pandas is a software library written for the Python programming language for data manipulation and analysis.
In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license.
The name is derived from the term "panel data", an econometrics term for data sets that include observations over multiple time periods for the same individuals.
Its name is a play on the phrase "Python data analysis" itself.
Library Features
DataFrame object for data manipulation with integrated indexing.
Tools for reading and writing data between in-memory data structures and different file formats.
Data alignment and integrated handling of missing data.
Reshaping and pivoting of data sets.
Label-based slicing, fancy indexing, and subsetting of large data sets.
Data structure column insertion and deletion.
Group by engine allowing split-apply-combine operations on data sets.
Data set merging and joining.
Hierarchical axis indexing to work with high-dimensional data in a lower-dimensional data structure.
Time series-functionality: Date range generation and frequency conversion, moving window statistics, moving window linear regressions, date shifting and lagging.
Provides data filtration.
