In Pandas, After dropping NaN values from a column, what’s the value stored at the index where the NaN value was removed? I was able to successfully drop NaN values from a column but the shape of the df is intact, yet the size of that particular column changed. 1445 70.0 **1446 NaN** 1447 80.0 […]

- Tags After dropping NaN values from a column, dtype: float64 New size of LotFrontage after removing NaN values: 1201 I get the following error when trying to allocate the value of index, dtype: float64 Size of LotFrontage before removing NaN values: 1460 This is what I get after removing the NaN values 1444 63.0 1445 7, In Pandas, K, key) 4403 k = self._convert_scalar_indexer(k, kind="getitem") 4404 try: -> 4405 return self._engine.get_value(s, None)) 4406 except KeyError as e1: 4407 if len(self) > 0 and (self.holds_integer() or self.is_boolean()): pandas/_, series, tz, tz=getattr(series.dtype, what's the value stored at the index where the NaN value was removed? I was able to successfully drop NaN values from a column but the shape, yet the size of that particular column changed. 1445 70.0 **1446 NaN** 1447 80.0 1448 70.0 1449 21.0 1450 60.0 1451 78