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import geopandas as gpd | |
# Sample DataFrame acording to actual structure (use your own data) | |
data = {'GID_1': ['DEU.1_1','DEU.2_1'], | |
'GID_0': ['DEU', 'DEU'], | |
'COUNTRY': ['Germany', 'Germany'], | |
'NAME_1': ['Baden-Würtenberg', 'Bayern'], | |
'VARNAME_1': ['NA','Bavaria'], | |
'NL_NAME_1': ['NA', 'NA'], | |
'TYPE_1': ['Land', 'Freistaat'], | |
'ENGTYPE_1': ['State', 'Freestate'], | |
'CC_1': ['08','09'], | |
'HASC_1': ['DE.BW', 'DE.BY'], # Extra for subnational countys (https://de.wikipedia.org/wiki/Hierarchical_administrative_subdivision_codes) | |
'ISO_1': ['NA', 'DE-BY'], # International Order --> Check First (https://de.wikipedia.org/wiki/ISO_3166) | |
'geometry': [0,1] | |
} | |
gdf = gpd.GeoDataFrame(data) | |
# function to generate output | |
# Land should be a line from the geojson-table | |
# Currently only works for NUTS-1 areas!!! | |
def getCountrycode(land): | |
if land['ISO_1'] != 'NA': | |
return land['ISO_1'] | |
elif land['HASC_1']: | |
return land['HASC_1'] | |
else: | |
return False | |