PYTHON

Python NumPy ndarray flatten Function Example

# welcome to softhunt.net
# Python program explaining
# numpy.ndarray.flatten() function

# importing numpy as np
import numpy as np


arr = np.array([[2, 3], [4, 5]])

softhunt = arr.flatten()

print( softhunt )

flat numpy array

>>> a = np.array([[1,2], [3,4]])
>>> a.flatten()
array([1, 2, 3, 4])

Flatten List in Python Using NumPy flat

import numpy as np
List = np.array([[1,2,3], [4,5,6], [7,8,9]])
print(list(List.flat))

Python NumPy ndarray flat function Example with 2d array

# welcome to softhunt.net
# Python Program illustrating
# working of ndarray.flat()

import numpy as np

# Working on 1D iteration of 2D array
array = np.arange(15).reshape(5, 3)
print("2D array : 
",array )

# Using flat() : 1D iterator over range
print("
Using Array : ", array.flat[2:6])

# Using flat() to Print 1D represented array
print("
1D representation of array : 
 ->", array.flat[0:15])

Python NumPy ndarray flat function Syntax

numpy.ndarray.flat()

Python NumPy ndarray flatten Function Syntax

numpy.ndarray.flatten(order=’C’)

Python NumPy ndarray flat function Example

# welcome to softhunt.net
# Python Program illustrating
# working of ndarray.flat()

import numpy as np

# Working on 1D iteration of 2D array
array = np.arange(15).reshape(5, 3)
print("2D array : 
",array )

# All elements set to 1
array.flat = 1
print("
All Values set to 1 : 
", array)

array.flat[3:6] = 8
array.flat[8:10] = 9
print("Changing values in a range : 
", array)