**RGI version** RGI v7.0 A user asked for RGI to provide this. Its a fairly easy thing to compute, but we could. Here is the code: ```python import pandas as pd import glob, os files = sorted(glob.glob('RGIV70G/RGI2000-v7.0-G-*/RGI2000-v7.0-G-*-hypsometry.csv')) files_attrs = sorted(glob.glob('RGIV70G/RGI2000-v7.0-G-*/RGI2000-v7.0-G-*-attributes.csv')) assert len(files) == len(files_attrs) odf = pd.DataFrame() odfs = pd.DataFrame() for f, fa in zip(files, files_attrs): df = pd.read_csv(f, index_col=0) area = df.pop('area_km2') df = (df/1000).mul(area, axis=0) dfa = pd.read_csv(fa, index_col=0) reg = f'{dfa.o1region.unique()[0]:02d}' subregs = sorted(dfa.o2region.unique()) odf[reg] = df.sum() for sreg in subregs: odfs[sreg] = df.loc[dfa.o2region == sreg].sum() odf.to_csv('RGI2000-v7.0-G-hypsometry_o1-regions.csv') odfs.to_csv('RGI2000-v7.0-G-hypsometry_o2-regions.csv') ``` Here is the files: - [RGI2000-v7.0-G-hypsometry_o1-regions.csv](https://github.com/user-attachments/files/18131486/RGI2000-v7.0-G-hypsometry_o1-regions.csv) - [RGI2000-v7.0-G-hypsometry_o2-regions.csv](https://github.com/user-attachments/files/18131488/RGI2000-v7.0-G-hypsometry_o2-regions.csv)
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