How will you delete indices, rows and columns from a dataframe?

1.	How will you delete indices, rows and columns from a dataframe?
Answer» To delete an Index: Execute del df.index.name for removing the index by name. Alternatively, the df.index.name can be assigned to None. For example, if you have the below dataframe: Column 1 NAMES John 1 Jack 2 Judy 3 Jim 4 To drop the index name “Names”: df.index.name = None# Or run the below:# del df.index.nameprint(df) Column 1John 1Jack 2Judy 3Jim 4 To delete row/column from dataframe: drop() METHOD is used to delete row/column from dataframe. The axis argument is passed to the drop method where if the value is 0, it indicates to drop/delete a row and if 1 it has to drop the column. Additionally, we can try to delete the rows/columns in place by SETTING the value of inplace to True. This makes sure that the job is done without the need for reassignment. The duplicate values from the row/column can be deleted by USING the drop_duplicates() method.

Answer»

To delete an Index:

Column 1 NAMES John 1 Jack 2 Judy 3 Jim 4

df.index.name = None# Or run the below:# del df.index.nameprint(df) Column 1John 1Jack 2Judy 3Jim 4

To delete row/column from dataframe:

drop() METHOD is used to delete row/column from dataframe.
The axis argument is passed to the drop method where if the value is 0, it indicates to drop/delete a row and if 1 it has to drop the column.
Additionally, we can try to delete the rows/columns in place by SETTING the value of inplace to True. This makes sure that the job is done without the need for reassignment.
The duplicate values from the row/column can be deleted by USING the drop_duplicates() method.

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