If you’re using numpy for your arrays, you can also use
x = x[numpy.logical_not(numpy.isnan(x))]
Equivalently
x = x[~numpy.isnan(x)]
[Thanks to chbrown for the added shorthand]
Explanation
The inner function, numpy.isnan
returns a boolean/logical array which has the value True
everywhere that x
is not-a-number. As we want the opposite, we use the logical-not operator, ~
to get an array with True
s everywhere that x
is a valid number.
Lastly we use this logical array to index into the original array x
, to retrieve just the non-NaN values.
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