Question

pd.DataFrame([[12.794, 13.8],
              [10.344, 13.356],
              [10.521, 11.235],
              [10.944, 14.978],
              [10.374, 10.73]],
             columns =['D6:4B:4C:E4:AE:29',
                       'ED:80:60:21:F4:ED',
                       'D1:7C:82:85:52:50',
                       'EA:CC:3B:08:72:06',
                       'C8:8F:56:44:4C:72'])

返回：

Traceback (most recent call last):
  File "C:\", line 3, in Exec
    exec(exp, global_vars, local_vars)
  File "<input>", line 1, in <module>
  File "C:\", line 369, in __init__
    arrays, columns = _to_arrays(data, columns, dtype=dtype)
  File "C:\", line 6284, in _to_arrays
    dtype=dtype)
  File "C:\", line 6363, in _list_to_arrays
    coerce_float=coerce_float)
  File "C:\", line 6420, in _convert_object_array
    'columns' % (len(columns), len(content)))
AssertionError: 5 columns passed, passed data had 2 columns

我有5列5行... 我尝试了3列和3行，并且有效。

请，我想澄清一下。谢谢！

Answer 1

我认为您正在寻找这个

d = np.array([[12.794, 13.8], [10.344, 13.356], [10.521, 11.235], [10.944, 14.978], [10.374, 10.73]])
columns =['D6:4B:4C:E4:AE:29', 'ED:80:60:21:F4:ED', 'D1:7C:82:85:52:50', 'EA:CC:3B:08:72:06', 'C8:8F:56:44:4C:72']
pd.DataFrame(dict(zip(columns, d)))

O / P：

  C8:8F:56:44:4C:72  D1:7C:82:85:52:50  D6:4B:4C:E4:AE:29  EA:CC:3B:08:72:06  \
0             10.374             10.521             12.794             10.944   
1             10.730             11.235             13.800             14.978   

   ED:80:60:21:F4:ED  
0             10.344  
1             13.356

说明：

zip values和header的内容并转换为zip。然后将此内容传递给DataFrame。

Answer 2

您的数据结构形状不正确。您要输入5行和2列。我相信您希望2行5列。

arr=np.array([[12.794, 13.8], [10.344, 13.356], [10.521, 11.235], [10.944, 14.978], [10.374, 10.73]])
pd.DataFrame(np.reshape(np.array(arr),(2,5)),columns =['D6:4B:4C:E4:AE:29', 'ED:80:60:21:F4:ED', 'D1:7C:82:85:52:50', 'EA:CC:3B:08:72:06', 'C8:8F:56:44:4C:72'])

错误：传递了5列，传递的数据有2列，但是尺寸没有错

2 个答案: