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the-magnificents / 04-02-2021-Carpentry-for-HGIS

A carpentry workshop focused on Digital Humanities audience that works with Geospatial Data.
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04-02-2021-Carpentry-for-HGIS/02_Day_2_Python_GIS/exercise/B2_Exercise #73

Open utterances-bot opened 3 years ago

utterances-bot commented 3 years ago

Pandas dataframes — Python essentials for GIS learners

https://the-magnificents.github.io/04-02-2021-Carpentry-for-HGIS/02_Day_2_Python_GIS/exercise/B2_Exercise.html

MertenNefs commented 3 years ago 
print(df.loc['Serbia','gdpPercap_2007'])
MertenNefs commented 3 years ago
  1. no
  2. The script imports the data into a variable, subsets the Americas, takes out Puerto Rico, deletes the continent data column and saves a CSV file
  3. selects row value that has lowest/highest value for each column For Poland, I wouldn't mess with the data, but just put an * and explain the situation in a footnote