Showing entries tagged [python]

Plotting AWIPS Map Resources with Python

The python-awips package provides access to the entire AWIPS Maps Database for use in Python GIS applications. Map objects are returned as Shapely geometries (Polygon, Point, MultiLineString, etc.) and can be easily plotted by Matplotlib, Cartopy, MetPy, and other packages.

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Simple Plotting in Python with matplotlib

In this series, we work on some simpler tasks:

  1. Making a line plot using matplotlib
  2. Downloading a time-series of data from a THREDDS server
  3. Plotting the data using matplotlib
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Requesting Grid Parameters and Levels with python-awips

The Python AWIPS Data Access Framework can be used to query available grid parameters and levels if given a known Grid name (as of AWIPS 15.1.3 we can not query derived parameters, only parameters which have been directly decoded).

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Plotting GINI Water Vapor Imagery (Part 2)

This is Part 2 of a series of notebooks showing how to plot GINI-formatted satellite data from a THREDDS server using MetPy and Siphon. In Part 1 we covered how to access and parse the data file. In this part, we cover:

  • Grabbing the data from the file
  • Making sense of the projection information
  • Plotting with CartoPy and matplotlib
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Plotting GINI Water Vapor Imagery (Part 1)

Water Vapor Sample Image

This is the first of what we hope will be a series of posts showing how to use Python for weather analysis and create graphics for a variety of purposes. In this two-part post, we demonstrate plotting a water vapor satellite image, specifically using GINI formatted data. GINI is the format currently used for satellite data transmitted across NOAAPORT, and is available on Unidata's demonstration THREDDS server. This first part focuses on accessing the data using Siphon and MetPy; the second part will introduce plotting using CartoPy.

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A weblog about software development by Unidata developers*

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