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添加处理NBA比赛的部分
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‎10. something interesting/10.03 play with nba games.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# 用 Python 获取 NBA 的比赛的数据"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"from IPython.display import IFrame"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"先来看看我们要实现什么样的效果："
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/html": [
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"\n",
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" <iframe\n",
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" width=\"700\"\n",
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" height=\"400\"\n",
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" src=\"http://stats.nba.com/movement/#!/?GameID=0041400235&amp;GameEventID=308\"\n",
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" frameborder=\"0\"\n",
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" allowfullscreen\n",
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" ></iframe>\n",
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" "
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],
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"text/plain": [
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"<IPython.lib.display.IFrame at 0x3bb8ac8>"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"IFrame('http://stats.nba.com/movement/#!/?GameID=0041400235&amp;GameEventID=308',\n",
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" width=700, height=400)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.9"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}

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