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Python | Pandas dataframe.keys()

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 :

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