Преобразование числового списка Python в массив чисел с плавающей запятой

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

gauss_matrix = [list of 2025 float numbers]
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)])

Начинается ли это с строки 0, проходит через столбцы 0-44. Затем начните со строки 2, пропустите столбцы 0-44 и так далее?

Разрешенный 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)