How do I read a file and turn it to a RAW bit string? For example I open an image that is 512kb, It reads the file byte by byte, and it spits out the long bit s
import pandas as pd import numpy as np zeros=np.zeros((6,6)) arra=np.array([zeros]) rownames=['A','B','C','D','E','F'] colnames=[['one','tow','three','four','f
I'm trying to set up Pycharm with python 3.9.10 under MacOS Monterrey, but when I try to import numpy I got the following error, the same happens with Spyder. I
I have a data frame that looks like the one below: DF.head(20): time var1 var2 prob 12:30 10 12 85 12:31 15
I need to vectorise the following loop using Numpy for performance purposes: for example in client_local_dataset: X.append(example['image'].numpy()) Y
I was solving this question on SO and faced a few problems with the methods I was trying. OP has a list which looks like this, a = [[[100, 90, 80, 255],
import numpy as np import scipy.integrate as integrate time = np.arange(0.0, 1, 0.0001) test = np.sin(time) test2 = integrate.quad(test,0,0.01) I set up ti
I have coordinates (lat, lon) in a meshgrid, and data asociated with each "point". I want to export into a .csv and have each point asociated with the data i wa
Use cv2 to process PNG image, I want some areas to be transparent. change point [0, 0, 0, 255] to [0, 0, 0, 0]. for example, # a is ndarray(880, 1330, 4) a = [[
How do I fit two unproportional arrays to a regression model? Is it possible to resize/reshape one without loosing the data? I used the code from here but my tr
Splitting Arrays for Test Train Essentially I am attempting to convert a pandas dataframe into numpy arrays so that I can run it through a Test/Train. My goal h
I would like to perform a sum of a 2D array over the second axis, but on a range which is variable. Not vectorised it is:` import numpy as np nx = 3 ny = 5 a =
The input is always strictly increasing. I could write this with a for loop and lots of if-else conditions, but is there some simple way? Here is an example: in
I have defined my own class which takes in any matrix and is defined in such a way to convert this matrix into three numpy arrays inside a parenthesis (which I
If I have a frequency table like below: ret < -1(%) -1 < ret < -0.5(%) -0.5 < ret < 0(%) 0 < ret < 0.5(%) 0.5 < ret <
I am fairly new to parallel computing and we have been assigned to implement a matrix algorithm in C for later use in python. The problem comes when my function
I'm planning to process some images using PyCharm. However, I find a bug and start to find the reason. Finally, I find that the images have grey values of True
Hello I want to create a new column from a given dataset (that I call here "df") with the first non-Nan for each row and closest from a given column For example
I'm using TensorFlow and would like to create a 1D tensor t1 from two smaller tensors t2 and t3, where len(t2) + len(t3) == len(t1) and a boolean mask which ind
I have two columns in pandas dataframe Latitude and Longitude. I am trying two combine them in single column LOCATION. If we see the data there are only two loc