array 2d to 1d

 int array[width * height];

 int SetElement(int row, int col, int value)
 {
    array[width * row + col] = value;  
 }

# Python code to demonstrate 
# flattening a 2d numpy array 
# into 1d array 
  
import numpy as np 
  
ini_array1 = np.array([[1, 2, 3], [2, 4, 5], [1, 2, 3]]) 
  
# printing initial arrays 
print("initial array", str(ini_array1)) 
  
# Multiplying arrays 
result = ini_array1.flatten() 
  
# printing result 
print("New resulting array: ", result) 

import numpy as np 

# 1D array 
one_dim_arr = np.array([1, 2, 3, 4, 5, 6])

# To convert to 2D array 
# we can use the np.newaxis to increase the dimesions in a array
# Using np.newaxis will increase the dimensions of your array by one dimension when used once. 

two_dim_arr = one_dim_arr[np.newaxis, :]
print(two_dim_arr)
# inserting a axis at the first index creates a row vector

print()

# for column vector, insert axis at the second index
two_dim_arr = one_dim_arr[:,np.newaxis]
print(two_dim_arr)

print()

# we can also expand an array by inserting a new axis at a specified position with np.expand_dims.
two_dim_arr = np.expand_dims(one_dim_arr,axis = 0)
print(two_dim_arr)

print()

two_dim_arr = np.expand_dims(one_dim_arr,axis = 1)
print(two_dim_arr)

import numpy as np 

# 1D array 
one_dim_arr = np.array([1, 2, 3, 4, 5, 6])

# to convert to 2D array
# we can use the np.ndarray.reshape(shape) function 
# here shape is given by two integers seperated by a comma
# the two integers specify m,n for the new matrix 
# ensure that the matrix that you are trying to generate
# has a size that meets the number of elements in the 1D array. 
# for that make sure that 
# m * n = number of elements in the one dimentional array 

two_dim_arr = one_dim_arr.reshape(1, 6)

#which returns a 2D array
print(two_dim_arr)


# confirmed by the array.ndim attribute
print(two_dim_arr.ndim)

# you can even specify one of the dimensions as unknown by passing -1
# numpy will infer the length using the array and remaining dimensions

two_dim_arr = one_dim_arr.reshape(1,-1)