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@rossant
Last active December 20, 2015 14:59
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15th FINA WORLD CHAMPIONSHIPS, Barcelona (ESP)
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"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# A swirl in the pool?\n",
"\n",
"2013 FINA World Aquatics Championships in Barcelona: is there a difference between forward and backward times?\n",
"\n",
"Testing data: final of 1500m freestyle women.\n",
"\n",
" * [Source](http://natation.blog.lemonde.fr/2013/08/04/un-tourbillon-au-coeur-de-la-piscine-des-mondiaux/)\n",
" * [Data](http://www.omegatiming.com/File/Download?id=00010D020101001902FFFFFFFFFFFF02)"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import re\n",
"from operator import itemgetter\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%matplotlib inline"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We parse the table with the times copied from the PDF file to a TXT file."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"times = {}\n",
"lanes = {}\n",
"pattern_header = r\"^([0-9]+) ([0-9]+) ([A-Z]+ ([A-Z]{2,})*)\"\n",
"pattern_time = r\"^([0-9]+\\.[0-9]+)$\"\n",
"with open('1500_women_free.txt', 'r') as f:\n",
" for line in f:\n",
" mh = re.match(pattern_header, line)\n",
" if mh:\n",
" name = mh.group(3)\n",
" times[name] = []\n",
" lanes[name] = int(mh.group(2))\n",
" mt = re.match(pattern_time, line)\n",
" if mt:\n",
" times[name].append(float(mt.group(1)))\n",
"times = {name: np.array(t) for name, t in times.iteritems()}"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's sort the names by lane."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"names = [name for name, _ in sorted(lanes.iteritems(), key=itemgetter(1))]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For each swimmer, we plot the times of laps, splitted among forward (blue), and backward (red)."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt.figure(figsize=(12,4));\n",
"for i, name in enumerate(names):\n",
" t = times[name]\n",
" lane = lanes[name]\n",
" plt.subplot(2, 4, i + 1);\n",
" plt.plot(t[::2], 'o-b');\n",
" plt.plot(t[1::2], 'o-r');\n",
" plt.xlabel('Length number');\n",
" plt.ylabel('Time');\n",
" plt.title(\"{0:s} (lane {1:d})\".format(name, lane));\n",
"plt.tight_layout()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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04OnpiS1btsDQ0LASWsJRnUhKAp48CYaNDR9v3vw3cdTRCUeXLl0rsWYc2gLb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5YtORtnJiYmrNaaN2+Obdu24ciRI/j999+lWtrUsmVLIe1J2riq7TkeMWIEq6NRo0bhk08+YfdH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\n",
"text": [
"<matplotlib.figure.Figure at 0x75cb2e8>"
]
}
],
"prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We immediately observe that the direct way is longer for the swimmers in lanes 1-4, whereas the return is longer in lanes 5-8. Let's look at the average difference between forward and backward times."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt.figure(figsize=(12,4));\n",
"lanes = np.arange(1, len(lanes) + 1)\n",
"differences = [times[name][::2].mean() - times[name][1::2].mean() for name in names]\n",
"plt.bar(lanes, differences);\n",
"plt.xlabel('Lane');\n",
"plt.ylabel('Average difference between forward and backward ways');"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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HHxUcHKyVK1cqICCg1HMdDociIiLUrFkzrV27tvRvggIbAACgVBTYxXmmwDbd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\nof8HBXTKaE2JlzYAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x7bf7cf8>"
]
}
],
"prompt_number": 6
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This monotonic dependence of this time difference from lane to lane is troubling to say the least, even though we cannot draw conclusions directly from this basic analysis."
