Skip to main content

Find all players with the longest winning streak

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

Comments

Popular posts from this blog

How to show number of registered users in Laravel based on usertype?

i'm trying to display data from the database in the admin dashboard i used this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count(); echo $users; ?> and i have successfully get the correct data from the database but what if i want to display a specific data for example in this user table there is "usertype" that specify if the user is normal user or admin i want to user the same code above but to display a specific usertype i tried this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count()->WHERE usertype =admin; echo $users; ?> but it didn't work, what am i doing wrong? source https://stackoverflow.com/questions/68199726/how-to-show-number-of-registered-users-in-laravel-based-on-usertype

Why is my reports service not connecting?

I am trying to pull some data from a Postgres database using Node.js and node-postures but I can't figure out why my service isn't connecting. my routes/index.js file: const express = require('express'); const router = express.Router(); const ordersCountController = require('../controllers/ordersCountController'); const ordersController = require('../controllers/ordersController'); const weeklyReportsController = require('../controllers/weeklyReportsController'); router.get('/orders_count', ordersCountController); router.get('/orders', ordersController); router.get('/weekly_reports', weeklyReportsController); module.exports = router; My controllers/weeklyReportsController.js file: const weeklyReportsService = require('../services/weeklyReportsService'); const weeklyReportsController = async (req, res) => { try { const data = await weeklyReportsService; res.json({data}) console...

ValueError: X has 10 features, but LinearRegression is expecting 1 features as input

So, I am trying to predict the model but its throwing error like it has 10 features but it expacts only 1. So I am confused can anyone help me with it? more importantly its not working for me when my friend runs it. It works perfectly fine dose anyone know the reason about it? cv = KFold(n_splits = 10) all_loss = [] for i in range(9): # 1st for loop over polynomial orders poly_order = i X_train = make_polynomial(x, poly_order) loss_at_order = [] # initiate a set to collect loss for CV for train_index, test_index in cv.split(X_train): print('TRAIN:', train_index, 'TEST:', test_index) X_train_cv, X_test_cv = X_train[train_index], X_test[test_index] t_train_cv, t_test_cv = t[train_index], t[test_index] reg.fit(X_train_cv, t_train_cv) loss_at_order.append(np.mean((t_test_cv - reg.predict(X_test_cv))**2)) # collect loss at fold all_loss.append(np.mean(loss_at_order)) # collect loss at order plt.plot(np.log(al...