Chris HoldgrafChris Holdgraf has contributed to the materials listed below. Chris is a core member of the Jupyter team at University of California
Course lessons are developed as a part of a course curriculum. They teach specific learning objectives associated with data and scientific programming. Chris Holdgraf has contributed to the following lessons:
Matplotlib is one of the most commonly used packages for plotting in Python. This lesson covers how to create a plot and customize plot colors and label axes using matplotlib.
This lesson covers how to crop a raster dataset and export it as a new raster in Python
Sometimes two shapefiles do not line up properly even if they cover the same area because they are in different coordinate reference systems. Learn how to reproject vector data in Python using geopandas to ensure your data line up.
This lesson introduces what vector data are and how to open vector data stored in shapefile format in Python.
Sometimes you need to manipulate multiple rasters to create a new raster output data set in Python. Learn how to create a CHM by subtracting an elevation raster dataset from a surface model dataset in Python.
This lesson introduces the raster geotiff file format - which is often used to store lidar raster data. You will learn the 3 key spatial attributes of a raster dataset including Coordinate reference system, spatial extent and resolution.