Konstantin Stadler konstantinstadler
konstantinstadler
/ exio2RoWto3RoW.py
Last active
August 3, 2021 07:43
converting exiobase 2 letter RoW codes to 3 letters
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| import country_converter | |
| import pandas as pd | |
| custom_mapping = pd.DataFrame.from_dict( | |
| { | |
| "name_short": ["Africa", "Latin"], | |
| "name_official": ["RoW Africa", "RoW Latin America"], | |
| "regex": ["restafrica", "restlatin"], | |
| "ISO2": ["WA", "WL"], |
konstantinstadler
/ add_class_coco.py
Created
April 9, 2021 12:07
Example script for how to parse data to add a new classification column to the country converter coco: https://github.com/konstantinstadler/country_converter
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| """ Parse Global Health Data Exchange (GHDx) / Global Burden of Disease (GBD) numeric country codes for coco | |
| This needs only to be done once, but might be a good guide for other inputs as well | |
| Data sources: | |
| - GHDx: http://ghdx.healthdata.org/ | |
| - Codebook with country codes: ghdx.healthdata.org/sites/default/files/ihme_query_tool/IHME_GBD_2019_CODEBOOK.zip | |
| """ |
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| In [1]: import pymrio | |
| In [2]: tt = pymrio.load_test().calc_all() | |
| In [3]: tnew = tt.copy() | |
| In [4]: Ynew = tnew.Y.copy() | |
| In [5]: Ynew.loc['reg1', 'reg1'] = Ynew.loc['reg1', 'reg1'].values * 2 |