使用astype实现dataframe字段类型转换
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# -*- 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：
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col1 objectcol2 objectdtype: object-----------col1 objectcol2 int32dtype: object-----------col1 objectcol2 float64dtype: object |
注：data type list
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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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原文链接：https://blog.csdn.net/chinacmt/article/details/52230339
