I was motivated to use pandas rolling feature to perform a rolling multi-factor regression (This question is NOT about rolling multi-factor regression). I expected that I’d be able to use apply after a df.rolling(2) and take the resulting pd.DataFrame extract the ndarray with .values and perform the requisite matrix multiplication. It didn’t work out that way.
Given this CSV file:
I was experimenting with numpy arrays and created a numpy array of strings:
I’m using Python 2.7 and OpenCV 2.4.9.
What is the fastest FFT implementation in Python?
I have a periodic function of period T and would like to know how to obtain the list of the Fourier coefficients. I tried using fft module from numpy but it seems more dedicated to Fourier transforms than series.
Maybe it a lack of mathematical knowledge, but I can’t see how to calculate the Fourier coefficients from fft.
Has anyone implemented type hinting for the specific numpy.ndarray class?
It appears that I have data in the format of a list of NumPy arrays (type() = np.ndarray):
Update: I’ve done a full write-up of the way I found to do this on my blog at http://blog.rtwilson.com/producing-polar-contour-plots-with-matplotlib/ – you may want to check there first.
I’ve been looking for ways to easily multithread some of my simple analysis code since I had noticed numpy it was only using one core, despite the fact that it is supposed to be multithreaded.