I am trying to crack the problem of finding the player(s) with the longest streak of winning using Python's 3.2.
I am only able to work out an unscalable solution, but I could not come up with a better one yet. Can anyone please help me with a better solution? Also, I am curious how to adapt such solution to output the player(s) with the longest winning streak per month or year?
Below is the sample dataframe players_results
Player_id Match_Date Match_Result
401 2021-05-04 00:00:00 W
401 2021-05-09 00:00:00 L
401 2021-05-16 00:00:00 W
401 2021-05-18 00:00:00 W
401 2021-05-22 00:00:00 L
401 2021-06-15 00:00:00 L
401 2021-06-16 00:00:00 W
401 2021-06-18 00:00:00 W
402 2021-05-14 00:00:00 L
402 2021-05-23 00:00:00 L
402 2021-05-24 00:00:00 W
402 2021-06-01 00:00:00 W
402 2021-06-02 00:00:00 W
402 2021-07-01 00:00:00 W
403 2021-05-03 00:00:00 L
403 2021-05-11 00:00:00 W
403 2021-05-12 00:00:00 W
403 2021-05-13 00:00:00 W
403 2021-05-20 00:00:00 W
403 2021-05-25 00:00:00 W
403 2021-07-06 00:00:00 L
404 2021-05-10 00:00:00 W
404 2021-05-16 00:00:00 W
404 2021-05-20 00:00:00 W
404 2021-05-22 00:00:00 W
404 2021-05-28 00:00:00 L
405 2021-05-07 00:00:00 L
405 2021-05-25 00:00:00 W
405 2021-06-06 00:00:00 L
405 2021-06-07 00:00:00 W
405 2021-06-14 00:00:00 W
405 2021-07-01 00:00:00 W
Expected Output
player_id longest_winningstreak
403 5
My unscalable code
df = players_results.groupby('player_id').count()
df = df['match_date'].reset_index()
#record result of player_id = 401 into vector b
a = [] # record the number of consecutive "W" of player_id = 401
x = 0
for i in range(df['match_date'][0]):
if players_results['match_result'][i] == 'W':
x = x + 1
if (i == df['match_date'][0]-1):
a.append(x)
else:
a.append(x)
x = 0
print(a)
b = []
b.append([df['player_id'][0],max(a)])
print(b)
c = []
y=0
for i in range(df['match_date'][0], df['match_date'][0]+df['match_date'][1]):
if players_results['match_result'][i] == 'W':
y = y + 1
if (i == df['match_date'][0]+df['match_date'][1]-1):
c.append(y)
else:
c.append(y)
y = 0
#record result of player_id = 402 into the vector b
b.append([df['player_id'][1],max(c)])
d = []
z=0
for i in range(df['match_date'][0]+df['match_date'][1], df['match_date'] [0]+df['match_date'][1]+df['match_date'][2]):
if players_results['match_result'][i] == 'W':
z = z + 1
if (i == df['match_date'][0]+df['match_date'][1]+df['match_date'][2]-1):
d.append(z)
else:
d.append(z)
z = 0
b.append([df['player_id'][2],max(d)])
e = []
z2=0
for i in range(df['match_date'][0]+df['match_date'][1]+df['match_date'][2], df['match_date'][0]+df['match_date'][1]+df['match_date'][2]+df['match_date'][3]):
if players_results['match_result'][i] == 'W':
z2 = z2 + 1
if (i == df['match_date'][0]+df['match_date'][1]+df['match_date'][2]+df['match_date'][3]-1):
e.append(z2)
else:
e.append(z2)
z2 = 0
#print(e)
b.append([df['player_id'][3],max(e)])
f = []
z3=0
for i in range(df['match_date'][0]+df['match_date'][1]+df['match_date'][2]+df['match_date'][3], df['match_date'][0]+df['match_date'][1]+df['match_date'][2]+df['match_date'][3]+df['match_date'][4]):
if players_results['match_result'][i] == 'W':
z3 = z3 + 1
if (i == df['match_date'][0]+df['match_date'][1]+df['match_date'][2]+df['match_date'][3]+df['match_date'][4]-1):
f.append(z3)
else:
f.append(z3)
z3 = 0
#print(e)
b.append([df['player_id'][4],max(f)])
source https://stackoverflow.com/questions/70492783/find-all-players-with-the-longest-winning-streak
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