Python - Check Zero Floating Point Value in Numpy Array

Question

How to check for a given NumPy array of any dimension (1D, 2D, or 3D) if it contains any zero floating point value (0.0). For example, this 2D array:

[[0.07181809 0.76638862 0.0]
 [0.93566192 0.13161751 0.85768675]]

Is there any function that check for above condition and return True. Thanks for the help.

It turns out that checking with 0 in arr is fastest of 3 method listed here. not np.all(arr)` and np.isclose(arr, 0).any() takes more time than simple in. — Poojan
– Poojan, Commented Feb 4, 2019 at 2:32

senorleo · Accepted Answer · 2019-02-04 02:00:00Z

1

You can use :

my_numpy_array = numpy.array(
  [[0.07181809, 0.76638862, 0.0],
   [0.93566192, 0.13161751, 0.85768675]]
)
0.0 in my_numpy_array

answered Feb 4, 2019 at 2:00

senorleo

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