27 lines
1002 B
Python
27 lines
1002 B
Python
import numpy as np
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from scipy import sparse
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if __name__ == "__main__":
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# Aufgabe 1b
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input_matrix = [[3, 0, -2, 11],
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[0, 0, 9, 0],
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[0, 7, 0, 0],
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[0, 0, 0, 0]]
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sparse_matrix = []
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for row in range(len(input_matrix)):
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for column in range(len(input_matrix[0])):
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if input_matrix[row][column] != 0:
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# Aufgabe 1d
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print("Index: ["+str(row)+"]"+"["+str(column)+"] = "+str(input_matrix[row][column]))
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triplet = [row, column, input_matrix[row][column]] # saving index of not null values
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sparse_matrix.append(triplet)
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# Aufgabe 1c
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print("\nThe sparce matrix computed without numpy\n" + str(sparse_matrix))
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# faster way with numpy
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input_matrix = np.array(input_matrix)
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rows, columns = input_matrix.shape
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sparse_matrix = sparse.csr_matrix(input_matrix)
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print("\nThe sparce matrix computed with numpy\n" + str(sparse_matrix))
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