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What is pandas in Python?

Pandas is defined as an open-source library that provides high-performance data manipulation in Python. The name of Pandas is derived from the word Panel Data , which means an Econometrics from Multidimensional data .

What is pandpandas Dataframe?

Pandas DataFrame is a widely used data structure which works with a two-dimensional array with labeled axes (rows and columns). DataFrame is defined as a standard way to store data that has two different indexes, i.e., row index and column index.

What are the key features of pandas?

Key Features of Pandas 1 It has a fast and efficient DataFrame object with the default and customized indexing. 2 Used for reshaping and pivoting of the data sets. 3 Group by data for aggregations and transformations. 4 It is used for data alignment and integration of the missing data. 5 Provide the functionality of Time Series. More items...

What is the origin of pandas?

The name of Pandas is derived from the word Panel Data, which means an Econometrics from Multidimensional data. It is used for data analysis in Python and developed by Wes McKinney in 2008.


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