pandas drop index level
df.reset_index(level=2, drop=True) Out[29]: A 1 1 8 3 9 ... You can also specify negative indices, for selection from the end: df.index ...,DataFrame. drop (labels=None, axis=0, index=None, columns=None, level=None, ... When using a multi-index, labels on different levels can be removed by ... ,DataFrame. drop (self, labels=None, axis=0, index=None, columns=None, ... a multi-index, labels on different levels can be removed by specifying the level. ,pandas.DataFrame.drop. Remove rows or columns by specifying label names and corresponding axis, or by specifying directly index or column names. When using a multi-index, labels on different levels can be removed by specifying the level. Whether to drop l,Return DataFrame with requested index / column level(s) removed. ... be the name of a level If list-like, elements must be names or positional indexes of levels. ,Removes all levels by default. drop : boolean, default False. Do not try to insert index into dataframe columns. This resets the index to the default integer index. ,Reset the index, or a level of it. Reset the index of the DataFrame, and use the default one instead. If the DataFrame has a MultiIndex, this method can remove ... ,MultiIndex.droplevel(level=0)¶. Return Index with requested level removed. If MultiIndex has only 2 levels, the result will be of Index type not MultiIndex. ,If resulting index has only 1 level left, the result will be of Index type, not MultiIndex. Parameters: level : int, str, or list-like, default 0. If a string is given, must be the name of a level If list-like, elements must be names or indexes of levels., DataFrame([[1,2], [3,4]], columns=cols) >>> df a b c 0 1 2 1 3 4 [2 rows ... Dropping the top level would leave two columns with the index 'y'.
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 pandas drop index level 相關參考資料
How to remove levels from a multi-indexed dataframe? - Stack Overflow
df.reset_index(level=2, drop=True) Out[29]: A 1 1 8 3 9 ... You can also specify negative indices, for selection from the end: df.index ... https://stackoverflow.com pandas.DataFrame.drop — pandas 0.23.3 documentation
DataFrame. drop (labels=None, axis=0, index=None, columns=None, level=None, ... When using a multi-index, labels on different levels can be removed by ... https://pandas.pydata.org pandas.DataFrame.drop — pandas 0.25.0.dev0+752 ...
DataFrame. drop (self, labels=None, axis=0, index=None, columns=None, ... a multi-index, labels on different levels can be removed by specifying the level. https://pandas-docs.github.io pandas.DataFrame.drop — pandas 0.25.1 documentation
pandas.DataFrame.drop. Remove rows or columns by specifying label names and corresponding axis, or by specifying directly index or column names. When using a multi-index, labels on different levels ca... https://pandas.pydata.org pandas.DataFrame.droplevel — pandas 0.25.0.dev0+752 ...
Return DataFrame with requested index / column level(s) removed. ... be the name of a level If list-like, elements must be names or positional indexes of levels. https://pandas-docs.github.io pandas.DataFrame.reset_index — pandas 0.17.0 ...
Removes all levels by default. drop : boolean, default False. Do not try to insert index into dataframe columns. This resets the index to the default integer index. https://pandas.pydata.org pandas.DataFrame.reset_index — pandas 0.25.1 ...
Reset the index, or a level of it. Reset the index of the DataFrame, and use the default one instead. If the DataFrame has a MultiIndex, this method can remove ... https://pandas.pydata.org pandas.MultiIndex.droplevel — pandas 0.18.0 documentation
MultiIndex.droplevel(level=0)¶. Return Index with requested level removed. If MultiIndex has only 2 levels, the result will be of Index type not MultiIndex. https://pandas.pydata.org pandas.MultiIndex.droplevel — pandas 0.25.1 documentation
If resulting index has only 1 level left, the result will be of Index type, not MultiIndex. Parameters: level : int, str, or list-like, default 0. If a string is given, must be the name of a level If ... https://pandas.pydata.org Pandas: drop a level from a multi-level column index? - Stack Overflow
DataFrame([[1,2], [3,4]], columns=cols) >>> df a b c 0 1 2 1 3 4 [2 rows ... Dropping the top level would leave two columns with the index 'y'. https://stackoverflow.com |