I am dealing with large numpy arrays and I am trying out memmap as it could help. The above works fine and it creates a file on my hard drive of ab ...
I am dealing with large numpy arrays and I am trying out memmap as it could help. The above works fine and it creates a file on my hard drive of ab ...
I have a large 2D Numpy array like arr = np.random.randint(0,255,(243327132, 3), dtype=np.uint8). I'm trying to get the unique rows of the array. Usi ...
While trying to do ndimage.convolve on big numpy.memmap, exception occurs: Exception has occurred: _ArrayMemoryError Unable to allocate 56.0 GiB for ...
Is it possible to save numpy arrays on disk in boolean format where it takes only 1 bit per element? This answer suggests to use packbits and unpackbi ...
Context I am trying to load multiple .npy files containing 2D arrays into one big 2D array to process it by chunk later.All of this data is bigger th ...
I have implemented a file-backed HashTable using numpy.memmap. It appears to be functioning correctly, however, I notice that on Linux both KSysGuard ...
I have A Large dataset (> 62 GiB) after processing saved as two NumPy.memmap arrays one of the data and the other for the labels the dataset has th ...
I have one big numpy array A of shape (2_000_000, 2000) of dtype float64, which takes 32 GB. (or alternatively the same data split into 10 arrays of ...
I start by creating a memmap, loading some random numbers, and deleting it in order to save it to file: Then when I go to load it again, I just get ...
I want to investigate the memory usage of a python program that uses numpy.memmap to access data from large files. Is there a way to check the size in ...
I need to load a time-series dataset to train a network. The dataset was split into many chunks train_x_0.npy, train_x_1.npy, ..., train_x_40.npy (41 ...
I'm trying to implement the numpy.memmap method inside a generator for training a neural network using keras in order to not exceed the memory RAM lim ...
Good day to all. I happen to have a very large .mha file on my HDD (9.7 Gb) which is a 3D image of a brain. I know this image's shape and for the nee ...
I have a large data file (N,4) which I am mapping line-by-line. My files are 10 GBs, a simplistic implementation is given below. Though the following ...
I have 2 saved .npy files: X_train is cats and dogs images (cats being in 1st half and dogs in 2nd half, unshuffled) and is mapped with Y_train as ...
I know there already exists a similar question, which has not been answered. I have a very large numpy array saved in a npz file. I don't want it to ...
I am trying to read czi format images, But because they need a lot of memmory I tried reading them in memmap file. Here is the code I used> Now ...
I want to load a .npy from google storage (gs://project/file.npy) into my google ml-job as training data. Since the file is +10GB big, I want to use t ...
I'm dealing with large dense square matrices of size NxN ~(100k x 100k) that are too large to fit into memory. After doing some research, I've found ...
I have a numpy-memmap matrix S of size 12 GB. And I'm trying to argsort each row. To do that I have defined another memmap array first_k to save the r ...