Pandas DataFrame.columns Syntax

Syntax: DataFrame.columns

Parameter : None

Returns : column names

This attribute does not require any parameters to be passed. When called on a data frame using the syntax DataFrame.columns, it returns the names of the columns present in that data frame.

Python | Pandas DataFrame.columns

This article explores the Pandas DataFrame.columns attribute. A Pandas dataframe is a two-dimensional, mutable, and potentially heterogeneous data structure with labeled rows and columns. It serves as a container for Series objects and is a fundamental structure in Pandas, facilitating various operations with aligned row and column labels.

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Pandas DataFrame.columns Syntax

Syntax: DataFrame.columns Parameter : None Returns : column names...

What is Pandas DataFrame.columns?

In Pandas, DataFrame.columns is an attribute that provides access to the column labels of a data frame. It returns an Index object representing the names of the columns in the DataFrame. This attribute is used to view, manipulate, or assign new column labels to a Pandas DataFrame, allowing users to work with and reference specific columns within the tabular data structure. Pandas DataFrame.columns attribute returns the column labels of the given Dataframe....

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