import matplotlib.pyplot as plt
plt.rcParams["font.family"] = 'Arial Unicode MS'

import matplotlib
a=sorted([f.name for f in matplotlib.font_manager.fontManager.ttflist])
 
for i in a:
 print i

#保证中文正常使用
from sklearn.datasets import make_blobs, load_iris
import matplotlib.pyplot as plt


# 支持中文
plt.rcParams['font.sans-serif'] = ['Arial Black'] # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号

n_samples = 1000
random_state = 37 #随机分割测试集和训练集

x, y = make_blobs(n_samples=n_samples, random_state=random_state)
# x, y = load_iris(True) # 莺尾花
print(x.shape, y.shape)
plt.scatter(x[:, 0], x[:, 1], c=y)
plt.title(u"原始数据分布")
plt.xlabel(u"长度")
plt.ylabel(u"宽度")
plt.show()

import maplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['SimHei'] # 显示中文不乱码
plt.rcParams['axes.unicode_minus'] = False # 显示负数不乱码

#! /usr/bin/env python
# -*- coding: utf-8 -*-
from matplotlib.font_manager import FontManager
import subprocess

fm = FontManager()
mat_fonts = set(f.name for f in fm.ttflist)
#print(mat_fonts)
output = subprocess.check_output('fc-list :lang=zh -f "%{family}\n"', shell=True)
#print( '*' * 10, '系统可用的中文字体', '*' * 10)
#print (output)
zh_fonts = set(f.split(',', 1)[0] for f in output.decode('utf-8').split('\n'))
available = mat_fonts & zh_fonts
print ('*' * 10, '可用的字体', '*' * 10)
for f in available:
  print (f)