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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 #127 (comment)
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