplotlib.pyplot as plt
from matplotlib.patches import Circle, RegularPolygon
from matplotlib.path import Path
from matplotlib.projections.polar import PolarAxes
from matplotlib.projections import register_projection
from matplotlib.spines import Spine
from matplotlib.transforms import Affine2D


def radar_factory(num_vars, frame='circle'):
    """Create a radar chart with `num_vars` axes.

    This function creates a RadarAxes projection and registers it.

    Parameters
    ----------
    num_vars : int
        Number of variables for radar chart.
    frame : {'circle' | 'polygon'}
        Shape of frame surrounding axes.

    """
    # calculate evenly-spaced axis angles
    theta = np.linspace(0, 2*np.pi, num_vars, endpoint=False)

    class RadarAxes(PolarAxes):

        name = 'radar'

        def __init__(self, *args, **kwargs):
            super().__init__(*args, **kwargs)
            # rotate plot such that the first axis is at the top
            self.set_theta_zero_location('N')

        def fill(self, *args, closed=True, **kwargs):
            """Override fill so that line is closed by default"""
            return super().fill(closed=closed, *args, **kwargs)

        def plot(self, *args, **kwargs):
            """Override plot so that line is closed by default"""
            lines = super().plot(*args, **kwargs)
            for line in lines:
                self._close_line(line)

        def _close_line(self, line):
            x, y = line.get_data()
            # FIXME: markers at x[0], y[0] get doubled-up
            if x[0] != x[-1]:
                x = np.concatenate((x, [x[0]]))
                y = np.concatenate((y, [y[0]]))
                line.set_data(x, y)

        def set_varlabels(self, labels):
            self.set_thetagrids(np.degrees(theta), labels)

        def _gen_axes_patch(self):
            # The Axes patch must be centered at (0.5, 0.5) and of radius 0.5
            # in axes coordinates.
            if frame == 'circle':
                return Circle((0.5, 0.5), 0.5)
            elif frame == 'polygon':
                return RegularPolygon((0.5, 0.5), num_vars,
                                      radius=.5, edgecolor="k")
            else:
                raise ValueError("unknown value for 'frame': %s" % frame)

        def draw(self, renderer):
            """ Draw. If frame is polygon, make gridlines polygon-shaped """
            if frame == 'polygon':
                gridlines = self.yaxis.get_gridlines()
                for gl in gridlines:
                    gl.get_path()._interpolation_steps = num_vars
            super().draw(renderer)


        def _gen_axes_spines(self):
            if frame == 'circle':
                return super()._gen_axes_spines()
            elif frame == 'polygon':
                # spine_type must be 'left'/'right'/'top'/'bottom'/'circle'.
                spine = Spine(axes=self,
                              spine_type='circle',
                              path=Path.unit_regular_polygon(num_vars))
                # unit_regular_polygon gives a polygon of radius 1 centered at
                # (0, 0) but we want a polygon of radius 0.5 centered at (0.5,
                # 0.5) in axes coordinates.
                spine.set_transform(Affine2D().scale(.5).translate(.5, .5)
                                    + self.transAxes)


                return {'polar': spine}
            else:
                raise ValueError("unknown value for 'frame': %s" % frame)

    register_projection(RadarAxes)
    return theta


data = [['Sulfate', 'Nitrate', 'EC', 'OC1', 'OC2', 'OC3', 'OP', 'CO', 'O3'],
        ('Basecase', [
            [0.88, 0.01, 0.03, 0.03, 0.00, 0.06, 0.01, 0.00, 0.00],
            [0.07, 0.95, 0.04, 0.05, 0.00, 0.02, 0.01, 0.00, 0.00],
            [0.01, 0.02, 0.85, 0.19, 0.05, 0.10, 0.00, 0.00, 0.00],
            [0.02, 0.01, 0.07, 0.01, 0.21, 0.12, 0.98, 0.00, 0.00],
            [0.01, 0.01, 0.02, 0.71, 0.74, 0.70, 0.00, 0.00, 0.00]])]

N = len(data[0])
theta = radar_factory(N, frame='polygon')

spoke_labels = data.pop(0)
title, case_data = data[0]

fig, ax = plt.subplots(figsize=(6, 6), subplot_kw=dict(projection='radar'))
fig.subplots_adjust(top=0.85, bottom=0.05)

ax.set_rgrids([0.2, 0.4, 0.6, 0.8])
ax.set_title(title,  position=(0.5, 1.1), ha='center')

for d in case_data:
    line = ax.plot(theta, d)
    ax.fill(theta, d,  alpha=0.25)
ax.set_varlabels(spoke_labels)

plt.show()