Added fatigue team sum per day

data_preparation/cleaned/fatigue_total_sum.csv

@@ -0,0 +1,355 @@
+,TimeSinceAugFirst,fatigueSum
+0,0,0.7344574890035869
+1,1,0.4851754722007276
+2,2,0.28047459289987386
+3,3,0.8528996720285117
+4,4,0.06771812799773429
+5,5,0.38726124826728237
+6,6,0.4668151381247664
+7,7,0.7637319478908893
+8,8,0.6855120834803765
+9,9,0.8951086560274633
+10,10,-0.06186187112232838
+11,11,0.2963219073909037
+12,12,0.6231177621144958
+13,13,0.7538292507958928
+14,14,0.21787034421122503
+15,15,0.5392684904608605
+16,16,0.7348439424725517
+17,17,0.3084691218711857
+18,18,0.1670411353591235
+19,19,0.7462678803405148
+20,20,0.6227886527763683
+21,21,0.2143201560580074
+22,22,0.05082785784393374
+23,23,0.29424679033220863
+24,24,0.18680862419432184
+25,25,0.552767197321023
+26,26,0.7845417065855602
+27,27,0.7794195508511091
+28,28,0.7983573737310359
+29,29,0.32312904046310925
+30,30,0.14514380851555342
+31,31,0.6848776416265696
+32,32,0.5398747937715528
+33,33,0.36321009791782977
+34,34,0.48914820446583296
+35,35,0.4132365429778073
+36,36,0.39501189373141715
+37,37,0.15683705077138557
+38,38,-0.2855582184594008
+39,39,-0.3496985399214124
+40,40,-0.5587658361439648
+41,41,0.7859411947792441
+42,42,0.2608251361668858
+43,43,0.17517332439518096
+44,44,0.548662507988438
+45,45,0.2523212311062572
+46,46,0.742763716938104
+47,47,0.5298725111377356
+48,48,0.3704240285113799
+49,49,0.16273339415336321
+50,50,0.35710794662067674
+51,51,0.012983087373204446
+52,52,-0.03899796525449454
+53,53,0.24108517993130238
+54,54,0.2730510305728201
+55,55,0.5012834549713512
+56,56,0.35213155414989655
+57,57,0.5103081825319213
+58,58,0.40841696141170136
+59,59,-0.3822596251715601
+60,60,0.11178493384173875
+61,61,0.6105782657414672
+62,62,0.5638365796066905
+63,63,0.38703815913988415
+64,64,0.17691474265163973
+65,65,-0.1584409744032508
+66,66,-0.12780884688678903
+67,67,0.1676751033705102
+68,68,0.23241255411788467
+69,69,-0.03403958674123605
+70,70,0.36921913242084736
+71,71,0.05516608110063374
+72,72,-0.1591400757571597
+73,73,-0.14381570504980845
+74,74,0.30993129245096845
+75,75,0.4817187006378433
+76,76,0.5426959856634723
+77,77,-0.5926098626069284
+78,78,-0.08787176009022218
+79,79,0.323133612277408
+80,80,0.14592673804854944
+81,81,0.2660684986755749
+82,82,0.11289500622744879
+83,83,0.11774653805839017
+84,84,0.28998255862081274
+85,85,0.1562687777248425
+86,86,0.3369601944304925
+87,87,0.21156851662268664
+88,88,0.4056548888566286
+89,89,-0.08065109476753157
+90,90,-0.9895032129301133
+91,91,-0.6185894832682024
+92,92,-0.10635463331522474
+93,93,-0.0367041670152624
+94,94,-0.19906175862849756
+95,95,-0.1653914049490471
+96,96,0.4655597131519229
+97,97,0.5537123641477566
+98,98,0.10718598664191972
+99,99,-0.1765203192376061
+100,100,-0.01247174683911395
+101,101,0.009238546030445893
+102,102,0.031210965670767726
+103,103,0.306981488185374
+104,104,0.3265128063013286
+105,105,0.3897899457874447
+106,106,0.1633383925102647
+107,107,0.43041006311015984
+108,108,0.06452962128075361
+109,109,-0.05664283933186226
+110,110,0.3608106160730567
+111,111,0.6744862356360053
+112,112,0.20317761835016498
+113,113,0.016482187327924346
+114,114,0.645937951499796
+115,115,-0.635636762766677
+116,116,0.05426729872634844
+117,117,0.19767824790576916
+118,118,-0.037744729883123995
+119,119,0.5101843862412544
+120,120,0.456725618316876
+121,121,0.3694272022261105
+122,122,-0.3056942726076881
+123,123,-1.0919116910209934
+124,124,-0.726910533417431
+125,125,-0.4388472873908896
+126,126,0.029939288546349287
+127,127,-0.06137110272940533
+128,128,-0.24552813243807786
+129,129,0.009470765956943406
+130,130,-0.34178437060398775
+131,131,-0.04991936535772925
+132,132,0.09714317205897194
+133,133,-0.011342193521126434
+134,134,0.08042170320790365
