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Start nowbooks = 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(=(10, 6))
subplot = plt.subplot()
subplot.plot(books['romance'])
subplot.plot(books['fantasy'])
subplot.plot(books['thriller'])
plt.show()
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Python Basics
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Data Processing with Python
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Learn Programming with Python
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Data Processing with Python
Want more after having learned the basics of Python? Then, this mini track is for you! Want to process data in various file formats with Python? Look no further! We’ll show you how to work in Python with the most common file formats such as CSV, JSON, and others.
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Introduction to Python for Data Science
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Working with Files and Directories in Python
Would you like to learn how to work with files and directories in Python? Check out this interactive course!
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Built-in Algorithms in Python
Learn Python built-in algorithms and functions to write optimized applications in a shorter amount of time.
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