2013-12-16, Josh Montague
A short introduction to some of the functionality in the pandas Python library. pandas provides high-performance data structures and analysis tools, notably the Series (1-dimensional) and DataFrame (2-dimensional). This notebook works through some of the pandas API for creating data structures from external files, manipulating these structures (slicing, "melting"), and also plotting data from them. The pandas API includes helper functions that are connected to the matplotlib API for fast and easy simple plots.
This session was built using:
- Python 2.7
- IPython 1.x
- numpy 1.7
- matplotlib 1.2
- pandas 0.9.1