将具有不同长度的列表作为新列添加到数据框 [英] Adding list with different length as a new column to a dataframe

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问题描述

我愿意在数据框中添加或插入列表值.数据帧len为49,而列表ID为47的长度.实施代码时出现以下错误.

I am willing to add or insert the list values in the dataframe. The dataframe len is 49, whereas the length of list id 47. I am getting the following error while implementing the code.

print("Lenght of dataframe: ",datasetTest.open.count())
print("Lenght of array: ",len(test_pred_list))
datasetTest['predict_close'] = test_pred_list

错误是:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-105-68114a4e9a82> in <module>()
      5 # datasetTest = datasetTest.dropna()
      6 # print(datasetTest.count())
----> 7 datasetTest['predict_close'] = test_pred_list
      8 # test_shifted['color_predicted'] = test_shifted.apply(determinePredictedcolor, axis=1)
      9 # test_shifted['color_original'] =

c:\python35\lib\site-packages\pandas\core\frame.py in __setitem__(self, key, value)
   2517         else:
   2518             # set column
-> 2519             self._set_item(key, value)
   2520 
   2521     def _setitem_slice(self, key, value):

c:\python35\lib\site-packages\pandas\core\frame.py in _set_item(self, key, value)
   2583 
   2584         self._ensure_valid_index(value)
-> 2585         value = self._sanitize_column(key, value)
   2586         NDFrame._set_item(self, key, value)
   2587 

c:\python35\lib\site-packages\pandas\core\frame.py in _sanitize_column(self, key, value, broadcast)
   2758 
   2759             # turn me into an ndarray
-> 2760             value = _sanitize_index(value, self.index, copy=False)
   2761             if not isinstance(value, (np.ndarray, Index)):
   2762                 if isinstance(value, list) and len(value) > 0:

c:\python35\lib\site-packages\pandas\core\series.py in _sanitize_index(data, index, copy)
   3119 
   3120     if len(data) != len(index):
-> 3121         raise ValueError('Length of values does not match length of ' 'index')
   3122 
   3123     if isinstance(data, PeriodIndex):

ValueError: Length of values does not match length of index

如何摆脱这个错误.请帮助我.

How I can get rid of this error. Please help me.

推荐答案

如果将列表转换为Series,那么它将正常工作:

If you convert the list to a Series then it will just work:

datasetTest.loc[:,'predict_close'] = pd.Series(test_pred_list)

示例:

In[121]:
df = pd.DataFrame({'a':np.arange(3)})
df

Out[121]: 
   a
0  0
1  1
2  2

In[122]:
df.loc[:,'b'] = pd.Series(['a','b'])
df

Out[122]: 
   a    b
0  0    a
1  1    b
2  2  NaN

文档将其称为通过放大设置讨论添加或扩展,但也可以在长度小于预先存在的索引的情况下使用.

The docs refer to this as setting with enlargement which talks about adding or expanding but it also works where the length is less than the pre-existing index.

要处理索引不是从0开始还是实际上不是int的地方:

To handle where the index doesn't start at 0 or in fact is not an int:

In[126]:
df = pd.DataFrame({'a':np.arange(3)}, index=np.arange(3,6))
df

Out[126]: 
   a
3  0
4  1
5  2

In[127]:
s = pd.Series(['a','b'])
s.index = df.index[:len(s)]
s

Out[127]: 
3    a
4    b
dtype: object

In[128]:
df.loc[:,'b'] = s
df

Out[128]: 
   a    b
3  0    a
4  1    b
5  2  NaN

如果希望致电fillna

这篇关于将具有不同长度的列表作为新列添加到数据框的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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