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NumPy ufuncs - Rouning Decimals

There are primarily five ways of rounding off decimals in NumPy

Rounding Decimals

There are primarily five ways of rounding off decimals in NumPy:

  • truncation
  • fix
  • rounding
  • floor
  • ceil

    • Truncation

    Remove the decimals, and return the float number closest to zero. Use the trunc() and fix() functions.

    Example

    Truncate elements of following array:

    import numpy as np

    arr = np.trunc([-3.1666, 3.6667])

    print(arr)

    Example

    Same example, using fix():

    import numpy as np

    arr = np.fix([-3.1666, 3.6667])

    print(arr)

    Rounding

    The around() function increments preceding digit or decimal by 1 if >=5 else do nothing.

    E.g. round off to 1 decimal point, 3.16666 is 3.2

    Example

    Round off 3.1666 to 2 decimal places:

    import numpy as np

    arr = np.around(3.1666, 2)

    print(arr)

    Floor

    The floor() function rounds off decimal to nearest lower integer.

    E.g. floor of 3.166 is 3.

    Example

    Floor the elements of following array:

    import numpy as np

    arr = np.floor([-3.1666, 3.6667])

    print(arr)

    Ceil

    The ceil() function rounds off decimal to nearest upper integer.

    E.g. ceil of 3.166 is 4.

    Example

    Ceil the elements of following array:

    import numpy as np

    arr = np.ceil([-3.1666, 3.6667])

    print(arr)

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