I have found return numpy array as image from fastapi but I am still struggling to show my image which just appears as a white square. I read an array into io.B
I am getting errors while generating maps of h3 moments in python for an image file called "image_test". The error apparently is for the shape of the values tha
If I have two arrays that are identical except for a shift: import numpy as np from scipy import signal x = [4,4,4,4,6,8,10,8,6,4,4,4,4,4,4,4,4,4,4,4,4,4,4] y =
I have a few dataframes that I'm merging based on known, populated fields. The resulting dataframe will always contain a set of columns, but may or may not have
I am trying to loop through my table and to create 3 different figures. This is my code .... tab_stat = pd.read_table('test.txt', delim_whitespace=True) radius
I am stuck with this code written in py2 on psychopy. I am not an expert with coding. I am trying to run the function "analyzeStaircases(stairs, stairInfo['Aver
Consider the following vector: import numpy as np u = np.random.randn(5) print(u) [-0.30153275 -1.48236907 -1.09808763 -0.10543421 -1.49627068] When we print
Working with human labeled data, I have four cases that cover correct behavior, but it is possible for annotators to miss the need to provide a value. When this
I am looking to build a numpy extension module which declares a new structured dtype and provides the necessary inner ufunc loops to allow built-in math operati
So my aunt plays this now popular mobile game, shown in the picture below. She got stuck on a certain level and asked me if I can solve it. Knowing that I'm not
I try to stack three one dimension array. a and b are int that can be work as index and c is float. After I stack this three with axis=0, the a and b data chang
How do I shuffle the elements of tf.data.Dataset within a certain range. Having an input array, with shape = (10,), in the first 5 elements would be shuffled wi
I am working on a seq2seq machine learning problem with Conv1D and LSTM, to do this I must produce a tensor input of the shape samples, timesteps, features. Asi
I would like to generate a binary array (values are 1s and 0s) filled with rectangular regions. Something like this: a = np.array([0, 1, 1, 0, 0] [
Want to add logic that calculates and outputs truckloads able to be built each day. Still want this broken out by ship-to party (so 1 ship-to party per shipment
My Django project gives a download interface as follows: def download_item_vector(request): return HttpResponse(np.load('item_vector.npy')) I want to retur
I am writing a simple piece of code for a physics assignment where we are supposed to model a water molecule as a collection of charged particles. I am supposed
I understand that eigenvectors are only defined up to a multiplicative constant. As far as I see all numpy algorithms (e.g. linalg.eig, linalg.eigh, linalg.svd)
I am trying to merge some depth data frames, captured with a Intel realsense depth camera. The depth data frames comes in the following format: dataframe1 = [[0
I got this error file while following this tutorial: https://www.youtube.com/watch?v=yqkISICHH-U So far I have created a training dataset to feed into Tensorflo