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利用 Python 进行数据分析:原书第 3 版
book

利用 Python 进行数据分析:原书第 3 版

by Wes McKinney
November 2023
Intermediate to advanced
512 pages
11h 53m
Chinese
China Machine Press
Content preview from 利用 Python 进行数据分析:原书第 3 版
216
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7
本书时相对完整的扩展类型。
7-3pandas 的扩展数据类型
扩展类型 说明
BooleanDtype
可为空的布尔数据
作为字符串传递时使用
boolean
CategoricalDtype
分类数据类型
作为字符串传递时使用
category
DatetimeTZDtype
带有时区的 Datetime 对象
Float32Dtype
32 位可为空的浮点类型
作为字符串传递时使用
Float32
Float64Dtype
64 位可为空的浮点类型
作为字符串传递时使用
Float64
Int8Dtype
8 位可为空的有符号整数类型
作为字符串传递时使用
Int8
Int16Dtype
16 位可为空的有符号整数类型
作为字符串传递时使用
Int16
Int32Dtype
32 位可为空的有符号整数类型
作为字符串传递时使用
Int32
Int64Dtype
64 位可为空的有符号整数类型
作为字符串传递时使用
Int64
UInt8Dtype
8 位可为空的无符号整数类型
作为字符串传递时使用
UInt8
UInt16Dtype
16 位可为空的无符号整数类型
作为字符串传递时使用
UInt16
UInt32Dtype
32 位可为空的无符号整数类型
作为字符串传递时使用
UInt32
UInt64Dtype
64 位可为空的无符号整数类型
作为字符串传递时使用
UInt64
7.4
字符串操作
Python
能够成为流行的原生数据处理语言,部分原因是其具备简单易用的字符串和文本 ...
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Publisher Resources

ISBN: 9787111726722