Introductory tutorial to the Python pandas library in which we will review the two main structures provided by this library: the series and the dataframe, both based on the versatile multidimensional array of NumPy. pandas, designed on top of NumPy, is a high-level library that offers great functionality for the correct use of the two structures mentioned, and in this tutorial we will review the most important concepts, functions and methods.
Content:
- Presentation
- Introduction to pandas data structures
- Creation of series and dataframes
- Data selection
- Series and dataframe editing
- Operations with pandas structures
- Reindexing
- Sorting and classification
- Application of functions and mapping
- Null value management
- Groupings
- Reading and writing files
- Conclusion
