Python | Pandas dataframe.keys() (original) (raw)

Last Updated : 19 Nov, 2018

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas **dataframe.keys()** function returns the 'info axis' for the pandas object. If the pandas object is series then it returns index. If the pandas object is dataframe then it returns columns. If the pandas object is panel then it returns major_axis.

Syntax: DataFrame.keys()

For link to the CSV file, click here Example #1: Use keys() function to find the columns of a dataframe.

Python3 `

importing pandas as pd

import pandas as pd

Creating the dataframe

df = pd.read_csv("nba.csv")

Print the dataframe

df

`

Python3 1== `

find the keys of the dataframe

df.keys()

`

Output : Example #2: Use keys() function to find the index of the pandas series object.

Python3 `

importing pandas as pd

import pandas as pd

Creating the series

sr = pd.Series([12, 5, None, 5, None, 11])

Print the series

sr

`

Python3 1== `

to find the index

sr.keys()

`

Output :