I have a Pandas DataFrame like below with ID and Target variable (for machine learning model). My DataFrame is really large and unbalanced. I need to make sampling on my DataFrame because it is really large Balancing the DataFrame looks like this: 99.60% – 0 0.40 % – 1 ID TARGET 111 1 222 1 333 0 444 1 …

# Tag: sampling

## Interpolating measured sine wave using python

I have 2 sampled sine waves obtained as a measurement from a DSO. The sampling rate of the DSO is 160 GSa/s and my signal is 60 GHz. I need to find the phase difference between the two sine waves. Both are the same frequency. However, the sampling rate is not enough to accurately determine the phase. Is there any

## randomly choose different sets in numpy?

I am trying to randomly select a set of integers in numpy and am encountering a strange error. If I define a numpy array with two sets of different sizes, np.random.choice chooses between them without issue: However, once the numpy array are sets of the same size, I get a value error: Could be user error, but I’ve checked several

## Creating overlapping, square patches for rectangular images

Given be a rectangular image img and patch s. Now I would like to cover the whole image with square patches of side length s, so that every pixel in img is in at least one patch using the minimal number of patches. Furthermore I want neighboured patches to have as little overlap as possible. Thus far: I have included