a = np.random.standard_normal((9,4))
dg = pd.DataFrame(a)
dg.columns = [["No1", "No2", "No3", "No4"]]
dg["No1"]
大家好。我一直在使用通过Anaconda Navigator打开的JupyterLab,并编写了上面的代码。前三行看起来很正常,但是对于第四行,我得到了如下错误。如果我将第四行更改为dg [[“ No1”]],则它“有效”。但是,在这种情况下,type(dg [[“ No1”]])实际上是数据帧,而不是序列。
我有点笨,我已经挠头了近两个小时,但仍然不明白这是怎么回事。有人可以帮忙吗?谢谢!!
TypeError Traceback (most recent call last)
<ipython-input-393-b26f43cf53bf> in <module>
----> 1 dg["No1"]
~\anaconda3\lib\site-packages\pandas\core\frame.py in __getitem__(self, key)
2774 if self.columns.nlevels > 1:
2775 return self._getitem_multilevel(key)
-> 2776 return self._get_item_cache(key)
2777
2778 # Do we have a slicer (on rows)?
~\anaconda3\lib\site-packages\pandas\core\generic.py in _get_item_cache(self, item)
3584 res = cache.get(item)
3585 if res is None:
-> 3586 values = self._data.get(item)
3587 res = self._box_item_values(item, values)
3588 cache[item] = res
~\anaconda3\lib\site-packages\pandas\core\internals\managers.py in get(self, item)
966 raise ValueError("cannot label index with a null key")
967
--> 968 return self.iget(loc)
969 else:
970
~\anaconda3\lib\site-packages\pandas\core\internals\managers.py in iget(self, i)
983 Otherwise return as a ndarray
984 """
--> 985 block = self.blocks[self._blknos[i]]
986 values = block.iget(self._blklocs[i])
987
TypeError: only integer scalar arrays can be converted to a scalar index
a = np.random.standard_normal((9,4))dg = pd.DataFrame(a)dg.columns = [[“” No1“,” No2“,” No3“,” No4“]] dg [” No1“]大家好。我一直在使用通过Anaconda Navigator打开的JupyterLab,并且写了...
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