![]() Determines how the other levels are named when the columns have multiple levels. col_fill: Takes a string, list, or None and is set to None by default.Determines what level the labels are inserted into when the columns have multiple levels. col_level: Takes integer or string values and is set to 0 by default.When this parameter is set to True it applies all changes to the current instance of the DataFrame, otherwise it creates a new DataFrame instance with the changes applied to that DataFrame. inplace: Takes a boolean value and is set to False by default. ![]() reset_index(), otherwise it sets the new index in front of the old index. When this parameter is set to True it replaces the previous DataFrame index with the new index provided by. drop: Takes a boolean value and is set to False by default.Removes the given levels from the index, by default all levels are removed. level: Takes integer, string, tuple, list, or None values and is set to None by default.reset_index() method provides the following parameters: Syntax df = dataframe_value.reset_index() reset_index() method can be used to reestablish a continuous index as well as remove one or more unwanted levels. Through this work an index may become discontinuous or additional levels may be added or subtracted from the index. Through the course of exploratory analysis, and other data work, a DataFrame object will often be modified to clean and/or restructure the data. ![]()
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