How Can I Pretty-Print NumPy Arrays with Controlled Precision and Scientific Notation Suppression?

Pretty-Print NumPy Arrays with Precision and Suppression of Scientific Notation

When working with NumPy arrays of浮点数s, it's common to encounter readability issues due to extensive decimal places and the use of scientific notation. To address this, it's possible to format array printing in a manner similar to Python's formatted string operations.

Using numpy.set_printoptions

The numpy.set_printoptions function allows you to customize the precision and suppression of scientific notation for printed NumPy arrays.

To set the precision to, for example, three decimal places, use:

np.set_printoptions(precision=3)

To suppress scientific notation for small numbers, use:

np.set_printoptions(suppress=True)

Using the numpy.printoptions Context Manager

In NumPy version 1.15.0 and later, you can use the numpy.printoptions context manager to apply print options locally:

with np.printoptions(precision=3, suppress=True):
    print(x)

Custom Formatting with the formatter Parameter

To prevent zeros from being truncated from the end of floats, you can use the formatter parameter:

np.set_printoptions(formatter={'float': '{: 0.3f}'.format})

This allows you to specify a format function for each type. In this example, the format function preserves trailing zeros.

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