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我有一个二维字典数组,我想从中提取满足特定条件的第一个键的第一个值并将它们放入另一个二维数组中。这是矩阵“coord_curva_testo”(部分):
[[{1: 0}, {2: 1}, {3: 2}, {3: 3}, {4: 4}, {5: 5}, {6: 6}, {6: 7}, {6: 8}, {7: 9}, {8: 10}, {8: 11}, {8: 12}, {8: 13}, {8: 14}, {8: 15}, {8: 16}, {8: 17}, {8: 18}, {8: 19}, {8: 20}, {9: 21}, {9: 22}, {9: 23}, {10: 24}, {10: 25}, {11: 26}, {11: 27}, {11: 28}, {11: 29}, {12: 30}, {12: 31}, {12: 32}, {12: 33}, {12: 34}, {13: 35}, {13: 36}, {13: 37}, {14: 38}, {15: 39}, {15: 40}, {15: 41}, {15: 42}, {15: 43}, {15: 44}, {15: 45}, {15: 46}, {15: 47}, {15: 48}, {15: 49}, {15: 50}, {15: 51}, {15: 52}, {15: 53}, {15: 54}, {15: 55}, {15: 56}, {15: 57}, {15: 58}], [{1: 0}, {2: 1}, {3: 2}, {4: 3}, {5: 4}, {6: 5}, {6: 6}, {6: 7}, {7: 8}, {8: 9}, {8: 10}, {8: 11}, {8: 12}, {8: 13}, {8: 14}, {8: 15}, {8: 16}, {8: 17}, {8: 18}, {8: 19}, {9: 20}, {9: 21}, {9: 22}, {10: 23}, {10: 24}, {11: 25}, {11: 26}, {11: 27}, {11: 28}, {12: 29}, {12: 30}, {12: 31}, {12: 32}, {12: 33}, {13: 34}, {13: 35}, {13: 36}, {14: 37}, {15: 38}, {15: 39}, {15: 40}, {15: 41}, {15: 42}, {15: 43}, {15: 44}, {15: 45}, {15: 46}, {15: 47}, {15: 48}, {15: 49}, {15: 50}, {15: 51}, {15: 52}, {15: 53}, {15: 54}, {15: 55}, {15: 56}, {15: 57}], [{1: 0}, {2: 1}, {3: 2}, {4: 3}, {5: 4}, {5: 5}, {5: 6}, {6: 7}, {7: 8}, {7: 9}, {7: 10}, {7: 11}, {8: 12}, {8: 13}, {8: 14}, {8: 15}, {8: 16}, {8: 17}, {8: 18}, {9: 19}, {9: 20}, {9: 21}, {10: 22}, {10: 23}, {11: 24}, {11: 25}, {11: 26}, {11: 27}, {12: 28}, {12: 29}, {12: 30}, {12: 31}, {12: 32}, {13: 33}, {13: 34}, {13: 35}, {14: 36}, {15: 37}, {15: 38}, {15: 39}, {15: 40}, {15: 41}, {15: 42}, {15: 43}, {15: 44}, {15: 45}, {15: 46}, {15: 47}, {15: 48}, {15: 49}, {15: 50}, {15: 51}, {15: 52}, {15: 53}, {15: 54}, {15: 55}, {15: 56}], [{1: 0}, {2: 1}, {3: 2}, {4: 3}, {5: 4}, {5: 5}, {6: 6}, {7: 7}, {7: 8}, {7: 9}, {7: 10}, {8: 11}, {8: 12}, {8: 13}, {8: 14}, {8: 15}, {8: 16}, {8: 17}, {9: 18}, {9: 19}, {9: 20}, {10: 21}, {10: 22}, {11: 23}, {11: 24}, {11: 25}, {11: 26}, {12: 27}, {12: 28}, {12: 29}, {12: 30}, {12: 31}, {13: 32}, {13: 33}, {13: 34}, {14: 35}, {15: 36}, {15: 37}, {15: 38}, {15: 39}, {15: 40}, {15: 41}, {15: 42}, {15: 43}, {15: 44}, {15: 45}, {15: 46}, {15: 47}, {15: 48}, {15: 49}, {15: 50}, {15: 51}, {15: 52}, {15: 53}, {15: 54}, {15: 55}], [{1: 0}, {2: 1}, {3: 2}, {4: 