[Feature Request]: Consider switching from `pandas` to `polars` for performance improvements
Opened this issue · 1 comments
bgrnwd commented
What feature would you like to see?
bgrnwd commented
Doing some basic profiling with cProfile
. Testing the code from the README
client = AmericanSoccerAnalysis()
asa_players = client.get_players(names="Andre")
Pandas
240613 function calls (238081 primitive calls) in 21.651 seconds
Ordered by: cumulative time
List reduced from 1475 to 10 due to restriction <10>
ncalls tottime percall cumtime percall filename:lineno(function)
2/1 0.000 0.000 21.651 21.651 {built-in method builtins.exec}
1 0.000 0.000 21.651 21.651 <string>:1(<module>)
1 0.000 0.000 21.650 21.650 client.py:477(get_players)
1 0.004 0.004 21.640 21.640 client.py:70(_get_entity)
6 0.001 0.000 21.588 3.598 client.py:260(_execute_query)
13 0.009 0.001 21.549 1.658 client.py:290(_single_request)
13 0.000 0.000 21.117 1.624 sessions.py:593(get)
13 0.000 0.000 21.116 1.624 sessions.py:502(request)
13 0.000 0.000 20.950 1.612 sessions.py:673(send)
13 0.000 0.000 20.679 1.591 adapter.py:50(send)
Polars