高维数据可视化

import pandas as pd
import matplotlib.pyplot as plt
data = pd.read_csv('iris.csv')
data.head()

	Sepal.Length	Sepal.Width	Petal.Length	Petal.Width	Species
0	5.1	3.5	1.4	0.2	setosa
1	4.9	3.0	1.4	0.2	setosa
2	4.7	3.2	1.3	0.2	setosa
3	4.6	3.1	1.5	0.2	setosa
4	5.0	3.6	1.4	0.2	setosa

from pandas.tools.plotting import andrews_curves
plt.figure()
andrews_curves(data,'Species')

C:\Anaconda\lib\site-packages\ipykernel_launcher.py:3: FutureWarning: 'pandas.tools.plotting.andrews_curves' is deprecated, import 'pandas.plotting.andrews_curves' instead.
  This is separate from the ipykernel package so we can avoid doing imports until





<matplotlib.axes._subplots.AxesSubplot at 0x194bc953a20>

from pandas.tools.plotting import parallel_coordinates
plt.figure()
parallel_coordinates(data,'Species')

C:\Anaconda\lib\site-packages\ipykernel_launcher.py:3: FutureWarning: 'pandas.tools.plotting.parallel_coordinates' is deprecated, import 'pandas.plotting.parallel_coordinates' instead.
  This is separate from the ipykernel package so we can avoid doing imports until





<matplotlib.axes._subplots.AxesSubplot at 0x194bcb53518>

from pandas.tools.plotting import radviz
plt.figure()
radviz(data, 'Species')

C:\Anaconda\lib\site-packages\ipykernel_launcher.py:3: FutureWarning: 'pandas.tools.plotting.radviz' is deprecated, import 'pandas.plotting.radviz' instead.
  This is separate from the ipykernel package so we can avoid doing imports until





<matplotlib.axes._subplots.AxesSubplot at 0x21ead4859b0>