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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": true | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"import pandas as pd" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"url = \"http://www.nasdaq.com/screening/companies-by-industry.aspx?exchange=NASDAQ&render=download\"\n", | ||
"data = pd.read_csv(url)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"data.head()" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python [default]", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"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 | ||
} |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"%matplotlib inline\n", | ||
"# https://docs.scipy.org/doc/numpy/reference/generated/numpy.random.normal.html\n", | ||
"import matplotlib.pyplot as plt\n", | ||
"import numpy as np\n", | ||
"\n", | ||
"duration = 100\n", | ||
"mu, sigma = 0.0, 1.0\n", | ||
"\n", | ||
"x = range(duration)\n", | ||
"\n", | ||
"s = np.random.normal(mu, sigma, duration)\n", | ||
"y = s.cumsum()\n", | ||
"\n", | ||
"plt.plot(x, y)\n", | ||
"plt.xlabel(\"Time\")\n", | ||
"plt.ylabel(\"Value\")\n", | ||
"plt.savefig(\"RandomGraph.png\")\n", | ||
"plt.show()" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"anaconda-cloud": {}, | ||
"kernelspec": { | ||
"display_name": "Python [default]", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"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 | ||
} |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"import quandl\n", | ||
"data = quandl.get(\"WIKI/TSLA\")\n", | ||
"type(data)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": true | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# 顯示最後幾筆資料\n", | ||
"data.tail()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# 重新排序後顯示前面幾筆資料\n", | ||
"data.sort_index(ascending=False).head()" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"anaconda-cloud": {}, | ||
"kernelspec": { | ||
"display_name": "Python [default]", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"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 | ||
} |
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