+135,135,-0.12900441771911692
+136,136,-0.27085969616046635
+137,137,-0.7089046464519477
+138,138,-0.22900902626408856
+139,139,-0.1814244389597814
+140,140,-0.026564683920244823
+141,141,0.2190654841184067
+142,142,-0.5304390859264948
+143,143,-0.739993065212586
+144,144,-0.07814424732831397
+145,145,0.2818062549870509
+146,146,0.10632331261740126
+147,147,0.4610515035246875
+148,148,-0.1949608448773015
+149,149,-1.032347147920899
+150,150,-0.22170874963304332
+151,151,-0.14609477120948897
+152,152,-0.7698453057085761
+153,153,-0.006930021908459132
+154,154,-0.10464728372829608
+155,155,-0.012381788872798885
+156,156,-0.19121232166827026
+157,157,-0.6715295272018171
+158,158,-0.6163942244984447
+159,159,-0.07394318293840786
+160,160,0.05714764020354259
+161,161,-0.3463306308733807
+162,162,-0.08655944015928
+163,163,-0.40820283723896816
+164,164,-1.2890163326990187
+165,165,-1.0620096921743887
+166,166,-0.2390787073524069
+167,167,-0.06959286135145615
+168,168,-0.4705009743846203
+169,169,-1.0235076040997462
+170,170,-0.38241473575656176
+171,171,-0.0919836761123891
+172,172,0.01619412513544485
+173,173,0.2085579252960514
+174,174,0.3826314355942887
+175,175,0.0546188605653523
+176,176,0.39253931444369095
+177,177,0.4073081770793248
+178,178,0.5361087576086003
+179,179,-0.559118537823889
+180,180,-0.04127942580662245
+181,181,-0.8119777793283375
+182,182,-0.6731101391927786
+183,183,-0.6471900326468963
+184,184,-0.2640557591258382
+185,185,0.21372067089260005
+186,186,0.16953292967820452
+187,187,0.5728231280292477
+188,188,0.5041384981085575
+189,189,-0.025148663593221068
+190,190,0.2432561651688418
+191,191,-0.028600242158835457
+192,192,-0.4709730852987265
+193,193,-0.40498016732413183
+194,194,0.19268730744400392
+195,195,0.2491234634614092
+196,196,-0.09450139502181923
+197,197,0.3301716423691231
+198,198,0.30380891634516755
+199,199,-0.2258951881744846
+200,200,-0.3371851443622679
+201,201,0.18456077399231852
+202,202,0.10594506304863852
+203,203,-0.26826349037309316
+204,204,-0.6305855583314973
+205,205,-0.45820684078774365
+206,206,-0.49815805297679083
+207,207,-0.029702307826457188
+208,208,-0.06797976527748503
+209,209,-0.6569256565250553
+210,210,-0.45752927486509876
+211,211,-0.27135218581134485
+212,212,-1.1165563279167452
+213,213,-0.6111669314465557
+214,214,-0.6105273765267971
+215,215,0.03438253013308448
+216,216,-0.14131846494594386
+217,217,0.0045112614690663855
+218,218,-0.16449239501985058
+219,219,-0.05686221199747391
+220,220,0.010261586762042467
+221,221,0.10108202461301764
+222,222,0.37230079653950404
+223,223,-0.1458749617004085
+224,224,0.06072610620998051
+225,225,-0.37105941221648064
+226,226,-0.37067009222163605
+227,227,0.08311952745889095
+228,228,-0.05833898692975855
+229,229,0.33629582774049993
+230,230,0.5192651216991766
+231,231,0.1696838266192163
+232,232,0.07748684044191127
+233,233,-0.4743646121345583
+234,234,-0.24770226914026555
+235,235,-0.6595954881299645
+236,236,0.26240259376226943
+237,237,-0.2779056699659787
+238,238,-0.07385767855878048
+239,239,0.053602846962544116
+240,240,-0.606205677585295
+241,241,-0.6240533185483063
+242,242,-0.6058672242100481
+243,243,-0.2529542976745638
+244,244,-0.10133856985122752
+245,245,0.13329935585054334
+246,246,0.4164696355414681
+247,247,-0.48865392999332996
+248,248,0.145411566109825
+249,250,-0.7273385231793927
+250,251,0.12410412032198169
+251,252,0.27674868329463415
+252,253,0.7933817709056039
+253,254,0.6430634141972724
+254,255,1.0498918584797523
+255,256,0.16433766740443653
+256,257,0.1581754209003413
+257,258,-0.3767844129570323
+258,259,-1.13446825563484
+259,260,-0.682110266582935
+260,261,0.03890579636217944
+261,262,0.25070534761643054
+262,263,0.6308354888129499
+263,264,-0.3811854765459816
