numpy用复数读取.csv [英] numpy read .csv with complex number

问题描述

stackoverflow，

stackoverflow,

我有一个包含复数的矩阵（例如-2.2982235934153075E-11 + 2.1179547211742553E-9i），我需要导入到numpy数组。我一直使用 genfromtext（file）来解析所有我的其他真实值，但我得到一个 nan 为所有复数值。有任何想法吗？

I have a matrix containing complex numbers (ex. -2.2982235934153075E-11+2.1179547211742553E-9i) that I need to import to a numpy array. I've been using genfromtext(file) to parse all my other, real values, but I'm getting a nan for all complex values. Any ideas?

self.raw = (genfromtxt(self.loc, delimiter=',', skip_header=9, dtype=float))
[m,n] = shape(self.raw)
data = zeros((m, n-3))
data[:, :] = self.raw[:, 3::]

返回：

data = array([nan, nan, nan, ...])

推荐答案

我最终必须这样做的方式是首先 replace（'i'，'j'）单元格，并保存新的，已更正的文件。之后，用 dtype = str 读取.csv会在后续计算中导致错误，但结果是您可以使用 dtype = complex128 ，这解决了我所有的问题。感谢您对Saullo-Castro

The way I ended up having to do this was to first replace('i', 'j') for all cells in the original .csv file and save the new, corrected file. Afterwards, reading the .csv with dtype=str caused errors in subsequent calculations, but it turns out you can parse the .csv with dtype=complex128, which solved all my problems. Thanks for the help on the conversion @Saullo-Castro

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