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Getting help

You'll need to use the .astype() array method we covered in the first chapter of this course for the next exercise. If you forget exactly how .astype() works, you could check out the course slides or NumPy's documentation on numpy.org. There is, however, an even faster way to jog your memory…

numpy is loaded as np.

This exercise is part of the course

Introduction to NumPy

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Exercise instructions

  • Return NumPy's documentation text for .astype().

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Display the documentation for .astype()
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