带有NumPy的loadtxt()和genfromtxt的'dtype'可用的数据类型是什么? [英] What are the available datatypes for 'dtype' with NumPy's loadtxt() an genfromtxt?

问题描述

可用的 numpy.loadtxt 是什么，或者 numpy.genfromtxt ，用于导入具有不同数据类型的表格数据，以及可用的缩写形式(例如 i32 表示整数)?

What are the available numpy.loadtxt or numpy.genfromtxt for importing table data with varying datatypes, and what are the available abbreviations for the use (e.g. i32 for integer)?

这篇文章演示了用法的条件，我很好奇是否有人会详细阐述.

This post demonstrates the use of conditions, which I was curious if somebody might elaborate on.

推荐答案

除了np.sctypeDict，还有以下变量:

In [141]: np.typecodes
Out[141]: 
{'All': '?bhilqpBHILQPefdgFDGSUVOMm',
 'AllFloat': 'efdgFDG',
 'AllInteger': 'bBhHiIlLqQpP',
 'Character': 'c',
 'Complex': 'FDG',
 'Datetime': 'Mm',
 'Float': 'efdg',
 'Integer': 'bhilqp',
 'UnsignedInteger': 'BHILQP'}

In [143]: np.sctypes
Out[143]: 
{'complex': [numpy.complex64, numpy.complex128, numpy.complex192],
 'float': [numpy.float16, numpy.float32, numpy.float64, numpy.float96],
 'int': [numpy.int8, numpy.int16, numpy.int32, numpy.int32, numpy.int64],
 'others': [bool, object, str, unicode, numpy.void],
 'uint': [numpy.uint8, numpy.uint16, numpy.uint32, numpy.uint32, numpy.uint64]}

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