Runtime warning in power of np.array

Please let me know as I was at a loss because the power of the 2D array of numpy (power by element) could not be successful.

Environment:
Python: 3.7.5
Number: 1.17.4

If you try to multiply the float32 type 2D np.array (which contains positive or negative real values, some NaNs) by 1.514, both `** and np.power()` will get the following error and return np.array containing values that are not 1.514 multiplied by the element.

RuntimeWarning: invalid value encountered in power

The foo is a float32 type, obtained in NetCDF format from a weather data distribution server.

If you take out one element and multiply it by 1.514, you will also get Runtime warning in the following description.

 foo[0][0]** 1.514
(foo: 2D np.array)

However, creating an array var in which elements are extracted and re-stored one by one in a loop using the following method, and var**1.514 returns a normal value.

 var=np.zeros(len(lat),len(lon))
for i in range (len(lat)) :
    for jin range (len(lon)) :
        var[i][j]=foo[i][j]
(foo is the original np.array)

This method will solve the problem for now, but it's creepy, so could you tell me the cause?
Thank you for your cooperation.