ValueError:'对象对于所需数组而言太深' [英] ValueError: 'object too deep for desired array'

问题描述

我有一个ValueError:Python程序中对象太深，无法放入所需的数组". 使用numpy.digitize时出现此错误.
我认为这就是我使用Pandas DataFrames的方式:
为了简单起见(因为这是通过外部库完成的)，我的程序中有一个列表，但是该库需要一个DataFrame，所以我要执行以下操作:

I have a ValueError: 'object too deep for desired array' in a Python program. I have this error while using numpy.digitize.
I think it's how I use Pandas DataFrames:
To keep it simple (because this is done through an external library), I have a list in my program but the library needs a DataFrame so I do something like this:

ts = range(1000)
df = pandas.DataFrame(ts)
res = numpy.digitize(df.values, bins)

但是然后看来df.values是一个列表数组，而不是一个浮点数数组.我的意思是:

But then it seems like df.values is an array of lists instead of an array of floats. I mean:

array([[   0],
   [   1],
   [   2],
   ..., 
   [997],
   [998],
   [999]], dtype=int64)

请帮助，我花了太多时间.

Help please, I spent too much time on this.

推荐答案

尝试一下:

numpy.digitize(df.iloc[:, 0], bins)

您正在尝试从整个DataFrame中获取值.这就是为什么要获得2D阵列的原因.数组中的每一行都是DataFrame的一行.

You are trying to get the values from a whole DataFrame. That is why you get the 2D array. Each row in the array is a row of the DataFrame.

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