[reshape, values.reashape] 시리즈를 2차원으로 차원변경할때 주의할점.

오류해결) X와 y의 차원이 같지 않으면 피처스케일링 학습시에 오류가 생긴다.

 

X.shape

(500, 5)

y.shape

(500,)

 

y

0      35321.45877
1      45115.52566
2      42925.70921
3      67422.36313
4      55915.46248
          ...     
495    48901.44342
496    31491.41457
497    64147.28888
498    45442.15353
499    45107.22566
Name: Car Purchase Amount, Length: 500, dtype: float64

 

y.values

array([35321.45877, 45115.52566, 42925.70921, 67422.36313, 55915.46248,
       56611.99784, 28925.70549, 47434.98265, 48013.6141 , 38189.50601,
       59045.51309, 42288.81046, 28700.0334 , 49258.87571, 49510.03356,
       53017.26723, 41814.72067, 43901.71244, 44633.99241, 54827.52403,
       51130.95379, 43402.31525, 47240.86004, 46635.49432, 45078.40193,
       44387.58412, 37161.55393, 49091.97185, 58350.31809, 43994.35972,
       17584.56963, 44650.36073, 66363.89316, 53489.46214, 39810.34817,
       51612.14311, 38978.67458, 10092.22509, 35928.52404, 54823.19221,
       45805.67186, 41567.47033, 28031.20985, 27815.73813, 68678.4352 ,

(...이하생략)

 

y.reshape(500, 1)

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-72-04cc810c89b4> in <module>
----> 1 y.reshape(500, 1)

~\anaconda3\lib\site-packages\pandas\core\generic.py in __getattr__(self, name)
   5463             if self._info_axis._can_hold_identifiers_and_holds_name(name):
   5464                 return self[name]
-> 5465             return object.__getattribute__(self, name)
   5466 
   5467     def __setattr__(self, name: str, value) -> None:

AttributeError: 'Series' object has no attribute 'reshape'

 

y.values.reshape(500,1)

array([[35321.45877],
       [45115.52566],
       [42925.70921],
       [67422.36313],
       [55915.46248],
       [56611.99784],
       [28925.70549],
       [47434.98265],
       [48013.6141 ],
       [38189.50601],
       [59045.51309],
       [42288.81046],
       [28700.0334 ],
       [49258.87571],
       [49510.03356],
       [53017.26723],
       [41814.72067],
       [43901.71244],

(...이하생략)