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MetPy Mondays #57 - Pandas CSV and Mapping
MetPy Mondays #308 - How to Deal with Missing Data Part 1 - QC
MetPy Mondays #253 - Gridding Mesonet Data and Merging Dataframes in Pandas
MetPy Mondays #112 - What is 1 - 0.5 Testing Calculations!
MetPy Mondays #101 - Making Subplots the Smart Way!
MetPy Mondays #104 - What is *args
MetPy Mondays #91 - Temperature Calculations and Pandas
MetPy Mondays #81 - Managing Environments
MetPy Mondays #324 - Build a Custom Local Data Cache with Python
MetPy Mondays #325 - Adding Fallback Data and Cleanup to a Local Data Cache with Python
MetPy Mondays #333 - How to Detect Highs and Lows
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Last Updated: September 22, 2026
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This week we mash data frames together with the This week learn how to parse CSV files from the web and plot their data on a Cartopy map. Learn how to merge a location and surface observation dataset, then grid them to get ready to do some calculations. Testing the output of calculations with floating point numbers is a common tripping point - this week we'll show Start making subplots the smart way in this week's This week we work with apparent temperature calculations and Environments are a useful tool for your Python based life, but managing them can be tricky. Learn the ins and outs on this week's ... The 2025 NSF Unidata Community Survey is now live! ✨ We need your input to better understand the top priorities and ...
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