43 lines
No EOL
1.4 KiB
Python
43 lines
No EOL
1.4 KiB
Python
import pandas as pd
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import numpy as np
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from ParaUtils import parse_WPS_rankings
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from ParaUtils.Standards import LA2028_Events
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from pathlib import Path
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module_dir = Path(__file__).parent
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def set_AWR(DF):
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CAN = DF[DF.NPC == 'CAN']
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NR4 = DF[(DF.NPC_Rank > 3) & ~DF.index.isin(CAN.index)]
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pool = DF[~(DF.index.isin(CAN.index) | DF.index.isin(NR4.index))]
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pool = pool.assign(AWR=pool.Seconds.apply(lambda S: 1+len(pool[pool.Seconds < S])))
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return (
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pd.concat([
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CAN.assign(AWR='CAN'),
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NR4.assign(AWR='NR > 3'),
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pool
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])
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.sort_values('Seconds AWR'.split())
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)
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Current_AWR = (
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pd.read_excel(module_dir / '2025 Fall Performance AWR - 2025-10-07.xlsx')
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)
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def find_AWR(performances,AWR=Current_AWR,identifier='SNC_ID'):
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return (
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performances
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.astype({'SportClass':str})
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.merge(
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(
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AWR
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.pipe(lambda df: df[~df.AWR.isin('CAN|NR > 3'.split('|'))])
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.pipe(lambda df: df['Gender EventClass Distance Stroke Seconds'.split()])
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.rename(columns={'Seconds':'AWR'})
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),
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on='Gender EventClass Stroke Distance'.split(),
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how='inner'
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)
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.groupby([identifier]+'Gender EventClass Stroke Distance'.split(),group_keys=False)
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.apply(lambda df: df.assign(AWR=1+len(df[df.AWR < df.Seconds])).head(1))
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) |