3}, {5: 4}, {6: 5}, {7: 6}, {7: 7}, {7: 8}, {7: 9}, {8: 10}, {8: 11}, {8: 12}, {8: 13}, {8: 14}, {8: 15}, {8: 16}, {9: 17}, {9: 18}, {9: 19}, {10: 20}, {10: 21}, {11: 22}, {11: 23}, {11: 24}, {11: 25}, {12: 26}, {12: 27}, {12: 28}, {12: 29}, {12: 30}, {13: 31}, {13: 32}, {13: 33}, {14: 34}, {15: 35}, {15: 36}, {15: 37}, {15: 38}, {15: 39}, {15: 40}, {15: 41}, {15: 42}, {15: 43}, {15: 44}, {15: 45}, {15: 46}, {15: 47}, {15: 48}, {15: 49}, {15: 50}, {15: 51}, {15: 52}, {15: 53}, {15: 54}], [{1: 0}, {2: 1}, {3: 2}, {4: 3}, {5: 4}, {6: 5}, {6: 6}, {6: 7}, {6: 8}, {7: 9}, {7: 10}, {7: 11}, {8: 12}, {8: 13}, {8: 14}, {8: 15}, {9: 16}, {9: 17}, {9: 18}, {10: 19}, {10: 20}, {11: 21}, {11: 22}, {11: 23}, {11: 24}, {12: 25}, {12: 26}, {12: 27}, {12: 28}, {12: 29}, {13: 30}, {13: 31}, {13: 32}, {14: 33}, {15: 34}, {15: 35}, {15: 36}, {15: 37}, {15: 38}, {15: 39}, {15: 40}, {15: 41}, {15: 42}, {15: 43}, {15: 44}, {15: 45}, {15: 46}, {15: 47}, {15: 48}, {15: 49}, {15: 50}, {15: 51}, {15: 52}, {15: 53}], [{1: 0}, {2: 1}, {3: 2}, {4: 3}, {5: 4}, {5: 5}, {5: 6}, {5: 7}, {6: 8}, {6: 9}, {6: 10}, {7: 11}, {7: 12}, {7: 13}, {7: 14}, {8: 15}, {8: 16}, {8: 17}, {9: 18}, {9: 19}, {10: 20}, {10: 21}, {10: 22}, {10: 23}, {11: 24}, {11: 25}, {11: 26}, {11: 27}, {11: 28}, {12: 29}, {12: 30}, {12: 31}, {13: 32}, {14: 33}, {14: 34}, {14: 35}, {14: 36}, {14: 37}, {14: 38}, {14: 39}, {14: 40}, {14: 41}, {14: 42}, {14: 43}, {14: 44}, {14: 45}, {14: 46}, {14: 47}, {14: 48}, {14: 49}, {14: 50}, {14: 51}, {14: 52}], [{1: 0}, {2: 1}, {3: 2}, {4: 3}, {5: 4}, {5: 5}, {5: 6}, {6: 7}, {6: 8}, {6: 9}, {7: 10}, {7: 11}, {7: 12}, {7: 13}, {8: 14}, {8: 15}, {8: 16}, {9: 17}, {9: 18}, {10: 19}, {10: 20}, {10: 21}, {10: 22}, {11: 23}, {11: 24}, {11: 25}, {11: 26}, {11: 27}, {12: 28}, {12: 29}, {12: 30}, {13: 31}, {14: 32}, {14: 33}, {14: 34}, {14: 35}, {14: 36}, {14: 37}, {14: 38}, {14: 39}, {14: 40}, {14: 41}, {14: 42}, {14: 43}, {14: 44}, {14: 45}, {14: 46}, {14: 47}, {14: 48}, {14: 49}, {14: 50}, {14: 51}], [{1: 0}, {2: 1}, {3: 2}, {4: 3}, {4: 4}, {4: 5}, {5: 6}, {6: 7}, {6: 8}, {7: 9}, {7: 10}, {7: 11}, {7: 12}, {8: 13}, {8: 14}, {8: 15}, {9: 16}, {9: 17}, {10: 18}, {10: 19}, {10: 20}, {10: 21}, {11: 22}, {11: 23}, {11: 24}, {11: 25}, {11: 26}, {12: 27}, {12: 28}, {12: 29}, {13: 30}, {14: 31}, {14: 32}, {14: 33}, {14: 34}, {14: 