将2D numpy数组转换为数据框行 [英] Converting a 2D numpy array to dataframe rows

问题描述

我有一个列表列表，我想将其作为一行.我最近得到的就是使用此帖子.但是，我找不到答案.

I have a list of list that I would like to make it as a row. The closest I got was using this post. However, I could not get my answer.

例如，假设我有一个testarray值，

For example lets say I have a testarray of values,

([[ 26.85406494], 
   [ 27.85406494],
   [ 28.85406494],
   [ 29.85406494],
   [ 30.85406494],
   [ 31.85406494],
   [ 32.85406494],
   [ 33.85406494],
   [ 34.85406494],
   [ 35.85406494],
   [ 36.85406494],
   [ 37.85406494],
   [ 38.85406494],
   [ 39.85406494],
   [ 40.85406494],
   [ 41.85406494]])

我需要像这样的pandas DataFrame行，

I need like as a pandas DataFrame row like this,

  Row_value
0 26.85406494
1 27.85406494
2 29.85406494
...

我尝试了以下方法，

df = pd.DataFrame({'Row_value':testarray})

我得到一个错误，

ValueError:如果使用所有标量值，则必须传递索引

ValueError: If using all scalar values, you must pass an index

如何通过索引传递这些值?

How can I pass those values with an index?

推荐答案

仅将DataFrame构造函数与参数列一起使用:

Use DataFrame constructor only with parameter columns:

df = pd.DataFrame(a, columns=['a'])
print (df)
            a
0   26.854065
1   27.854065
2   28.854065
3   29.854065
4   30.854065
5   31.854065
6   32.854065
7   33.854065
8   34.854065
9   35.854065
10  36.854065
11  37.854065
12  38.854065
13  39.854065
14  40.854065
15  41.854065

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