forked from amarx-png/AAI500-Group3Final
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathPart2
More file actions
2239 lines (2239 loc) · 170 KB
/
Copy pathPart2
File metadata and controls
2239 lines (2239 loc) · 170 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
{
"cells": [
{
"cell_type": "markdown",
"id": "257aac63",
"metadata": {},
"source": [
"# Part 2: UFC Fighters Nationalities and Training Locations"
]
},
{
"cell_type": "markdown",
"id": "09022076",
"metadata": {},
"source": [
"For this section of project, we wanted to find out the UFC fighters' nationalities and their training locations.\n",
"\n",
"To complete this information we would need to isolate the blue and red corner fighter attributes, then combine both into one data frame and remove any fighter duplicates based on their fighter ID."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9e43555a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of unique fighters: 841\n",
" ID Name Age Height Weight \\\n",
"0 2783 Marvin Vettori 23.0 182.0 84 \n",
"1 2208 Carlos Diego Ferreira 32.0 175.0 70 \n",
"2 721 Takanori Gomi 38.0 172.0 70 \n",
"3 2825 Brandon Moreno 23.0 170.0 56 \n",
"4 2260 Elizabeth Phillips 30.0 167.0 61 \n",
"\n",
" HomeTown Location \n",
"0 Trento Italy Mezzocorona Italy \n",
"1 Careiro da Várzea, Amazonas Brazil Pharr, Texas USA \n",
"2 Kanagawa Japan Tokyo Japan \n",
"3 Tijuana Mexico Tijuana Mexico \n",
"4 Spokane, WA USA Spokane, WA USA \n"
]
}
],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import plotly.express as px\n",
"import warnings\n",
"warnings.filterwarnings('ignore')\n",
"\n",
"# Load dataset\n",
"ufc_df = pd.read_csv(\"../data.csv\")\n",
"\n",
"ufc_df.head()\n",
"\n",
"# Select relevant columns for blue corner fighters\n",
"blue_cols = [\n",
" 'B_ID', 'B_Name', 'B_Age', 'B_Height', 'B_Weight', 'B_HomeTown', 'B_Location'\n",
"]\n",
"\n",
"blue_df = ufc_df[blue_cols].rename(columns=lambda x: x.replace('B_', ''))\n",
"\n",
"# Select relevant columns for red corner fighters\n",
"red_cols = [\n",
" 'R_ID', 'R_Name', 'R_Age', 'R_Height', 'R_Weight', 'R_HomeTown', 'R_Location'\n",
"]\n",
"red_df = ufc_df[red_cols].rename(columns=lambda x: x.replace('R_', ''))\n",
"\n",
"# Combine both into one DataFrame\n",
"fighters = pd.concat([blue_df, red_df], ignore_index=True)\n",
"\n",
"# Remove duplicate fighters based on ID\n",
"unique_fighters = fighters.drop_duplicates(subset='ID').reset_index(drop=True)\n",
"\n",
"# Display the result\n",
"print(\"Number of unique fighters:\", len(unique_fighters))\n",
"print(unique_fighters.head())"
]
},
{
"cell_type": "markdown",
"id": "b4344dc6",
"metadata": {},
"source": [
"Above shows the new data frame of the unique ufc fighters, which result in a total of 841.\n",
"\n",
"From here we can count the number of unique fighters by their country and plot the results."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "8fd820bc",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Top 25 locations that UFC fighters were born in\n"
]
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 864x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"World map of where UFC fighters were born in per country\n"
]
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"coloraxis": "coloraxis",
"geo": "geo",
"hovertemplate": "Country=%{location}<br>Fighter_Count=%{z}<extra></extra>",
"locationmode": "country names",
"locations": [
"USA",
"Brazil",
"States",
"Canada",
"Mexico",
"Russia",
"England",
"Japan",
"Poland",
"Australia",
"Sweden",
"Korea",
"Ireland",
"France",
"China",
"Unknown",
"Republic",
"Zealand",
"Scotland",
"Denmark",
"Netherlands",
"Philippines",
"Bosnia",
"Cuba",
"Argentina",
"Germany",
"Croatia",
"Finland",
"Jamaica",
"Ukraine",
"Italy",
"Colombia",
"Africa",
"Serbia",
"Iraq",
"Wales",
"Venezuela",
"Spain",
"Peru",
"Brasil",
"Nigeria",
"Iran",
"Kurdistan",
"Norway",
"Afghanistan",
"Salvador",
"Romania",
"Guam",
"Israel",
"Taiwan",
"Haiti",
"Ghana",
"Vietnam",
"Nicaragua",
"Switzerland",
"Maine",
"Bahamas",
"Panama",
"Indies",
"Latvia",
"Iceland",
"PAN",
"Kyrgyzstan",
"Congo",
"Cameroon",
"Armenia",
"Belgium",
"Syria",
"Belarus",
"Austrailia",
"Chile",
"Moldova",
"Singapore",
"Ecuador",
"Michigan",
"Turkey",
"Cyprus",
"Paraguay"
],
"name": "",
"type": "choropleth",
"z": {
"bdata": "JgGEAFcAIQAaABkAGAAXABEAEAAOAAsACQAJAAcABgAFAAUABAAEAAQAAwADAAMAAwADAAMAAwADAAIAAgACAAIAAgACAAIAAgACAAIAAgACAAIAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEAAQABAAEA",
"dtype": "i2"
}
}
],
"layout": {
"coloraxis": {
"colorbar": {
"title": {
"text": "Fighter_Count"
}
},
"colorscale": [
[
0,
"#440154"
],
[
0.1111111111111111,
"#482878"
],
[
0.2222222222222222,
"#3e4989"
],
[
0.3333333333333333,
"#31688e"
],
[
0.4444444444444444,
"#26828e"
],
[
0.5555555555555556,
"#1f9e89"
],
[
0.6666666666666666,
"#35b779"
],
[
0.7777777777777778,
"#6ece58"
],
[
0.8888888888888888,
"#b5de2b"
],
[
1,
"#fde725"
]
]
},
"geo": {
"center": {},
"domain": {
"x": [
0,
1
],
"y": [
0,
1
]
}
},
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermap": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermap"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},