35}, {14: 36}, {14: 37}, {14: 38}, {14: 39}, {14: 40}, {14: 41}, {14: 42}, {14: 43}, {14: 44}, {14: 45}, {14: 46}, {14: 47}, {14: 48}, {14: 49}, {14: 50}], [{1: 0}, {2: 1}, {3: 2}, {3: 3}, {4: 4}, {5: 5}, {6: 6}, {6: 7}, {7: 8}, {7: 9}, {7: 10}, {7: 11}, {8: 12}, {8: 13}, {8: 14}, {9: 15}, {9: 16}, {10: 17}, {10: 18}, {10: 19}, {10: 20}, {11: 21}, {11: 22}, {11: 23}, {11: 24}, {11: 25}, {12: 26}, {12: 27}, {12: 28}, {13: 29}, {14: 30}, {14: 31}, {14: 32}, {14: 33}, {14: 34}, {14: 35}, {14: 36}, {14: 37}, {14: 38}, {14: 39}, {14: 40}, {14: 41}, {14: 42}, {14: 43}, {14: 44}, {14: 45}, {14: 46}, {14: 47}, {14: 48}, {14: 49}], [{1: 0}, {2: 1}, {2: 2}, {3: 3}, {4: 4}, {5: 5}, {5: 6}, {6: 7}, {6: 8}, {6: 9}, {6: 10}, {7: 11}, {7: 12}, {7: 13}, {8: 14}, {8: 15}, {9: 16}, {9: 17}, {9: 18}, {9: 19}, {10: 20}, {10: 21}, {10: 22}, {10: 23}, {10: 24}, {11: 25}, {12: 26}, {12: 27}, {13: 28}, {14: 29}, {14: 30}, {14: 31}, {14: 32}, {14: 33}, {14: 34}, {14: 35}, {14: 36}, {14: 37}, {14: 38}, {14: 39}, {14: 40}, {14: 41}, {14: 42}, {14: 43}, {14: 44}, {14: 45}, {14: 46}, {14: 47}, {14: 48}], [{1: 0}, {1: 1}, {2: 2}, {3: 3}, {4: 4}, {4: 5}, {5: 6}, {5: 7}, {5: 8}, {5: 9}, {6: 10}, {6: 11}, {6: 12}, {7: 13}, {7: 14}, {8: 15}, {8: 16}, {9: 17}, {9: 18}, {10: 19}, {10: 20}, {10: 21}, {10: 22}, {10: 23}, {11: 24}, {12: 25}, {12: 26}, {13: 27}, {14: 28}, {14: 29}, {14: 30}, {14: 31}, {14: 32}, {14: 33}, {14: 34}, {14: 35}, {14: 36}, {14: 37}, {14: 38}, {14: 39}, {14: 40}, {14: 41}, {14: 42}, {14: 43}, {14: 44}, {14: 45}, {14: 46}, {14: 47}]]
我想为每一行提取第一个带有键 8、10 或 12 的字典,并且从每个键中仅提取第一个值。例如,第一行中的对是 (8,10)、(10, 24) 和 (12,30)。
我是 Python 新手,我发现它是最适合我的目的的语言,这是我的代码(很抱歉,如果您会发现它有点困惑):
dict_rep = defaultdict(list)
line_plot= [[]]
move = 0
key_num = [8,10,12]
for move in range(len(coord_curva_testo[move])):
for d in coord_curva_testo[move]:
for key, value in d.items():
if key in key_num:
dict_rep[key].append(value +1)
line_plot[move].append({list(dict_rep.items([0][0]:list(dict_rep.values())[0][0]})
line_plot[move].append({list(dict_rep.items()[1][0]:list(dict_rep.values())[1][0]})
line_plot[move].append({list(dict_rep.items())[2][0]:list(dict_rep.values())[2][0]})
curva_plot.append([])
但结果是每一行都有与第一行相同的字典。
[[{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}], [{8: 10}, {10: 24}, {12: 30}]
任何人都可以帮助并解释我是否错了,并引导我找到解决问题的好方法吗?
