Pandas Introduction - chrisbitm/python GitHub Wiki
Pandas is an Open-Source Data Analysis and Manipulation Library for Python. It provides powerful Data Structures, such as Series
(one-dimensional) and DataFrame
(two-dimensional), which make working with Structured Data easier.
Key Features of Pandas:
- DataFrame & Series: Offers flexible data structures to store and manipulate labeled data.
- Data Cleaning: Handles missing data, duplicates, and data transformation.
- Data Aggregation & Grouping: Provides powerful
groupby()
functionality for summarizing data. - Indexing & Slicing: Allows efficient data selection and filtering.
- Integration: Works well with NumPy, SciPy, Matplotlib, and other libraries.
- I/O Operations: Supports reading/writing data from CSV, Excel, SQL, JSON, and more