Use of Pandas in Python are:

  • 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.econometrics
  • 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.

For a detailed tutorial on Python Pandas please visit https://www.c-sharpcorner.com/article/a-complete-pandas-tutorial/