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()
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Example #1: Use keys() function to find the columns of a dataframe.
# importing pandas as pdimport pandas as pd # Creating the dataframe df = pd.read_csv("nba.csv") # Print the dataframedf |
# find the keys of the dataframedf.keys() |
Output :
Example #2: Use keys() function to find the index of the pandas series object.
# importing pandas as pdimport pandas as pd # Creating the series sr = pd.Series([12, 5, None, 5, None, 11]) # Print the seriessr |
# to find the indexsr.keys() |
Output :
