How To Create DataFrame In Pandas #python #pandas #shorts

In this short we have told how we can use the dictionary and convert it into dataframe i.e. tabular format. Next we are going to see several methods of DataFrame so through this video you will get to know how to create a DataFrame. #coding

What is a DataFrame?

A DataFrame is a 2-dimensional labeled data structure with columns of potentially different types (like a table in a database or an Excel spreadsheet). You can think of a DataFrame as a collection of Series, where each column is a Series.

Key Features of DataFrame

1) Rows and Columns: DataFrames have both rows and columns with labeled indexes.
2) Different Data Types: Each column can have a different data type (e.g., integers, floats, strings).
3) Indexed: Both rows and columns are indexed, making it easier to access and manipulate data.

We used Two Methods In this Short:

1) DataFrame : This Method Is Used To Create A DataFrame

2) head : Shows First Few Rows Of CSV file.

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