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Description:

pklshop 0.0.4

pklshop

A library for accessing and analyzing Pickleball data from
pklmart. You can find the full
documentation here.
Install
Install using:
pip install pklshop

How to use
This package includes the latest pickleball data from pklmart already
convieniently loaded into a pandas dataframe. You can access this data
by importing the pklshop.data module using:
from pklshop.data import *

(Note that since this package is writen using
nbdev it is safe to wildcard import because
the __all__ variable is automatically generated for each module.)
Once that’s done, this lib provides a function
get_tab_as_df
you can use to create and display tables within the database
Available tables are:
table_names

['tournament',
'match',
'game',
'rally',
'shot_type_ref',
'shot',
'player',
'team']

match.head()

<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}

.dataframe thead th {
text-align: right;
}

</style>

match_id
tourn_id
consol_ind
team_id_1
team_id_2
maint_dtm
maint_app
create_dtm
create_app

0
M1
T1
N
T1
T2
2022-04-09 03:19:33.840951+00:00
postgres
2022-04-09 03:19:33.840951+00:00
postgres

1
M2
T2
N
T2
T3
2022-05-26 00:45:11.301752+00:00
postgres
2022-05-26 00:45:11.301752+00:00
postgres

2
M5
T5
N
T6
T5
2022-06-28 00:40:22.948360+00:00
postgres
2022-06-28 00:40:22.948360+00:00
postgres

3
M6
T6
N
T5
T7
2022-07-07 23:01:45.921540+00:00
postgres
2022-07-07 23:01:45.921540+00:00
postgres

4
M7
T7
N
T8
T9
2022-07-11 02:40:50.597016+00:00
postgres
2022-07-11 02:40:50.597016+00:00
postgres

g = Game("G1")
g.summarize_game()

Anna Leigh Waters & Leigh Waters beat Jesse Irvine & Catherine Parenteau 12-10 in game G1
Player Error % Winner %
Jesse Irvine 17.46 9.52
Catherine Parenteau 1.59 0.00
Anna Leigh Waters 1.59 3.17
Leigh Waters 9.52 4.76

g.plot_impact_flow()

To see a more complete analysis in action, check out the
examples.
Also check out Connor and
this
analysis by conner-mcnicholas on timeout momentum!
r = Rally(“R1020”) r.animate_rally()