最佳答案
这是您想要的格式吗?
a = [[{1: 0}, {2: 1}, {3: 2}, {3: 3}, {4: 4}, {5: 5}, {6: 6}, {6: 7}, {6: 8}, {7: 9}, {8: 10}, {8: 11}, {8: 12}, {8: 13}, {8: 14}, {8: 15}, {8: 16}, {8: 17}, {8: 18}, {8: 19}, {8: 20}, {9: 21}, {9: 22}, {9: 23}, {10: 24}, {10: 25}, {11: 26}, {11: 27}, {11: 28}, {11: 29}, {12: 30}, {12: 31}, {12: 32}, {12: 33}, {12: 34}, {13: 35}, {13: 36}, {13: 37}, {14: 38}, {15: 39}, {15: 40}, {15: 41}, {15: 42}, {15: 43}, {15: 44}, {15: 45}, {15: 46}, {15: 47}, {15: 48}, {15: 49}, {15: 50}, {15: 51}, {15: 52}, {15: 53}, {15: 54}, {15: 55}, {15: 56}, {15: 57}, {15: 58}], [{1: 0}, {2: 1}, {3: 2}, {4: 3}, {5: 4}, {6: 5}, {6: 6}, {6: 7}, {7: 8}, {8: 9}, {8: 10}, {8: 11}, {8: 12}, {8: 13}, {8: 14}, {8: 15}, {8: 16}, {8: 17}, {8: 18}, {8: 19}, {9: 20}, {9: 21}, {9: 22}, {10: 23}, {10: 24}, {11: 25}, {11: 26}, {11: 27}, {11: 28}, {12: 29}, {12: 30}, {12: 31}, {12: 32}, {12: 33}, {13: 34}, {13: 35}, {13: 36}, {14: 37}, {15: 38}, {15: 39}, {15: 40}, {15: 41}, {15: 42}, {15: 43}, {15: 44}, {15: 45}, {15: 46}, {15: 47}, {15: 48}, {15: 49}, {15: 50}, {15: 51}, {15: 52}, {15: 53}, {15: 54}, {15: 55}, {15: 56}, {15: 57}], [{1: 0}, {2: 1}, {3: 2}, {4: 3}, {5: 4}, {5: 5}, {5: 6}, {6: 7}, {7: 8}, {7: 9}, {7: 10}, {7: 11}, {8: 12}, {8: 13}, {8: 14}, {8: 15}, {8: 16}, {8: 17}, {8: 18}, {9: 19}, {9: 20}, {9: 21}, {10: 22}, {10: 23}, {11: 24}, {11: 25}, {11: 26}, {11: 27}, {12: 28}, {12: 29}, {12: 30}, {12: 31}, {12: 32}, {13: 33}, {13: 34}, {13: 35}, {14: 36}, {15: 37}, {15: 38}, {15: 39}, {15: 40}, {15: 41}, {15: 42}, {15: 43}, {15: 44}, {15: 45}, {15: 46}, {15: 47}, {15: 48}, {15: 49}, {15: 50}, {15: 51}, {15: 52}, {15: 53}, {15: 54}, {15: 55}, {15: 56}], [{1: 0}, {2: 1}, {3: 2}, {4: 3}, {5: 4}, {5: 5}, {6: 6}, {7: 7}, {7: 8}, {7: 9}, {7: 10}, {8: 11}, {8: 12}, {8: 13}, {8: 14}, {8: 15}, {8: 16}, {8: 17}, {9: 18}, {9: 19}, {9: 20}, {10: 21}, {10: 22}, {11: 23}, {11: 24}, {11: 25}, {11: 26}, {12: 27}, {12: 28}, {12: 29}, {12: 30}, {12: 31}, {13: 32}, {13: 33}, {13: 34}, {14: 35}, {15: 36}, {15: 37}, {15: 38}, {15: 39}, {15: 40}, {15: 41}, {15: 42}, {15: 43}, {15: 44}, {15: 45}, {15: 46}, {15: 47}, {15: 48}, {15: 49}, {15: 50}, {15: 51}, {15: 