MinmaxScaler: Normalise a 4D array of input Question: I have a 4D array of input that I would like to normalise using MinMaxScaler. For simplicity, I give an example with the following array: A = np.array([ [[[0, 1, 2, 3], [3, 0, 1, 2], [2, 3, 0, 1], [1, 3, 2, 1], [1, 2, 3, …
How to normalize negative number in numpy array Question: I have video features as numpy files (.npy) with the shape of (15, 2048) with positive and negative value. I want to normalize it so that all the values are positive only. The numpy array is something like this: array([[-1.4004713 , 0.6517762 , -0.11610898, …, 0.3231497 …
How to keep the index of my pandas dataframe after normalazation. json Question: I get a json object from json loads. then I make a pd df Now I need to normalize a lot of nested information that hide’s in the only column [‘open’] but I want to keep the original index, the index has …
Parse deeply nested JSON file Question: I’m struggling to get the information I need with json_normalize. I’ve looked at the documentation and probably 10 examples of deeply nested JSON files, but I can’t quite grasp the context of the function well enough to extract the right info. I’m trying to build a data frame that …
Why Pytorch officially use mean=[0.485, 0.456, 0.406] and std=[0.229, 0.224, 0.225] to normalize images? Question: In this page (https://pytorch.org/vision/stable/models.html), it says that "All pre-trained models expect input images normalized in the same way, i.e. mini-batches of 3-channel RGB images of shape (3 x H x W), where H and W are expected to be at …
pandas.io.json.json_normalize with very nested json Question: I have been trying to normalize a very nested json file I will later analyze. What I am struggling with is how to go more than one level deep to normalize. I went through the pandas.io.json.json_normalize documentation, since it does exactly what I want it to do. I have …
Normalize numpy array columns in python Question: I have a numpy array where each cell of a specific row represents a value for a feature. I store all of them in an 100*4 matrix. A B C 1000 10 0.5 765 5 0.35 800 7 0.09 Any idea how I can normalize rows of this …
Normalize columns of pandas data frame Question: I have a dataframe in pandas where each column has different value range. For example: df: A B C 1000 10 0.5 765 5 0.35 800 7 0.09 Any idea how I can normalize the columns of this dataframe where each value is between 0 and 1? My …
