This would be better if it accepted a date range - e.g.
start = pd.to_datetime('2019-01-01')
end = pd.to_datetime('2022-08-01')
speeds = ookla.get_ookla_data(start,end)
(Resulting dataframe would be a single aggregated dataframe of all the Ookla parquet files inside the date range, aggregated by mean(up/down), sum(total_devices) )
This would be better if it accepted a date range - e.g. start = pd.to_datetime('2019-01-01') end = pd.to_datetime('2022-08-01') speeds = ookla.get_ookla_data(start,end)
(Resulting dataframe would be a single aggregated dataframe of all the Ookla parquet files inside the date range, aggregated by mean(up/down), sum(total_devices) )
Originally posted by @AnthonyMockler in https://github.com/thinkingmachines/geowrangler/issues/127#issuecomment-1216809434