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It could be nice to have a sort of "tool" to get insights about how the bot works, in terms of caught pokemons per day, more "popolous" locations, cp level mean and other aggregated data.
Possible solution
After my previous PR, I'm using some Python data science addicted libraries (Pandas & Matplotlib) to plot and aggregate data got by the caught pokemons log.
At the time I developed:
caught pokemon day by day.
caught pokemons vs mean cp level, day by day;
caught pokemons clustered by cp level range;
caught pokemons all over the time;
more coming (aggregated day by location/by pokemon type and so on)!
How it would help others
Even I did this just for didactic purpose, I'd like to share it with the community.
So, how would you integrate it the the bot core base?
At this time I was thinking about manually launching a script which accepts the log path and saves the output images to specific folder.
Cheers,
FB
The text was updated successfully, but these errors were encountered:
brunifrancesco
changed the title
[WIP] Caught pokemon insights
[REQUEST][WIP] Caught pokemon insights
Nov 29, 2016
brunifrancesco
changed the title
[REQUEST][WIP] Caught pokemon insights
[Request][WIP] Caught pokemon insights
Nov 29, 2016
Short Description
It could be nice to have a sort of "tool" to get insights about how the bot works, in terms of caught pokemons per day, more "popolous" locations, cp level mean and other aggregated data.
Possible solution
After my previous PR, I'm using some Python data science addicted libraries (Pandas & Matplotlib) to plot and aggregate data got by the caught pokemons log.
At the time I developed:
How it would help others
Even I did this just for didactic purpose, I'd like to share it with the community.
So, how would you integrate it the the bot core base?
At this time I was thinking about manually launching a script which accepts the log path and saves the output images to specific folder.
Cheers,
FB
The text was updated successfully, but these errors were encountered: