快速入门Python机器学习（三）

# coding:utf-8
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt #pip3 install matplotlib
import seaborn as sns #pip3 install seaborn

def broken_line():
    s = pd.Series(np.random.randn(20).cumsum())
    s.plot(style='o-',xlim=[0,22],grid=True)
    plt.show()
    df = pd.DataFrame(np.random.randn(10,3).cumsum(0),
        columns = ['A','B','C'],
        index = np.arange(0,100,10))
    df.plot()
    plt.show()

def Histogram():
    flag,axes = plt.subplots(2,1)
    s = pd.Series(np.random.randn(10),index=list('ABCDEFGHIJ'))
    s.plot.bar(ax=axes[0])#纵向柱状图
    s.plot.barh(ax=axes[1])#横向柱状图
    plt.show()
    flag,axes = plt.subplots(2,1)
    df = pd.DataFrame(np.random.randn(6,3),
         index = list('abcdef'),
         columns = list('ABC'))                     
    df.plot.bar(ax=axes[0])
    df.plot.barh(ax=axes[1],stacked=True)#stacked=True表示生成堆积柱状图
    plt.show()

def density_map():
    flag,axes = plt.subplots(2,1)
    s = pd.Series(np.random.randn(100))
    s.plot.hist(ax=axes[0])#直方图
    s.plot.density(ax=axes[1])#密度图,C:\Users\xiang>pip3 install scipy
    plt.show()
    s = pd.Series(np.random.normal(0,1,100))
    sns.distplot(s,color='g')
    plt.show()

def scatter_diagram():
    df = pd.DataFrame(np.random.randn(100,3),
       columns = list('ABC'))
    sns.regplot('A','B',data=df) #散点图
    plt.show()
    sns.pairplot(df,diag_kind='kde')#散布图
    plt.show()