Преобразование числового списка Python в массив чисел с плавающей запятой ⇐ Python

[Anonymous]

У меня есть список чисел, которые необходимо преобразовать в числа с плавающей запятой в массиве 45 x 45.

gauss_matrix =

• mat_template = np.zeros([45, 45])
  for rows in np.arange(45):
  for columns in np.arange(45):
  mat_template[rows, columns] = float(gauss_matrix[np.arange(2025)])
  
  
  Это начинается со строки 0, проходит по столбцам 0–44. Затем начните со строки 2, пройдите по столбцам 0–44 и так далее?
  
  Решенный код: (спасибо за помощь!)
  with open('gaussfilter.csv', 'r+') as gauss: # Let's me read and write gaussfilter.csv
  
  GaussFilterData = gauss.readlines() # Reads the lines of the csv file
  # print("GaussFilterData: \n", GaussFilterData)
  
  GaussList = [] # Empty list which will be used to append values to from the csv file
  # print("GaussList 1: \n", GaussMatrix)
  
  for lines in GaussFilterData: # Loops through each row of data in gaussfilter.csv
  # print("lines: \n", lines)
  for row in np.arange(45): # Looping through each row and splitting up the list by commas, while converting each value to a float and not a string
  GaussList.append(float(lines.split(',')[row])) # Appending each row to GaussList
  
  # print("\nGaussList 2: \n", GaussList)
  
  # Making the array of values from GaussList
  gauss = np.zeros([45, 45]) # Matrix of zeros, the zeros are placeholders for the values in GaussList
  # print("gauss: \n", gauss)
  
  Counter = -1 # Counter has to start at -1 so that it begins at 0 when referring to row 0 and column 0
  for rows in np.arange(45): # Loop through rows 0 - 44
  for columns in np.arange(45): # As we are looping through row 0, loop through all 45 columns
  Counter = Counter + 1 # Counter keeps track of the number of cells in the matrix (2025)
  gauss[rows][columns] = GaussList[Counter]
  
  print("gauss array: \n", gauss)
  
  
  Подробнее здесь: https://stackoverflow.com/questions/498 ... y-of-float