如何将不同类型的数据从文件导入Python Numpy数组? [英] How do I import data with different types from file into a Python Numpy array?

问题描述

说我有一个文件myfile.txt，其中包含:

Say I have a file myfile.txt containing:

1   2.0000  buckle_my_shoe
3   4.0000  margery_door

如何将文件中的数据作为int，float和string导入到numpy数组中?

我的目标是:

array([[1,2.0000,"buckle_my_shoe"],
[3,4.0000,"margery_door"]])

我一直在玩以下游戏，但无济于事:

I've been playing around with the following to no avail:

a = numpy.loadtxt('myfile.txt',dtype=(numpy.int_,numpy.float_,numpy.string_))

另一种方法可能是使用ndarray类型，然后进行转换.

Another approach might be to use the ndarray type and convert afterwards.

b = numpy.loadtxt('myfile.txt',dtype=numpy.ndarray)

    array([['1', '2.0000', 'buckle_my_shoe'],
       ['3', '4.0000', 'margery_door']], dtype=object)

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