I have an list of coefficients that correspond to a polynomial expression, ie: [1,2,0] corresponds to x^2 + 2x + 0.
I would like to put an arbitrary length array of ...
Oh my word I'm a fool.
I was simply omitting the second and third arguments when calling the function.
Like a fool.
Because that's what I am.
Original silly question follows:
This seems like it must ...
I'm writing code to optimize quantities that depend on a variable number of parameters. For the optimization I would like to apply index selecting functions such as numpy.argmax and numpy.argmin ...
I'm new to python, and I have the following problem: I am trying to minimize a python function that has a numpy array as one of its arguments. When I use ...
My understanding is that 1-D arrays in numpy can be interpreted as either a column-oriented vector or a row-oriented vector. For instance, a 1-D array with shape (8,) can be ...
I know there must be a simple method to do this. I have implemented this function for calculating a checksum based on a ones complement addition: def complement_ones_checksum(ints): """ Returns a complements one checksum based on a specified numpy.array of dtype=uint16 """ result = 0x0 for i in ints: result += i result = (result + (result >16)) & 0xFFFF return ...