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Copy pathproc_matrix.py
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47 lines (34 loc) · 1.2 KB
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import numpy as np
import json
def __calculate_median(mat):
return np.median(mat)
def __mat_to_list(mat):
return mat.tolist()
def __return_special_array(mat, lower_num):
return mat[np.nonzero(mat > lower_num)]
def __return_special_indices(mat, lower_num):
return np.nonzero(mat > lower_num)
def read_name_dict(filename):
f = open(filename, 'r')
name_dict = json.loads(f.read())
f.close()
return name_dict
def __get_doc_name_by_indice(indice, name_dict):
return name_dict[indice]
def main(filename, name_map_filename):
array_mat = np.load(filename)
median = __calculate_median(__return_special_array(array_mat, 0))
# print(array_mat)
print(median)
print(__return_special_array(array_mat, median))
name_dict = read_name_dict(name_map_filename)
indice_arr = __return_special_indices(array_mat, median)
for x in range(len(indice_arr[0])):
row_indice = str(indice_arr[0][x])
col_indice = str(indice_arr[1][x])
name1 = __get_doc_name_by_indice(row_indice, name_dict)
name2 = __get_doc_name_by_indice(col_indice, name_dict)
num = array_mat[row_indice, col_indice]
print(str(name1) + ' & ' + str(name2) + ' : ' + str(num))
if __name__ == '__main__':
main("cos_list.npy", "doc_name_map")