Pandas, Data Frames, and Vector Data
Data analysis is a popular use of Python. Since Python can read and write lots of data formats, has powerful built-in mathematical functionality, and has a large number of third-party modules written for specific analytical and statistical realms, it has gained wide popularity among analysts and scientists.
One of the most popular data analysis modules is Pandas. It has become a standard tool for data analysis and data science, and has extended into geospatial analysis and geodata science.
In this chapter, we will cover the following topics:
- What a DataFrame is
- The basics of using Pandas, including reading and writing files
- Performing data analysis and manipulation with Pandas
- Using Spatially Enabled DataFrames (SEDFs)
To complete the exercises in this chapter, please download and unzip the Chapter8.zip folder from the GitHub repository for this book: https://github.com/PacktPublishing/Python...
