Spaces:
Sleeping
Sleeping
Jimin Park
commited on
Commit
·
e9fb72e
1
Parent(s):
67e33fc
kermitting soon
Browse files- util/helper.py +6 -1
util/helper.py
CHANGED
@@ -955,14 +955,19 @@ def calculate_champion_loyalty(df):
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# print("row['L_1'] type: ", type(row['L_1']), "\n row['L_1']: ", row['L_1'], "\n")
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print(f"row['W_1'] value: {repr(row['W_1'])}, type: {type(row['W_1'])}")
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print(f"row['L_1'] value: {repr(row['L_1'])}, type: {type(row['L_1'])}")
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-
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recent_games = [
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(int(row['W_1']) + int(row['L_1'])) if pd.notna(row['most_champ_1']) else 0,
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(int(row['W_2']) + int(row['L_2'])) if pd.notna(row['most_champ_2']) else 0
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]
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total_recent_games = sum(recent_games)
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total_season_games = sum(season_games)
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if total_recent_games == 0:
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return {
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# print("row['L_1'] type: ", type(row['L_1']), "\n row['L_1']: ", row['L_1'], "\n")
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print(f"row['W_1'] value: {repr(row['W_1'])}, type: {type(row['W_1'])}")
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print(f"row['L_1'] value: {repr(row['L_1'])}, type: {type(row['L_1'])}")
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+
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print(".... END calculate games played for recent champions (only top 2)\n")
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+
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recent_games = [
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(int(row['W_1']) + int(row['L_1'])) if pd.notna(row['most_champ_1']) else 0,
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(int(row['W_2']) + int(row['L_2'])) if pd.notna(row['most_champ_2']) else 0
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]
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print(f"recent_games was: {recent_games}, types: {[type(x) for x in recent_games]}")
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print("Summing recent games... \n")
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total_recent_games = sum(recent_games)
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total_season_games = sum(season_games)
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+
print("End of summing recent games... \n Total recent_games = ", total_recent_games, "\n total_season_games: ", total_season_games, "\n")
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if total_recent_games == 0:
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return {
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