Welcome to the Pandas DataFrames Tutorial!
Unlock the potential of your data with Pandas, one of the most powerful data manipulation libraries in Python. This tutorial will guide you through the fundamental operations in data frames.
What is a DataFrame?
A DataFrame is a two-dimensional, size-mutable, and potentially heterogeneous tabular data structure with labeled axes (rows and columns). Think of it as a spreadsheet or SQL table.
Basic Operations
With DataFrames, you can perform various data operations like filtering, grouping, aggregating, and pivoting. Here's a sneak peek:
- Filtering rows based on conditions.
- Adding or dropping columns.
- Merging multiple DataFrames.