I've looked at the Sklearn stratified sampling docs as well as the pandas docs and also Stratified samples from Pandas and sklearn stratified sampling based on
Suppose that we have a 4-dimensional tensor, for instance import torch X = torch.rand(2, 3, 4, 4)
I've recently started to use Google Cloud Platform and I run my python scripts in Cloud Shell within Linux environment. By running one of the scripts that is u
I am having difficulties extracting misclassified images, I tried to use the following line of code: inc= np.nonzero(model.predict_classes(test_data).reshape(-
From this answer I know how to plot an image showing the array values. But how to show the i,j indices of each element of the array, instead of the values thems
Note: I know this is very similar to Use numpy.tensordot to replace a nested loop , only that the actual instance we are working on seemed different( I need qua
Suppose I have a numpy matrix like the following: array([array([ 0.0072427 , 0.00669255, 0.00785213, 0.00845336, 0.01042869]), array([ 0.00710799, 0.00
Suppose I have some numpy array (all elements are unique) that I want to sort in descending order. I need to find out which positions elements of initial array
In the model I want to launch, I have some variables which have to be initialized with specific values. I currently store these variables into numpy arrays but
I have the following code, which generate the mat file (in .npz format): import numpy as np x = np.arange(10) np.savez('mat',x) Now I want to append another
This is data in .csv format file generally we expect array/ list with [1,2,3,4] comma separated values which it seems that nothing happened in this case data =
Suppose I had two 2D sets of 1000 samples that look something like this: I'd like to have a metric for the amount of difference between the distributions and
import scipy.io.wavfile as wav import matplotlib.pyplot as plt import scipy sample_rate, X = wav.read("/Users/sinaastani/Downloads/partynextdoor.wav") X = scipy
I have a 2D matrix U of data that looks something like this: 0 0.5 0.1 0.3 0 nan 0.4 0.1 nan nan 0.2 nan The rows index corresponds to heigh
I have a function which writes an array to a compressed *.npz file: def save_a(file): np.savez_compressed(file, a=[[1, 2, 3]]) I want to make a function
Tried to solve it with : pip install -U numpy but it still does not work. That is what the console shows to me when I try to run the application : Runt
I have a system of two first order ODEs, which are nonlinear, and hence difficult to solve analytically in a closed form. I want to fit the numerical solution t
I have a conda env that I build from a requirements.yml file that I obtained from a classmate so we could work on a project together. I tried installing matplot
I want to write a program that monitors and tracks objects in 2 different videos using openCV in python (cv2). I would like to Merge the two videos into 1 vide
I am trying to fit 2d data using polynomial fit and find that after a certain degree of polynomials, numpy gives "Rank Warning". On the other hand, fitting usin