遍历数据框

iterrows():将DataFrame迭代为(insex, Series)对。

itertuples(): 将DataFrame迭代为元祖。

iteritems():将DataFrame迭代为(列名, Series)对。

现有如下DataFrame数据：

import pandas as pd

inp= [{'c1':10,'c2':100}, {'c1':11,'c2':110}, {'c1':12,'c2':123}]

df =pd.DataFrame(inp)

print(df)

iterrows():

for date, row in df.iterrows():

    print(date)

0

1

2

for date, row in df.iterrows():

    print(row)

# 对于每一行，通过列名访问对应的元素

    for date, row in df.iterrows():

            print(row['c1'], row['c2'])

iteritems():

for date, row in df.iteritems():

    print(date)

for date, row in df.iteritems():

    print(row)

for date, row in df.iteritems():

    print(row[0], row[1], row[2])

itertuples():

for row in df.itertuples():

　　print(row)

for row in df.itertuples():

    print(getattr(row,'c1'), getattr(row,'c2'))