Category "numpy"

How to optimise reading multiple files containing bytes into a NumPy array

I currently have ~1000 files containing bytes. Each file contains a few thousand messages, each message has identical data types. I've tried several ways of rea

Is there unstack in NumPy?

There is np.stack in NumPy, but is there an opposite np.unstack same as tf.unstack?

How can I use scipy interp1d with N-D array for x without for loop

How can I use scipy.interpolate.interp1d when my x array is an N-D array, instead of a 1-D array, without using a loop? The function f from interp1d then needs

Render NumPy array in FastAPI

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

Getting error while generating heatmap in python:ValueError: Must pass 2-d input. shape=()

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

Signal correlation shift and lag correct only if arrays subtracted by mean

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 =

How to create a new columns based off of values of other columns which could contain #s or NaN?

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

Creating multiple figures out of for loop

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

ValueError: num must be 1 <= num <= 5, not 0 error

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

What is a rank 1 array in Numpy

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

If no conditions are met, how do I raise a value error with np.select?

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

C-API register a ufunc loop against builtin ufunc

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

Finding the shortest path to solve colored water sorting games

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

prevent numpy stack method change INT data to float

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

Tensorflow dataset element shuffle within specified range

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

How to remove 2d array from 3d array if it contains NA values

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

How to generate numpy arrays with random regions with rectangular shape with random size?

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] [

Add a new logic in pyhton

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

How to optimize the downlaod big file problem in Django?

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

Encountering divide by zero after a conditional preventing this

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