Removing nan values from an array
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 Trues 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.
Try this:
import mathprint [value for value in x if not math.isnan(value)]For more, read on List Comprehensions.