]
}
],
"metadata": {}
}
]
}
1 5 LEDECKY Katie USA 0.71 15:36.53 WR,CR,AM
50m ?1? 28.14
30.61
100m ?1? 58.75
30.58
150m ?1? 1:29.33
30.72
200m ?1? 2:00.05
31.16
250m ?1? 2:31.21
31.76
300m ?2? 3:02.97
31.50
350m ?2? 3:34.47
31.42
400m ?2? 4:05.89
31.31
450m ?2? 4:37.20
31.50
500m ?2? 5:08.70
31.33
550m ?2? 5:40.03
31.36
600m ?2? 6:11.39
31.47
650m ?2? 6:42.86
31.43
700m ?2? 7:14.29
31.53
750m ?2? 7:45.82
31.51
800m ?2? 8:17.33
31.62
850m ?2? 8:48.95
31.53
900m ?2? 9:20.48
31.88
950m ?2? 9:52.36
31.30
1000m ?2? 10:23.66
31.60
1050m ?2? 10:55.26
31.65
1100m ?2? 11:26.91
31.62
1150m ?2? 11:58.53
31.74
1200m ?2? 12:30.27
31.48
1250m ?2? 13:01.75
31.73
1300m ?1? 13:33.48
31.34
1350m ?1? 14:04.82
31.24
1400m ?1? 14:36.06
31.00
1450m ?1? 15:07.06
29.47
2 4 FRIIS Lotte DEN 0.73 15:38.88 2.35 ER
50m ?2? 28.39
30.76
100m ?2? 59.15
30.49
150m ?2? 1:29.64
31.07
200m ?2? 2:00.71
30.87
250m ?2? 2:31.58
31.28
300m ?1? 3:02.86
31.14
350m ?1? 3:34.00
31.26
400m ?1? 4:05.26
31.20
450m ?1? 4:36.46
31.51
500m ?1? 5:07.97
31.13
550m ?1? 5:39.10
31.58
600m ?1? 6:10.68
31.46
650m ?1? 6:42.14
31.84
700m ?1? 7:13.98
31.33
750m ?1? 7:45.31
31.85
800m ?1? 8:17.16
31.57
850m ?1? 8:48.73
31.74
900m ?1? 9:20.47
31.56
950m ?1? 9:52.03
31.58
1000m ?1? 10:23.61
31.48
1050m ?1? 10:55.09
31.76
1100m ?1? 11:26.85
31.48
1150m ?1? 11:58.33
31.78
1200m ?1? 12:30.11
31.56
1250m ?1? 13:01.67
31.87
1300m ?2? 13:33.54
31.38
1350m ?2? 14:04.92
31.62
1400m ?2? 14:36.54
31.59
1450m ?2? 15:08.13
30.75
3 7 BOYLE Lauren NZL 0.75 15:44.71 8.18 OC
50m ?6? 29.47
31.22
100m ?3? 1:00.69
31.71
150m ?3? 1:32.40
31.49
200m ?3? 2:03.89
32.07
250m ?3? 2:35.96
31.49
300m ?3? 3:07.45
31.91
350m ?3? 3:39.36
31.75
400m ?3? 4:11.11
31.85
450m ?3? 4:42.96
31.74
500m ?3? 5:14.70
31.59
550m ?3? 5:46.29
31.42
600m ?3? 6:17.71
31.62
650m ?3? 6:49.33
31.38
700m ?3? 7:20.71
31.47
750m ?3? 7:52.18
31.28
800m ?3? 8:23.46
31.51
850m ?3? 8:54.97
31.08
900m ?3? 9:26.05
31.38
950m ?3? 9:57.43
31.37
1000m ?3? 10:28.80
31.74
1050m ?3? 11:00.54
31.32
1100m ?3? 11:31.86
31.74
1150m ?3? 12:03.60
31.21
1200m ?3? 12:34.81
31.76
1250m ?3? 13:06.57
31.34
1300m ?3? 13:37.91
31.91
1350m ?3? 14:09.82
31.82
1400m ?3? 14:41.64
32.11
1450m ?3? 15:13.75
30.96
4 6 BELMONTE GARCIA Mireia ESP 0.75 15:58.83 22.30
50m ?5? 29.33
31.44
100m ?4? 1:00.77
32.14
150m ?7? 1:32.91
31.46
200m ?4? 2:04.37
31.99
250m ?5? 2:36.36
31.72
300m ?4? 3:08.08
31.84
350m ?4? 3:39.92
31.63
400m ?4? 4:11.55
31.96
450m ?4? 4:43.51
31.53
500m ?4? 5:15.04
32.08
550m ?4? 5:47.12
31.38
600m ?4? 6:18.50
31.80
650m ?4? 6:50.30
31.49
700m ?4? 7:21.79
32.05
750m ?4? 7:53.84
31.84
800m ?4? 8:25.68
32.33
850m ?4? 8:58.01
32.17
900m ?4? 9:30.18
32.42
950m ?4? 10:02.60
32.37
1000m ?4? 10:34.97
32.46
1050m ?4? 11:07.43
32.28
1100m ?4? 11:39.71
32.41
1150m ?4? 12:12.12
32.77
1200m ?4? 12:44.89
32.60
1250m ?4? 13:17.49
32.31
1300m ?4? 13:49.80
32.78
1350m ?4? 14:22.58
32.56
1400m ?4? 14:55.14
32.55
1450m ?4? 15:27.69
31.14
