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pandas怎样对数据进行遍历

2016-01-29 10:47 211 查看
pandas.DataFrame.iterrows

DataFrame.iterrows()

迭代(iterate)覆盖整个DataFrame的行中,返回(index, Series)对。

import numpy as np
import pandas as pd

def _map(data, exp):
for index, row in data.iterrows():   # 获取每行的index、row
for col_name in data.columns:
row[col_name] = exp(row[col_name]) # 把结果返回给data
return data

def _1map(data, exp):
_data = [[exp(row[col_name])               # 把结果转换成2级list
for col_name in data.columns]
for index, row in data.iterrows()
]
return _data

if __name__ == "__main__":
inp = [{'c1':10, 'c2':100}, {'c1':11,'c2':110}, {'c1':12,'c2':120}]
df = pd.DataFrame(inp)
temp = _map(df, lambda ele: ele+1 )
print temp

_temp = _1map(df, lambda ele: ele+1)
res_data = pd.DataFrame(_temp)         # 对2级list转换成DataFrame
print res_data
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