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week 10 matplotlib
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week10_exercise_matplotlib.ipynb

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week10_matplotlib.ipynb

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week3_exercise.ipynb

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.1"
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"version": "3.7.6"
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}
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},
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"nbformat": 4,

week8_Pandas_2.ipynb

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"source": [
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"# Find the safest brand for each vehicle type (one line)\n",
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"\n",
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"cars.groupby('brand').accidents.agg(s=np.sum, m=np.mean)"
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"cars.groupby('brand').accidents.agg(s=np.sum, m=np.mean)dirty_brands.unstack()dirty_brands.unstack()"
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]
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},
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{

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