numpy.ma.round_#

ma.round_(a, decimals=0, out=None)[source]#

Return a copy of a, rounded to ‘decimals’ places.

When ‘decimals’ is negative, it specifies the number of positions to the left of the decimal point. The real and imaginary parts of complex numbers are rounded separately. Nothing is done if the array is not of float type and ‘decimals’ is greater than or equal to 0.

Parameters:
decimalsint

Number of decimals to round to. May be negative.

outarray_like

Existing array to use for output. If not given, returns a default copy of a.

Notes

If out is given and does not have a mask attribute, the mask of a is lost!

Examples

>>> import numpy as np
>>> import numpy.ma as ma
>>> x = [11.2, -3.973, 0.801, -1.41]
>>> mask = [0, 0, 0, 1]
>>> masked_x = ma.masked_array(x, mask)
>>> masked_x
masked_array(data=[11.2, -3.973, 0.801, --],
             mask=[False, False, False, True],
    fill_value=1e+20)
>>> ma.round_(masked_x)
masked_array(data=[11.0, -4.0, 1.0, --],
             mask=[False, False, False, True],
    fill_value=1e+20)
>>> ma.round(masked_x, decimals=1)
masked_array(data=[11.2, -4.0, 0.8, --],
             mask=[False, False, False, True],
    fill_value=1e+20)
>>> ma.round_(masked_x, decimals=-1)
masked_array(data=[10.0, -0.0, 0.0, --],
             mask=[False, False, False, True],
    fill_value=1e+20)
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