52}, {15: 53}, {15: 54}, {15: 55}], [{1: 0}, {2: 1}, {3: 2}, {4: 3}, {5: 4}, {6: 5}, {7: 6}, {7: 7}, {7: 8}, {7: 9}, {8: 10}, {8: 11}, {8: 12}, {8: 13}, {8: 14}, {8: 15}, {8: 16}, {9: 17}, {9: 18}, {9: 19}, {10: 20}, {10: 21}, {11: 22}, {11: 23}, {11: 24}, {11: 25}, {12: 26}, {12: 27}, {12: 28}, {12: 29}, {12: 30}, {13: 31}, {13: 32}, {13: 33}, {14: 34}, {15: 35}, {15: 36}, {15: 37}, {15: 38}, {15: 39}, {15: 40}, {15: 41}, {15: 42}, {15: 43}, {15: 44}, {15: 45}, {15: 46}, {15: 47}, {15: 48}, {15: 49}, {15: 50}, {15: 51}, {15: 52}, {15: 53}, {15: 54}], [{1: 0}, {2: 1}, {3: 2}, {4: 3}, {5: 4}, {6: 5}, {6: 6}, {6: 7}, {6: 8}, {7: 9}, {7: 10}, {7: 11}, {8: 12}, {8: 13}, {8: 14}, {8: 15}, {9: 16}, {9: 17}, {9: 18}, {10: 19}, {10: 20}, {11: 21}, {11: 22}, {11: 23}, {11: 24}, {12: 25}, {12: 26}, {12: 27}, {12: 28}, {12: 29}, {13: 30}, {13: 31}, {13: 32}, {14: 33}, {15: 34}, {15: 35}, {15: 36}, {15: 37}, {15: 38}, {15: 39}, {15: 40}, {15: 41}, {15: 42}, {15: 43}, {15: 44}, {15: 45}, {15: 46}, {15: 47}, {15: 48}, {15: 49}, {15: 50}, {15: 51}, {15: 52}, {15: 53}], [{1: 0}, {2: 1}, {3: 2}, {4: 3}, {5: 4}, {5: 5}, {5: 6}, {5: 7}, {6: 8}, {6: 9}, {6: 10}, {7: 11}, {7: 12}, {7: 13}, {7: 14}, {8: 15}, {8: 16}, {8: 17}, {9: 18}, {9: 19}, {10: 20}, {10: 21}, {10: 22}, {10: 23}, {11: 24}, {11: 25}, {11: 26}, {11: 27}, {11: 28}, {12: 29}, {12: 30}, {12: 31}, {13: 32}, {14: 33}, {14: 34}, {14: 35}, {14: 36}, {14: 37}, {14: 38}, {14: 39}, {14: 40}, {14: 41}, {14: 42}, {14: 43}, {14: 44}, {14: 45}, {14: 46}, {14: 47}, {14: 48}, {14: 49}, {14: 50}, {14: 51}, {14: 52}], [{1: 0}, {2: 1}, {3: 2}, {4: 3}, {5: 4}, {5: 5}, {5: 6}, {6: 7}, {6: 8}, {6: 9}, {7: 10}, {7: 11}, {7: 12}, {7: 13}, {8: 14}, {8: 15}, {8: 16}, {9: 17}, {9: 18}, {10: 19}, {10: 20}, {10: 21}, {10: 22}, {11: 23}, {11: 24}, {11: 25}, {11: 26}, {11: 27}, {12: 28}, {12: 29}, {12: 30}, {13: 31}, {14: 32}, {14: 33}, {14: 34}, {14: 35}, {14: 36}, {14: 37}, {14: 38}, {14: 39}, {14: 40}, {14: 41}, {14: 42}, {14: 43}, {14: 44}, {14: 45}, {14: 46}, {14: 47}, {14: 48}, {14: 49}, {14: 50}, {14: 51}], [{1: 0}, {2: 1}, {3: 2}, {4: 3}, {4: 4}, {4: 5}, {5: 6}, {6: 7}, {6: 8}, {7: 9}, {7: 10}, {7: 11}, {7: 