pandasIndexobjects support duplicate values. If a non-unique index is used as the group key in a groupby operation, all values for the same index value will be considered to be in one group and thus the output of aggregation functions will only contain unique index values: In [15]: lst ...
I know it is not a problem per se but I think there should be some pandas built in solution for this problem, as no simple function exists for this. It is largely discussed here with various ideas (https://stackoverflow.com/questions/12680754/split-pandas-dataframe-string-entry-to-separate...
SELECT value FROM YourTable CROSS APPLY STRING_SPLIT(YourColumn, ','); SQL Copy例如,假设我们有一个名为Employees的表,其中的Skills一列包含了以逗号分隔的多个技能。要将每个技能拆分为新的行,我们可以使用下面的SQL语句:SELECT value AS Skill FROM Employees CROSS APPLY STRING_SPLIT(Sk...