30 Mar Sorting Numpy Arrays
The numpy.sort() function is used in Numpy to sort arrays in a sequence. This sequence can be ascending or descending. Here, we will see how to,
- Sort a One-Dimensional Integer Array
- Sort a One-Dimensional String Array
- Sort a Two-Dimensional Array
Sort a 1D Numpy Integer array
We will create an array in Numpy with integer elements using the numpy.array() method. To sort it, the numpy.sort() method will be used. Let us see an example:
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import numpy as np # Create a 1D integer array n = np.array([50, 25, 35, 15, 55, 75, 65, 60, 30, 45]) print("Iterating array...") for a in n: print(a) # Sort the array using the sort() method print("\nSorted array = ", np.sort(n)) |
Output
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Iterating array... 50 25 35 15 55 75 65 60 30 45 Sorted array = [15 25 30 35 45 50 55 60 65 75] |
Sort a 1D Numpy string array
We will create an array in Numpy with string elements using the numpy.array() method. To sort it, the numpy.sort() method will be used. Let us see an example:
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import numpy as np # Create a Numpy strungs array n = np.array(['java', 'keras', 'android', 'express', 'jquery']) print("Iterating array...") for a in n: print(a) # Sort the array print("\nSorted array = ", np.sort(n)) |
Output
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Iterating array... java keras android express jquery Sorted array = ['android' 'express' 'java' 'jquery' 'keras'] |
Sort a 2D array
A 2D array gets sorted individually using the sort() function. Let us see an example:
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import numpy as np # Create Numpy 2d array n = np.array([[5, 3, 7, 9, 6], [15, 25, 13, 20, 12]]) print("Iterating 2D array...") for a in n: print(a) # Sort the array print("\nSorted 2D array =\n ", np.sort(n)) |
Output
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Iterating 2D array... [5 3 7 9 6] [15 25 13 20 12] Sorted 2D array = [[ 3 5 6 7 9] [12 13 15 20 25]] |
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