在 Pandas 的整数数据框中使用 DataFrame.at

Question

我有以下DataFrame由整数值组成的内容：df = pd.DataFrame(data=1, columns=['a','b'], index=[1,2,3])   a  b1  1  12  1  13  1  1我想在单个单元格上设置缺失值，当我尝试时：df.at[1,'a'] = np.nan然后我得到这个异常：Traceback (most recent call last):  File "<input>", line 1, in <module>  File "pandas/core/indexing.py", line 2159, in __setitem__    self.obj._set_value(*key, takeable=self._takeable)  File "pandas/core/frame.py", line 2582, in _set_value    engine.set_value(series._values, index, value)  File "pandas/_libs/index.pyx", line 124, in pandas._libs.index.IndexEngine.set_value  File "pandas/_libs/index.pyx", line 133, in pandas._libs.index.IndexEngine.set_value  File "pandas/_libs/index.pyx", line 570, in pandas._libs.index.convert_scalarValueError: Cannot assign nan to integer series