python 雷达教程 chart/plot

Tutorial for python radar chart/plot

我想在 python 中绘制雷达图,但我不知道该怎么做。我在网上看了一些教程,大部分都非常复杂(绘制多边形,计算放置点,...)。

所以我想知道是否有人有关于它的 "simple" 教程。我不想做一些非常不平凡的事情,只是简单。另外,如果有一个 python 库可以做到这一点。我看的所有教程都是用的matplotlib,但是挺难的。我也找到了库 "pychardir" 但我无法安装它。

首先应该从 matplotlib 站点上的这个示例开始:pie_and_polar_charts example code: polar_bar_demo.py

如果您仍有疑问,可以随时回来。同意:使用 Python 或 matplotlib 的好的雷达图示例很难找到。

这是我的 运行

# Plots a radar chart.

from math import pi
import matplotlib.pyplot as plt


# Set data
cat = ['Speed', 'Reliability', 'Comfort', 'Safety', 'Effieciency']
values = [90, 60, 65, 70, 40]

N = len(cat)

x_as = [n / float(N) * 2 * pi for n in range(N)]

# Because our chart will be circular we need to append a copy of the first 
# value of each list at the end of each list with data
values += values[:1]
x_as += x_as[:1]


# Set color of axes
plt.rc('axes', linewidth=0.5, edgecolor="#888888")


# Create polar plot
ax = plt.subplot(111, polar=True)


# Set clockwise rotation. That is:
ax.set_theta_offset(pi / 2)
ax.set_theta_direction(-1)


# Set position of y-labels
ax.set_rlabel_position(0)


# Set color and linestyle of grid
ax.xaxis.grid(True, color="#888888", linestyle='solid', linewidth=0.5)
ax.yaxis.grid(True, color="#888888", linestyle='solid', linewidth=0.5)


# Set number of radial axes and remove labels
plt.xticks(x_as[:-1], [])

# Set yticks
plt.yticks([20, 40, 60, 80, 100], ["20", "40", "60", "80", "100"])


# Plot data
ax.plot(x_as, values, linewidth=0, linestyle='solid', zorder=3)

# Fill area
ax.fill(x_as, values, 'b', alpha=0.3)


# Set axes limits
plt.ylim(0, 100)


# Draw ytick labels to make sure they fit properly
for i in range(N):
    angle_rad = i / float(N) * 2 * pi

    if angle_rad == 0:
        ha, distance_ax = "center", 10
    elif 0 < angle_rad < pi:
        ha, distance_ax = "left", 1
    elif angle_rad == pi:
        ha, distance_ax = "center", 1
    else:
        ha, distance_ax = "right", 1

    ax.text(angle_rad, 100 + distance_ax, cat[i], size=10, horizontalalignment=ha, verticalalignment="center")


# Show polar plot
plt.show()