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Pandas DataFrame set_index() Method

❮ DataFrame Reference


Make the "name" column become the index of the DataFrame:

import pandas as pd

data = {
  "name": ["Sally", "Mary", "John", "Monica"],
  "age": [50, 40, 30, 40],
  "qualified": [True, False, False, False]

df = pd.DataFrame(data)

newdf = df.set_index('name')
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Definition and Usage

The set_index() method allows one or more column values become the row index.


dataframe.set_index(keys, drop, append, inplace, verify_integrity)


The drop, append, inplace, verify_integrity parameters are keyword arguments.

Parameter Value Description
keys   Required. String or list containing column labels and/or column keys
drop True
Optional, default True. Set to False the column you set as row index, should still be kept as a column
append True
Optional, default False. Set to True if  the new row index should be appended to the existing (by default the existing index gets overwritten)
inplace True
Optional, default False. If True: the operation is done on the current DataFrame. If False: returns a copy where the operation is done.
verify_integrity True
Optional, default False. Specifies if the new indexes should be checked for duplicates or not

Return Value

A DataFrame with the result, or None if the inplace parameter is set to True.

❮ DataFrame Reference