Lesson 2: Working with Geo-DataFrames in Pandas and Geopandas

NEW!: You can optionally read these materials from a new website. Go to https://automating-gis-processes.github.io/2016/.

At this point, we have learned few things about how to deal with data and do processes using Python's own functionalities or using numpy -module. This week we will start using a specific Data Analysis Library in Python called Pandas and its spatial extension Geopandas that make working with data and geospatial data easy, efficient and fast.

Lesson overview:

1. Introduction to Pandas and Geopandas

• What are Pandas or Geopandas -modules
• Data in / out
• Coordinate reference system (CRS)
• Geometries in Geopandas
• Grouping data

2. Exercise 2

Resources

• Past lesson materials
  • Introduction to Python-GIS
  • Plotting in Python
  • Intro to Numpy
  • Reading and Writing files
  • Functions and modules
  • Control flow
  • Intro to version control and GitHub
  • Writing script files
  • Working on the exercises
• Web pages
  • Shapely documentation
  • Codecademy's Learn to program in Python
  • Software Carpentry's programming in Python
• Books
  • Learning Geospatial Analysis with Python: An effective guide to geographic information systems and remote sensing analysis using Python 3
  • Python for Data Analysis: Data wrangling with Pandas, NumPy and iPython
  • Python Geospatial Development: Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development
  • Python Scripting for ArcGIS
  • Python Geospatial Analysis Cookbook: Over 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python
  • Learn Python the Hard Way
  • Dive into Python 3