12}, {8: 13}, {8: 14}, {8: 15}, {9: 16}, {9: 17}, {10: 18}, {10: 19}, {10: 20}, {10: 21}, {11: 22}, {11: 23}, {11: 24}, {11: 25}, {11: 26}, {12: 27}, {12: 28}, {12: 29}, {13: 30}, {14: 31}, {14: 32}, {14: 33}, {14: 34}, {14: 35}, {14: 36}, {14: 37}, {14: 38}, {14: 39}, {14: 40}, {14: 41}, {14: 42}, {14: 43}, {14: 44}, {14: 45}, {14: 46}, {14: 47}, {14: 48}, {14: 49}, {14: 50}], [{1: 0}, {2: 1}, {3: 2}, {3: 3}, {4: 4}, {5: 5}, {6: 6}, {6: 7}, {7: 8}, {7: 9}, {7: 10}, {7: 11}, {8: 12}, {8: 13}, {8: 14}, {9: 15}, {9: 16}, {10: 17}, {10: 18}, {10: 19}, {10: 20}, {11: 21}, {11: 22}, {11: 23}, {11: 24}, {11: 25}, {12: 26}, {12: 27}, {12: 28}, {13: 29}, {14: 30}, {14: 31}, {14: 32}, {14: 33}, {14: 34}, {14: 35}, {14: 36}, {14: 37}, {14: 38}, {14: 39}, {14: 40}, {14: 41}, {14: 42}, {14: 43}, {14: 44}, {14: 45}, {14: 46}, {14: 47}, {14: 48}, {14: 49}], [{1: 0}, {2: 1}, {2: 2}, {3: 3}, {4: 4}, {5: 5}, {5: 6}, {6: 7}, {6: 8}, {6: 9}, {6: 10}, {7: 11}, {7: 12}, {7: 13}, {8: 14}, {8: 15}, {9: 16}, {9: 17}, {9: 18}, {9: 19}, {10: 20}, {10: 21}, {10: 22}, {10: 23}, {10: 24}, {11: 25}, {12: 26}, {12: 27}, {13: 28}, {14: 29}, {14: 30}, {14: 31}, {14: 32}, {14: 33}, {14: 34}, {14: 35}, {14: 36}, {14: 37}, {14: 38}, {14: 39}, {14: 40}, {14: 41}, {14: 42}, {14: 43}, {14: 44}, {14: 45}, {14: 46}, {14: 47}, {14: 48}], [{1: 0}, {1: 1}, {2: 2}, {3: 3}, {4: 4}, {4: 5}, {5: 6}, {5: 7}, {5: 8}, {5: 9}, {6: 10}, {6: 11}, {6: 12}, {7: 13}, {7: 14}, {8: 15}, {8: 16}, {9: 17}, {9: 18}, {10: 19}, {10: 20}, {10: 21}, {10: 22}, {10: 23}, {11: 24}, {12: 25}, {12: 26}, {13: 27}, {14: 28}, {14: 29}, {14: 30}, {14: 31}, {14: 32}, {14: 33}, {14: 34}, {14: 35}, {14: 36}, {14: 37}, {14: 38}, {14: 39}, {14: 40}, {14: 41}, {14: 42}, {14: 43}, {14: 44}, {14: 45}, {14: 46}, {14: 47}]]
rv = []
for r in a:
ret = []
for i in [8, 10, 12]:
ret.append(next(d for d in r if i in d))
rv.append(ret)
或者作为一句台词:
rv = [[next(d for d in r if i in d) for i in [8, 10, 12]] for r in a]
输出:
>>> rv
[[{8: 10}, {10: 24}, {12: 30}],
[{8: 9}, {10: 23}, {12: 29}],
[{8: 12}, {10: 22}, {12: 28}],
[{8: 11}, {10: 21}, {12: 27}],
[{8: 10}, {10: 20}, {12: 26}],
[{8: 12}, {10: 19}, {12: 25}],
