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Bihar state government jobs

August 14, 2022

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1. Array to Numpy import numpy a = numpy.array([1,2,3,4,5]) print(a[1]) output: 2 2.Using shape to change array dimensions import numpy change_array = numpy.array([1,2,3,4,5,6]) change_array.shape = (3, 2) print change_array #Output [[1 2] [3 4] [5 6]] 3.reshape import numpy my_array = numpy.array([1,2,3,4,5,6]) print numpy.reshape(my_array,(3,2)) #Output [[1 2] [3 4] [5 6]] 4. Transpose import numpy my_array = numpy.array([[1,2,3], [4,5,6]]) print numpy.transpose(my_array) #Output [[1 4] [2 5] [3 6]] 5. Flatten import numpy my_array = numpy.array([[1,2,3], [4,5,6]]) print my_array.flatten() #Output [1 2 3 4 5 6] 6. Concatenation import numpy array_1 = numpy.array([1,2,3]) array_2 = numpy.array([4,5,6]) array_3 = numpy.array([7,8,9]) print numpy.concatenate((array_1, array_2, array_3)) #Output [1 2 3 4 5 6 7 8 9] import numpy array_1 = numpy.array([[1,2,3],[0,0,0]]) array_2 = numpy.array([[0,0,0],[7,8,9]]) print numpy.concate

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