python dataframe astype 字段类型转换方法

概述使用astype实现dataframe字段类型转换#-*-coding:UTF-8-*-importpandasaspddf=pd.DataFrame([{\'col1\':\'a\',\'col2\':\'1\'},{\'col1\':\'b\',\'col2\':\'2\'}])

使用astype实现dataframe字段类型转换

# -*- Coding: UTF-8 -*-import pandas as pddf = pd.DataFrame([{'col1':'a','col2':'1'},{'col1':'b','col2':'2'}])print df.dtypesdf['col2'] = df['col2'].astype('int')print '-----------'print df.dtypesdf['col2'] = df['col2'].astype('float64')print '-----------'print df.dtypes

输出结果：

col1  objectcol2  objectdtype: object-----------col1  objectcol2   int32dtype: object-----------col1   objectcol2  float64dtype: object

注：data type List

Data type  Descriptionbool_  Boolean (True or False) stored as a byteint_  Default integer type (same as C long; normally either int64 or int32)intc  IDentical to C int (normally int32 or int64)intp  Integer used for indexing (same as C ssize_t; normally either int32 or int64)int8  Byte (-128 to 127)int16  Integer (-32768 to 32767)int32  Integer (-2147483648 to 2147483647)int64  Integer (-9223372036854775808 to 9223372036854775807)uint8  Unsigned integer (0 to 255)uint16 Unsigned integer (0 to 65535)uint32 Unsigned integer (0 to 4294967295)uint64 Unsigned integer (0 to 18446744073709551615)float_ Shorthand for float64.float16 Half precision float: sign bit,5 bits exponent,10 bits mantissafloat32 Single precision float: sign bit,8 bits exponent,23 bits mantissafloat64 Double precision float: sign bit,11 bits exponent,52 bits mantissacomplex_  Shorthand for complex128.complex64  Complex number,represented by two 32-bit floats (real and imaginary components)complex128 Complex number,represented by two 64-bit floats (real and imaginary components)

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