Pandas is an open-source Python library providing high-performance, easy-to-use data structures and data analysis tools.
In this guide, we will learn about one of the most important Pandas Data Structures, the DataFrame, and how to use it.
What is a DataFrame?
DataFrames are similar to SQL tables or the spreadsheets that you work with in Excel. The data is represented in rows and columns.
A pandas DataFrame can be created using the following constructor −
pandas.DataFrame( data, index, columns, dtype, copy)- data: ndarray, series, map, lists, dict, constants or another DataFrame
- index: row labels
- columns: column labels
- dtype: data type…
