Splitting is reverse operation of Joining.<\/p>\n\n\n\n
Joining merges multiple arrays into one and Splitting breaks one array into multiple.<\/p>\n\n\n\n
We use Split the array in 3 parts:<\/p>\n\n\n\n import numpy as np Try it Yourself \u00bb<\/a><\/p>\n\n\n\n Note:<\/strong> The return value is a list containing three arrays.<\/p>\n\n\n\n If the array has less elements than required, it will adjust from the end accordingly.<\/p>\n\n\n\n Split the array in 4 parts:<\/p>\n\n\n\n Try it Yourself \u00bb<\/a><\/p>\n\n\n\n Note:<\/strong> We also have the method The return value of the If you split an array into 3 arrays, you can access them from the result just like any array element:<\/p>\n\n\n\n Access the splitted arrays:<\/p>\n\n\n\n Try it Yourself \u00bb<\/a><\/p>\n\n\n\n Use the same syntax when splitting 2-D arrays.<\/p>\n\n\n\n Use the Split the 2-D array into three 2-D arrays.<\/p>\n\n\n\n Try it Yourself \u00bb<\/a><\/p>\n\n\n\n The example above returns three 2-D arrays.<\/p>\n\n\n\n Let’s look at another example, this time each element in the 2-D arrays contains 3 elements.<\/p>\n\n\n\n Split the 2-D array into three 2-D arrays.<\/p>\n\n\n\narray_split()<\/code> for splitting arrays, we pass it the array we want to split and the number of splits.<\/p>\n\n\n\nExampleGet your own Python Server<\/h3>\n\n\n\n
arr = np.array([1, 2, 3, 4, 5, 6])
newarr = np.array_split(arr, 3)
print(newarr)<\/p>\n\n\n\nExample<\/h3>\n\n\n\n
import numpy as np
arr = np.array([1, 2, 3, 4, 5, 6])
newarr = np.array_split(arr, 4)
print(newarr)<\/code><\/pre>\n\n\n\nsplit()<\/code> available but it will not adjust the elements when elements are less in source array for splitting like in example above, array_split()<\/code> worked properly but split()<\/code> would fail.<\/p>\n\n\n\n
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\n\n\n\nSplit Into Arrays<\/h2>\n\n\n\n
array_split()<\/code> method is an array containing each of the split as an array.<\/p>\n\n\n\nExample<\/h3>\n\n\n\n
import numpy as np
arr = np.array([1, 2, 3, 4, 5, 6])
newarr = np.array_split(arr, 3)
print(newarr[0])
print(newarr[1])
print(newarr[2])<\/code><\/pre>\n\n\n\n
\n\n\n\nSplitting 2-D Arrays<\/h2>\n\n\n\n
array_split()<\/code> method, pass in the array you want to split and the number of splits you want to do.<\/p>\n\n\n\nExample<\/h3>\n\n\n\n
import numpy as np
arr = np.array([[1, 2], [3, 4], [5, 6], [7, 8], [9, 10], [11, 12]])
newarr = np.array_split(arr, 3)
print(newarr)<\/code><\/pre>\n\n\n\nExample<\/h3>\n\n\n\n
import numpy as np
arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12], [13, 14, 15], [16, 17, 18]])
newarr = np.array_split(arr, 3)
print(newarr)<\/code><\/pre>\n\n\n\n