PYTHON

numpy flatten

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

Flatten List in Python Using NumPy Flatten

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

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 )

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 Syntax

numpy.ndarray.flat()

Python NumPy ndarray flatten Function Syntax

numpy.ndarray.flatten(order=’C’)

Python NumPy ndarray flatten Function Example 02

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

# importing numpy as np
import numpy as np

arr = np.array([[8, 7], [6, 5]])

softhunt = arr.flatten('F')

print( softhunt )

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)