Python 如何将数组从.txt文件导入numpy数组？

如果这是super noob，我深表歉意，但我已经尝试在StackOverflow上搜索过了，当已经存在“[”或“[[”字符时，找不到如何将数组从文本文件导入numpy数组

上下文：我将系统日志输出保存到一个文本文件中，并尝试使用np.genfromtxt（）和np.loadtxt（）。此外，数组实际上是高度结构化的，（它们总是10列，但我的结果文本文件将一行10列拆分为一行（比如6列）和另一行4列。我想知道是否已经有一种内置方法可以读取这些数据，而不必在“[”处声明“开始新行”，在“]”处声明“结束行”）

[-3.81266403e-07-2.30981200e-07-7.07703123e-08-9.66262661e-08 -3.73168461e-07-2.65608435e-07-2.38021940e-07 3.23960222e-07

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-1.73911175e-07-4.02730223e-07]

这些读卡器使用的是由一些定义良好的分隔符分隔的

csv

-数字列。像这样的外来字符[]会使简单的读取变得混乱。感谢您的快速响应！但是，它返回一个错误：SyntaxError:无效语法“并且只指向整个文本块。@CodeinCafes抱歉：（谢谢！它仍然失败，但我意识到发生了什么。我在每行的第一个元素前面都有空格。我删除了空格，从而呈现了数组。太感谢了！太棒了。只勾选了：-）需要获得更多的代表点数才能向上投票…再次感谢！！

from numpy import array   

with open("your_file.txt", "r") as myFile: ## Open (and close) your file

    arr = ""
    for line in myFile:
        arr += line.replace("\n", "") ## Replace each newline character in each line so that arr is just one long continuous string
    arr = " ".join(arr.split()) ## Replace multiple whitespace with single spaces
    arr = arr.replace(" ", ",") ## Replace the spaces with commas (so that it can be interpreted as a list
    arr = eval(arr) ## The text will now be stored as a list
    arr = array( arr ) ## Now it's a numpy array (hopefully)

from numpy import array   

with open("your_file.txt", "r") as myFile: ## Open (and close) your file

    arr = ""
    for line in myFile:
        arr += line.replace("\n", "") ## Replace each newline character in each line so that arr is just one long continuous string
    arr = " ".join(arr.split()) ## Replace multiple whitespace with single spaces
    arr = arr.replace(" ", ",") ## Replace the spaces with commas (so that it can be interpreted as a list
    arr = eval(arr) ## The text will now be stored as a list
    arr = array( arr ) ## Now it's a numpy array (hopefully)