matplotlib的坐标系的变换
- 在matplotlib绘图包中,有三种常用坐标系,直角坐标系(rectangular coordinates)、极坐标系(polar coordinates)和地理坐标系(geographic coordinates)。他们几乎可以满足所有数据可视化的需求。
1.直角坐标系
- 直角坐标系无需多言,可视化中经常绘制的条形图、散点图、气泡图就是直角坐标系。在这里主要说明matplotlib实现三维直角坐标系。
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d
import pandas as pd
import numpy as np
df = pd.read_csv(r'Data/绘图包对比数据.csv')
df.tail()
|
age |
tau |
Class |
SOD |
male |
328 |
0.987849 |
5.767258 |
Uncertain |
5.342334 |
1 |
329 |
0.986684 |
6.145622 |
Uncertain |
5.347108 |
0 |
330 |
0.988263 |
5.897676 |
Uncertain |
5.676754 |
1 |
331 |
0.984351 |
4.805741 |
Uncertain |
4.875197 |
1 |
332 |
0.986877 |
5.551835 |
Uncertain |
4.948760 |
0 |
fig = plt.figure()
ax = fig.gca(projection = '3d')
ax.view_init(elev = 45, azim = 10)