df['NO2'][3]
就出現
TypeError Traceback (most recent call last)
<ipython-input-23-2f6f02ca9381> in <module>
----> 1 df['NO2'][3]
C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\frame.py in __getitem__(self, key)
2956 if self.columns.nlevels > 1:
2957 return self._getitem_multilevel(key)
-> 2958 return self._get_item_cache(key)
2959
2960 # Do we have a slicer (on rows)?
C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\generic.py in _get_item_cache(self, item)
3268 res = cache.get(item)
3269 if res is None:
-> 3270 values = self._data.get(item)
3271 res = self._box_item_values(item, values)
3272 cache[item] = res
C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\internals\managers.py in get(self, item)
958 raise ValueError("cannot label index with a null key")
959
--> 960 return self.iget(loc)
961 else:
962
C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\internals\managers.py in iget(self, i)
975 Otherwise return as a ndarray
976 """
--> 977 block = self.blocks[self._blknos[i]]
978 values = block.iget(self._blklocs[i])
979 if values.ndim != 1:
TypeError: only integer scalar arrays can be converted to a scalar index
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