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climate-data-analyses πŸ”₯πŸŒŽπŸ’» πŸ“Š

This introductory course to using Python for climate data analyses is based on a 4 2-hour lecture series at UCLA.

Packages covered:

  • Numpy
  • Pandas
  • Scipy
  • Xarray
  • Matplotlib
  • Cartopy

Lectures:

  1. Intro to data analyses
  • Lists vs. arrays
  • Pandas Series
  • Matplotlib line and scatter plots
  • Pandas DatetimeIndex and resampling
  1. Pandas DataFrames
  • Creating DataFrames
  • Slicing DataFrames
  • Plotting DataFrames in Pandas and Matplotlib
  • Reading external files to create DataFrames
  1. Working with netCDF Files Part 1
  • Extracting and manipulating data with Xarray
  • Simple Xarray maps
  1. Working with netCDF Files Part 2
  • Maps with Cartopy
  • Xarray resampling

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Using Python to analyze and visualize climate data

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