+264,265,-2.0947320525204836
+265,266,-1.0842354860084216
+266,267,-1.0043510999282745
+267,268,-0.9692235311586099
+268,269,-0.8451134775394933
+269,270,-0.5423262674604377
+270,271,-0.15428902367855632
+271,272,-0.47818347594846994
+272,273,-0.3061862272276976
+273,274,0.13016558778888693
+274,275,-0.5346074316667073
+275,276,-0.024108562029164497
+276,277,0.44135660385783515
+277,278,0.8359742523934252
+278,279,0.5047436125815261
+279,280,0.6080841302618076
+280,281,0.35428669835871673
+281,282,0.1490984551391564
+282,283,0.3628666490409816
+283,284,0.5851070995519784
+284,285,-0.23884955785828602
+285,286,-1.2931620504440084
+286,287,-0.5149710038459224
+287,288,-0.13060527178434828
+288,289,0.05460102315917359
+289,290,0.7126540531525146
+290,291,0.3454110915997969
+291,292,0.5908276470938011
+292,293,0.22617556533671632
+293,294,0.06645643211862166
+294,295,-0.24410962776969897
+295,296,-0.6686078186408764
+296,297,-0.8927537790976293
+297,298,-0.8644506239971387
+298,299,-0.0526291051689912
+299,300,0.09787954027186502
+300,301,0.06886122334331811
+301,302,0.20130318055109625
+302,303,-0.3433112649541869
+303,304,-0.14959798865436585
+304,305,0.15919756672149993
+305,306,-0.1280300468277571
+306,307,-0.8817613473908142
+307,308,0.11091144515390736
+308,309,-0.059481544970225834
+309,310,0.24826104657910567
+310,311,0.21782917177756106
+311,312,-0.1687691177431938
+312,313,-0.7343025362546837
+313,314,-1.233666925895062
+314,315,-0.4250094786650305
+315,316,-0.23695666543827143
+316,317,-0.13528794113346507
+317,318,-0.21467610436495208
+318,319,-0.2465124428901275
+319,320,0.02001698597605328
+320,321,-0.5611020124713038
+321,322,-0.25833755332807773
+322,323,-0.36020138367026094
+323,324,-0.6767581793070323
+324,325,-1.2232671693259605
+325,326,-0.5524980778772826
+326,327,-0.0593829242117204
+327,328,-0.2301741460847353
+328,329,-0.17812573297568593
+329,330,-0.7822181509887379
+330,331,-0.9027716053209451
+331,332,-0.8341775858590699
+332,333,-0.6237422947183584
+333,334,0.029100211618237018
+334,335,-0.2769984632439794
+335,336,-0.4956169729129575
+336,337,-0.16842928848013955
+337,338,-0.21520559276700027
+338,339,-0.40092940485044154
+339,340,0.0014212864891760299
+340,341,0.24764616251080407
+341,342,-0.0198326678170691
+342,343,0.41449646066539014
+343,344,0.30521758335133714
+344,345,0.2603758932210191
+345,346,0.6435856062574784
+346,347,0.5875025644973848
+347,348,0.9333689916536452
+348,349,0.5629340431788956
+349,350,0.5822132331979378
+350,351,0.5505608569805795
+351,352,0.5982805951374118
+352,353,0.7396982091655812
+353,354,0.066689402177346

data_preparation/vectorization_ex.py

@@ -47,5 +47,34 @@ class WellnessCSV:
         df.to_csv(self.end)
 
 
-cls = WellnessCSV()
-cls.vectorize()
+class FatigueSum:
+    def __init__(self):
+        self.file = "cleaned/time_series_normalized_wellness.csv"
+        self.end = "cleaned/fatigue_total_sum.csv"
+
+    def calculate(self):
+        df = pd.read_csv(self.file)
+
+        # get some of the fatigue for a particular date
+        diction = dict()
+        dates = df["TimeSinceAugFirst"].unique()
+        dates = set(dates)
+        dates = list(dates)
+
+        # for each date, get unique data and get calculation
+        for date in dates:
+            pdf = df[df["TimeSinceAugFirst"] == date]
+            num_players = len(pdf["playerID"].unique())
+            fatigue_sum = pdf["normFatigue"].sum()
+            result = fatigue_sum / num_players
+            diction[date] = result
+
+        # Converting
+        dates = diction.keys()
+        values = diction.values()
+
+        final_df = pd.DataFrame()
+        final_df["TimeSinceAugFirst"] = dates
+        final_df["fatigueSum"] = values
+        final_df.to_csv(self.end)
+