NumPy | fmod method
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fmod(~) method computes the remainder element-wise given two arrays.
What differentiates this
mod(~) from NumPy's
fmod(~) is confusingly not whether or not one is for floating numbers; they are both capable of parsing floating numbers. The defining difference is how they handle negative numbers - take a look at the examples below for clarification.
Numpy array |
Instead of creating a new array, you can place the computed result into the array specified by
Values that are flagged as False will be ignored, that is, their original value will be uninitialized. If you specified the out parameter, the behavior is slightly different - the original value will be kept intact.
A scalar is returned if
x2 are scalars, otherwise a NumPy array is returned.
A common divisor
x = [3, 8, -7]np.fmod(x, 3)array([ 0, 2, -1])
Here, notice how
fmod(-7,3)=-1, which is different from Python's standard % behaviour, which gives you
-7%3=2. In fact, NumPy's
fmod(~) method follows the main C library's
x = [5, 8]np.mod(x, [2,3])array([1, 2])
Here, we're simply performing