PYTHON

numpy array split

x = np.arange(8.0)
np.array_split(x, 3)
# returns [array([0.,  1.,  2.]), array([3.,  4.,  5.]), array([6.,  7.])]

Python NumPy split Function Example

# welcome to softhunt.net
# import numpy
import numpy as np

array = [[1, 2, 3],
		[4, 5, 6],
		[7, 8, 9]]

# using numpy.split() method
softhunt = np.split(array, [3, 5, 6, 10])

print(softhunt)

Python NumPy array_split Function Syntax

numpy.array_split()

Python NumPy split Function Syntax

numpy.split(ary, indices_or_sections, axis=0)

Python NumPy array_split Function Example 01

# welcome to softhunt.net
# import numpy
import numpy as np

array = np.arange(16)

# using numpy.array_split() method
softhunt = np.array_split(array, 6)

print(softhunt)

Python NumPy array_split Function Example 02

# welcome to softhunt.net
# import numpy
import numpy as np

array = [[1, 2, 3],
		[4, 5, 6],
		[7, 8, 9]]

# using numpy.array_split() method
softhunt = np.array_split(array, 3)

print(softhunt)

numpy split

 "1-D Array For example, [2, 3] would, for axis=0, result in

ary[:2]

ary[2:3]

ary[3:]