[1146]python函数之iterrows(), iteritems(), itertuples()对dataframe进行遍历

import pandas as pd
 
inp = [{'c1':10, 'c2':100}, {'c1':11, 'c2':110}, {'c1':12, 'c2':123}]
df = pd.DataFrame(inp)
 
print(df)

# 输出
   c1   c2
0  10  100
1  11  110
2  12  123

for date, row in df.iterrows():
    print(date)

0
1
2

for date, row in df.iterrows():
    print(row)

c1     10
c2    100
Name: 0, dtype: int64
c1     11
c2    110
Name: 1, dtype: int64
c1     12
c2    123
Name: 2, dtype: int64

for date, row in df.iterrows():
    print(row['c1'], row['c2'])

10 100
11 110
12 123

for date, row in df.iteritems():
    print(date)

c1
c2

for date, row in df.iteritems():
    print(row)

0    10
1    11
2    12
Name: c1, dtype: int64
0    100
1    110
2    123
Name: c2, dtype: int64

for date, row in df.iteritems():
    print(row[0], row[1], row[2])

10 11 12
100 110 123

for row in df.itertuples():
　print(row)

Pandas(Index=0, c1=10, c2=100)
Pandas(Index=1, c1=11, c2=110)
Pandas(Index=2, c1=12, c2=123)

for row in df.itertuples():
    print(getattr(row, 'c1'), getattr(row, 'c2'))

10 100
11 110
12 123