[{8: 15}, {10: 20}, {12: 29}],
[{8: 14}, {10: 19}, {12: 28}],
[{8: 13}, {10: 18}, {12: 27}],
[{8: 12}, {10: 17}, {12: 26}],
[{8: 14}, {10: 20}, {12: 26}],
[{8: 15}, {10: 19}, {12: 25}]]
关于python - 从二维字典数组中提取特定的键/值,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/59008772/
我需要将文本放在 中在一个 Div 中,在另一个 Div 中,在另一个 Div 中。所以这是它的样子: #document Change PIN
奇怪的事情发生了。 我有一个基本的 html 代码。 html,头部, body 。(因为我收到了一些反对票,这里是完整的代码) 这是我的CSS: html { backgroun
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我需要根据带参数的 perl 脚本的输出更改一些环境变量。在 tcsh 中,我可以使用别名命令来评估 perl 脚本的输出。 tcsh: alias setsdk 'eval `/localhome/
我使用 Windows 身份验证创建了一个新的 Blazor(服务器端)应用程序,并使用 IIS Express 运行它。它将显示一条消息“Hello Domain\User!”来自右上方的以下 Ra
这是我的方法 void login(Event event);我想知道 Kotlin 中应该如何 最佳答案 在 Kotlin 中通配符运算符是 * 。它指示编译器它是未知的,但一旦知道,就不会有其他类
看下面的代码 for story in book if story.title.length < 140 - var story
我正在尝试用 C 语言学习字符串处理。我写了一个程序,它存储了一些音乐轨道,并帮助用户检查他/她想到的歌曲是否存在于存储的轨道中。这是通过要求用户输入一串字符来完成的。然后程序使用 strstr()
我正在学习 sscanf 并遇到如下格式字符串: sscanf("%[^:]:%[^*=]%*[*=]%n",a,b,&c); 我理解 %[^:] 部分意味着扫描直到遇到 ':' 并将其分配给 a。:
def char_check(x,y): if (str(x) in y or x.find(y) > -1) or (str(y) in x or y.find(x) > -1):
我有一种情况,我想将文本文件中的现有行包含到一个新 block 中。 line 1 line 2 line in block line 3 line 4 应该变成 line 1 line 2 line
我有一个新项目,我正在尝试设置 Django 调试工具栏。首先,我尝试了快速设置,它只涉及将 'debug_toolbar' 添加到我的已安装应用程序列表中。有了这个,当我转到我的根 URL 时,调试
在 Matlab 中,如果我有一个函数 f,例如签名是 f(a,b,c),我可以创建一个只有一个变量 b 的函数,它将使用固定的 a=a1 和 c=c1 调用 f: g = @(b) f(a1, b,
我不明白为什么 ForEach 中的元素之间有多余的垂直间距在 VStack 里面在 ScrollView 里面使用 GeometryReader 时渲染自定义水平分隔线。 Scrol
我想知道,是否有关于何时使用 session 和 cookie 的指南或最佳实践? 什么应该和什么不应该存储在其中?谢谢! 最佳答案 这些文档很好地了解了 session cookie 的安全问题以及
我在 scipy/numpy 中有一个 Nx3 矩阵,我想用它制作一个 3 维条形图,其中 X 轴和 Y 轴由矩阵的第一列和第二列的值、高度确定每个条形的 是矩阵中的第三列,条形的数量由 N 确定。
假设我用两种不同的方式初始化信号量 sem_init(&randomsem,0,1) sem_init(&randomsem,0,0) 现在, sem_wait(&randomsem) 在这两种情况下
我怀疑该值如何存储在“WORD”中,因为 PStr 包含实际输出。? 既然Pstr中存储的是小写到大写的字母,那么在printf中如何将其给出为“WORD”。有人可以吗?解释一下? #include
我有一个 3x3 数组: var my_array = [[0,1,2], [3,4,5], [6,7,8]]; 并想获得它的第一个 2
我意识到您可以使用如下方式轻松检查焦点: var hasFocus = true; $(window).blur(function(){ hasFocus = false; }); $(win
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