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pandas cookbook Chapter 1
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pandas Cookbook Practice Chapter 1.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"##Summary"
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"##Combine them all..."
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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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"To read, select, and plot data, the following code works efficiently:"
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"To read, select, and plot data, the following code works:"
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]
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},
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{
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"df = pd.read_csv('data/bikes.csv', sep=';', encoding='latin1', parse_dates=['Date'], dayfirst=True, index_col='Date')\n",
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"df['Berri 1'].plot()"
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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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"##Summary\n",
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"+ `pd.read_csv()`\n",
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"+ `df['index']`\n",
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"+ `df.plot()`"
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]
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}
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],
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"metadata": {

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