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"
        class="froala-editor-img fr-fil fr-view fr-dib" id="klczi1akmk" alt="Free Course Python Basics. Part1 - Slide" tabindex="600"></div>
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books = pd.read_csv('books.csv')>

figure = plt.figure(figsize=(10, 6))

subplot = plt.subplot()

subplot.plot(books['romance'])

subplot.plot(books['fantasy'])

subplot.plot(books['thriller'])

plt.show()

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books = pd.read_csv('books.csv')>

figure = plt.figure(figsize=(10, 6))

subplot = plt.subplot()

subplot.plot(books['romance'])

subplot.plot(books['fantasy'])

subplot.plot(books['thriller'])

plt.show()


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