Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool
- 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 generationand frequency conversion, moving window statistics, moving window linear regressions, date shifting and lagging
- Provides data filtration
Pandas is mainly used for machine learning in form of dataframes. Pandas allow importing data of various file formats such as csv, excel etc. Pandas allows various data manipulation operations such as groupby, join, merge, melt, concatenation as well as data cleaning features such as filling, replacing or imputing null values.