python. pandas(series,dataframe,index) method test

python. pandas(series,dataframe,index,reindex,csv file read and write) method test

import pandas as pd
import numpy as np

def testpandas():
        p = pd.Series([1,2,3,4,5],index =('a','b','c','d','e'))
        print(p)

        cities = {'bejing':5500,'shanghai':5999,'shezhen':6000,'suzhou':None}
        p2 = pd.Series(cities,name ='prices')
        print(p2[:-1])
        print('bejing' in p2)
        print(p2.get('bejing'))
        print(p2[p2 < 6000])
        print(p.mean())
        s = pd.Series(np.random.randn(5),index =[1,2,3,4,5])
        print(np.random.randn(5))

        le = p2 < 5600
        print(le)
        print(p2[le])
        print('---------------------------')
        p2['bejing']=7000
        print(p2/2)
        print(np.log(p2))
        print('---------------------------')
        com=p + p2
        print(com)
        print('---------------------------')

        data={'city':['bj','shenzhen','shanhai'],
                'year':[2011,2013,2014],
                'pop':[2100,2200,2430]}
        df = pd.DataFrame(data,columns=['year','city','pop'],index=['one','two','three'])
        print(df)
        print('---------------------------')
        df2=pd.DataFrame({'city':p2,'p1':p})
        print(df2)
        print('---------------------------')

        data2=[{'july':9999,'han':5000,'zewei':1000},{'july':9999,'han':5000,'zewei':1000},{'july':9999,'han':5000,'zewe2i':1000}]
        df3=pd.DataFrame(data2)
        print(df3)
        print(df3.loc[[1,2]])
        print(df3['han'])
        print('---------------------------')
        print(df3.iloc[0:2])
        print('---------------------------')
        df3.loc[1]=9000
        df3['han']=9000
        print(df3)
        print(df3.shape[1])
        print(df3.columns)
        print('---------------------------')
        print(df3.info())
        df3.index.name='city'
        df3.columns.name='info'
        print('---------------------------')
        print(df3)
        row =df3.loc[0]
        print(row)

        print(df3.sub(row,axis=1))
        print('---------------------------')
        col=df3['july']
        print(col)
        print(df3.sub(col,axis=0))
        print('---------------------------')
        index=pd.Index(['shanghai','guangzhou','shenzheng'])
        print(index)
        obj = pd.Series(range(3),index=['a','b','c'])
        obj_index=obj.index
        print(obj_index[1:])

        print(df3.drop([0,1]))
        print(df3)

        print(df3)

#read and write csv of pandas
goog =pd.read_csv(r'C:pythondemoLiaoXueFengdata	est_vrt.csv',index_col=0)
goog=goog.reindex(pd.to_datetime(goog.index))
print(goog.head())
print(goog.tail())
data2 = [{'july': 9999, 'han': 5000, 'zewei': 1000}, {'july': 9999, 'han': 5000, 'zewei': 1000},
         {'july': 9999, 'han': 5000, 'zewe2i': 1000}]
df3 = pd.DataFrame(data2)
df3.to_csv(r'C:pythondemoLiaoXueFengdatagoog2.csv',encoding='GBK',mode='a')