Skip to content

Instantly share code, notes, and snippets.

@swkm
Last active May 16, 2017 12:04
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save swkm/46b3eafd5945bef545c3d644d3304632 to your computer and use it in GitHub Desktop.
Save swkm/46b3eafd5945bef545c3d644d3304632 to your computer and use it in GitHub Desktop.
Titanicデータの確認
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# ライブラリのインポート\n",
"import numpy"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# titanicデータを読み込む\n",
"titanic = numpy.loadtxt('titanic.dat.txt', dtype='i8')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2201\n"
]
}
],
"source": [
"# 人数を数える\n",
"print(len(titanic))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# 10人を抜き出す\n",
"numpy.random.seed(64)\n",
"titanic_10keys = numpy.random.choice(len(titanic), 10, replace=False)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1639 128 569 955 1136 394 1260 1325 429 1411]\n"
]
}
],
"source": [
"# 抜き出した10人の番号の確認\n",
"print(titanic_10keys)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ID,Class(等級)\n",
"0,0\n",
"1,1\n",
"2,2\n",
"3,3\n",
"4,3\n",
"5,2\n",
"6,3\n",
"7,0\n",
"8,2\n",
"9,0\n"
]
}
],
"source": [
"# 1変数データの表示\n",
"# 変数1: Class(乗船していた座席の等級)\n",
"print('ID,Class(等級)')\n",
"for (i, v) in enumerate(titanic[titanic_10keys, 0]):\n",
" print('{0},{1}'.format(i, v))"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ID,Class(等級),Age(大まかな年齢)\n",
"0,0,1\n",
"1,1,1\n",
"2,2,1\n",
"3,3,1\n",
"4,3,1\n",
"5,2,1\n",
"6,3,0\n",
"7,0,1\n",
"8,2,1\n",
"9,0,1\n"
]
}
],
"source": [
"# 2変数データの表示\n",
"# 変数1: Class(乗船していた座席の等級)\n",
"# 変数2: Age(大まかな年齢)\n",
"print('ID,Class(等級),Age(大まかな年齢)')\n",
"for (i, v) in enumerate(titanic[titanic_10keys, 0:2]):\n",
" print('{0},{1},{2}'.format(i, v[0], v[1]))"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ID,Class(等級),Age(大まかな年齢),Sex(性別)\n",
"0,0,1,1\n",
"1,1,1,1\n",
"2,2,1,0\n",
"3,3,1,1\n",
"4,3,1,0\n",
"5,2,1,1\n",
"6,3,0,1\n",
"7,0,1,1\n",
"8,2,1,1\n",
"9,0,1,1\n"
]
}
],
"source": [
"# 3変数データの表示\n",
"# 変数1: Class(乗船していた座席の等級)\n",
"# 変数2: Age(大まかな年齢)\n",
"# 変数3: Sex(性別)\n",
"print('ID,Class(等級),Age(大まかな年齢),Sex(性別)')\n",
"for (i, v) in enumerate(titanic[titanic_10keys, 0:3]):\n",
" print('{0},{1},{2},{3}'.format(i, v[0], v[1], v[2]))"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ID,Class(等級),Age(大まかな年齢),Sex(性別),Survived(生存?)\n",
"0,0,1,1,0\n",
"1,1,1,1,0\n",
"2,2,1,0,1\n",
"3,3,1,1,0\n",
"4,3,1,0,1\n",
"5,2,1,1,0\n",
"6,3,0,1,0\n",
"7,0,1,1,1\n",
"8,2,1,1,0\n",
"9,0,1,1,1\n"
]
}
],
"source": [
"# 4変数データの表示\n",
"# 変数1: Class(乗船していた座席の等級)\n",
"# 変数2: Age(大まかな年齢)\n",
"# 変数3: Sex(性別)\n",
"# 変数4: Survived(生存?)\n",
"print('ID,Class(等級),Age(大まかな年齢),Sex(性別),Survived(生存?)')\n",
"for (i, v) in enumerate(titanic[titanic_10keys, 0:4]):\n",
" print('{0},{1},{2},{3},{4}'.format(i, v[0], v[1], v[2], v[3]))"
]
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [conda root]",
"language": "python",
"name": "conda-root-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment