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使用astype实现dataframe字段类型转换
# -*- coding: UTF-8 -*-
import pandas as pd
df = pd.DataFrame([{'col1':'a', 'col2':'1'}, {'col1':'b', 'col2':'2'}])
print df.dtypes
df['col2'] = df['col2'].astype('int')
print '-----------'
print df.dtypes
df['col2'] = df['col2'].astype('float64')
print '-----------'
print df.dtypes
输出结果:
col1 object
col2 object
dtype: object
-----------
col1 object
col2 int32
dtype: object
-----------
col1 object
col2 float64
dtype: object
注:data type list
Data type Description
bool_ Boolean (True or False) stored as a byte
int_ Default integer type (same as C long; normally either int64 or int32)
intc Identic
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