5 8 XU Danlu CHN 0.68 16:00.44 23.91
50m ?7? 29.53
31.70
100m ?7? 1:01.23
32.65
150m ?8? 1:33.88
32.06
200m ?8? 2:05.94
32.78
250m ?8? 2:38.72
31.97
300m ?8? 3:10.69
32.58
350m ?8? 3:43.27
32.15
400m ?8? 4:15.42
32.67
450m ?8? 4:48.09
31.83
500m ?8? 5:19.92
32.57
550m ?8? 5:52.49
31.90
600m ?8? 6:24.39
32.73
650m ?8? 6:57.12
31.87
700m ?8? 7:28.99
32.50
750m ?8? 8:01.49
31.76
800m ?8? 8:33.25
32.30
850m ?7? 9:05.55
31.86
900m ?7? 9:37.41
32.41
950m ?7? 10:09.82
32.03
1000m ?7? 10:41.85
32.40
1050m ?7? 11:14.25
32.02
1100m ?7? 11:46.27
32.38
1150m ?7? 12:18.65
32.06
1200m ?7? 12:50.71
32.11
1250m ?7? 13:22.82
32.00
1300m ?6? 13:54.82
32.39
1350m ?6? 14:27.21
31.88
1400m ?6? 14:59.09
31.78
1450m ?6? 15:30.87
29.57
6 3 KOBRICH SCHIMPL Kristel CHI 0.79 16:01.94 25.41
50m ?8? 29.74
31.62
100m ?8? 1:01.36
31.37
150m ?4? 1:32.73
32.01
200m ?5? 2:04.74
31.60
250m ?4? 2:36.34
32.09
300m ?5? 3:08.43
31.59
350m ?5? 3:40.02
32.15
400m ?5? 4:12.17
31.78
450m ?5? 4:43.95
32.06
500m ?5? 5:16.01
31.72
550m ?5? 5:47.73
32.09
600m ?5? 6:19.82
32.02
650m ?5? 6:51.84
32.06
700m ?5? 7:23.90
32.00
750m ?5? 7:55.90
32.30
800m ?5? 8:28.20
32.11
850m ?5? 9:00.31
32.40
900m ?5? 9:32.71
32.15
950m ?5? 10:04.86
32.41
1000m ?5? 10:37.27
32.14
1050m ?5? 11:09.41
32.38
1100m ?5? 11:41.79
32.30
1150m ?5? 12:14.09
32.49
1200m ?5? 12:46.58
32.30
1250m ?5? 13:18.88
32.65
1300m ?5? 13:51.53
32.20
1350m ?5? 14:23.73
32.92
1400m ?5? 14:56.65
32.65
1450m ?5? 15:29.30
32.64
7 2 KAPAS Boglarka HUN 0.71 16:06.89 30.36
50m ?4? 29.27
31.88
100m ?6? 1:01.15
31.72
150m ?6? 1:32.87
32.29
200m ?6? 2:05.16
31.90
250m ?6? 2:37.06
32.00
300m ?6? 3:09.06
31.64
350m ?6? 3:40.70
32.33
400m ?6? 4:13.03
31.89
450m ?6? 4:44.92
32.00
500m ?6? 5:16.92
31.64
550m ?6? 5:48.56
31.98
600m ?6? 6:20.54
31.80
650m ?6? 6:52.34
32.36
700m ?6? 7:24.70
31.90
750m ?6? 7:56.60
32.40
800m ?6? 8:29.00
32.12
850m ?6? 9:01.12
32.47
900m ?6? 9:33.59
32.43
950m ?6? 10:06.02
32.47
1000m ?6? 10:38.49
32.55
1050m ?6? 11:11.04
32.86
1100m ?6? 11:43.90
32.57
1150m ?6? 12:16.47
33.17
1200m ?6? 12:49.64
32.66
1250m ?6? 13:22.30
33.24
1300m ?7? 13:55.54
32.64
1350m ?7? 14:28.18
33.50
1400m ?7? 15:01.68
32.84
1450m ?7? 15:34.52
32.37
8 1 SUTTON Chloe USA 0.72 16:09.65 33.12
50m ?3? 29.18
31.86
100m ?5? 1:01.04
31.76
150m ?5? 1:32.80
32.59
200m ?7? 2:05.39
31.88
250m ?7? 2:37.27
32.32
300m ?7? 3:09.59
31.88
350m ?7? 3:41.47
32.21
400m ?7? 4:13.68
32.05
450m ?7? 4:45.73
32.45
500m ?7? 5:18.18
32.01
550m ?7? 5:50.19
32.51
600m ?7? 6:22.70
32.18
650m ?7? 6:54.88
32.71
700m ?7? 7:27.59
32.43
750m ?7? 8:00.02
33.01
800m ?7? 8:33.03
32.53
850m ?8? 9:05.56
32.84
900m ?8? 9:38.40
32.32
950m ?8? 10:10.72
32.86
1000m ?8? 10:43.58
32.50
1050m ?8? 11:16.08
33.00
1100m ?8? 11:49.08
32.57
1150m ?8? 12:21.65
32.88
1200m ?8? 12:54.53
32.90
1250m ?8? 13:27.43
32.98
1300m ?8? 14:00.41
32.69
1350m ?8? 14:33.10
33.05
1400m ?8? 15:06.15
32.52
1450m ?8? 15:38.67
30.98
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