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import json
import numpy as np
# 데이터를 담은 딕셔너리 생성
data_to_save = {
'bottle2_100_standing': ['100_1', '100_2', '100_3','100_4','100_5', '100_6', '100_7', '100_8','100_9','100_10','100_11','100_12'],
'bottle2_100_lying' : ['100_13', '100_14', '100_15','100_16','100_17', '100_18', '100_19', '100_20'],
'bottle2_75_staning' : ['75_2','75_3','75_4','75_5','75_6','75_7','75_8','75_9','75_10','75_11','75_12'],
'bottle2_75_lying' : ['75_1','75_13','75_14','75_15','75_16','75_17','75_18','75_19','75_20'],
'bottle2_50_standing' : ['50_1','50_2','50_3','50_4','50_5','50_6','50_7','50_8','50_9','50_10','50_11','50_12'],
'bottle2_50_lying' : ['50_13','50_14','50_15','50_16','50_17','50_18','50_19','50_20'],
'bottle2_25_standing' : ['25_1','25_2','25_3','25_4','25_5','25_6','25_7','25_8','25_9','25_10','25_11'],
'bottle2_25_lying' : ['25_12','25_13','25_14','25_15','25_16','25_17','25_18','25_19','25_20','25_21','25_22','25_23'],
'bottle2_0_standing' : ['0_1', '0_2', '0_3', '0_4', '0_5', '0_6', '0_7', '0_8', '0_9', '0_10', '0_11', '0_12', '0_13'],
'bottle2_0_lying' : ['0_14', '0_15', '0_16', '0_17', '0_18', '0_19'],
'glasses_100_standing' : ['100_3', '100_4', '100_5', '100_6', '100_7', '100_8', '100_9', '100_10', '100_11', '100_12', '100_13'],
'glasses_100_lying' : ['100_14', '100_15', '100_16', '100_17', '100_18', '100_19', '100_20', '100_21', '100_1', '100_2'],
'glasses_75_lying' : ['75_12', '75_13', '75_14', '75_15', '75_16', '75_17', '75_18', '75_19', '75_20'],
'glasses_50_lying' : ['50_13', '50_14', '50_15', '50_16', '50_17', '50_18', '50_19', '50_20', '50_21'],
'glasses_25_lying' : ['25_13', '25_14', '25_15', '25_16', '25_17', '25_18', '25_19', '25_20', '25_21'],
'glasses_0_lying' : ['0_11', '0_12', '0_13', '0_14', '0_15', '0_16', '0_17', '0_18', '0_19'],
'glasses_75_standing' : ['75_1', '75_2', '75_3', '75_4', '75_5', '75_6', '75_7', '75_8', '75_9', '75_10', '75_11'],
'glasses_50_standing' : ['50_1', '50_2', '50_3', '50_4', '50_5', '50_6', '50_7', '50_8', '50_9', '50_10', '50_11', '50_12'],
'glasses_25_standing' : ['25_1', '25_2', '25_3', '25_4', '25_5', '25_6', '25_7', '25_8', '25_9', '25_10', '25_11', '25_12'],
'glasses_0_standing' : ['0_1', '0_2', '0_3', '0_4', '0_5', '0_6', '0_7', '0_8', '0_9', '0_10', '0_11', '0_12', '0_13'],
'lightbulb_100_standing' : ['100_2', '100_3', '100_4', '100_5', '100_6', '100_7'],
'lightbulb_75_standing' : ['75_12', '75_13', '75_14', '75_15', '75_16', '75_17'],
'lightbulb_50_standing' : ['50_13', '50_14', '50_15', '50_16', '50_17', '50_18', '50_19', '50_1', '50_2', '50_3'],
'lightbulb_25_standing' : ['25_2', '25_3', '25_4', '25_5', '25_6', '25_7', '25_8'],
'lightbulb_0_standing' : ['0_13', '0_14', '0_15', '0_16'],
'lightbulb_100_lying' : ['100_8', '100_9', '100_10', '100_11', '100_12', '100_13', '100_14', '100_15', '100_16', '100_17', '100_18', '100_19', '100_20'],
'lightbulb_75_lying' : ['75_1', '75_2', '75_3', '75_4', '75_5', '75_6', '75_7', '75_8', '75_9', '75_10', '75_11', '75_18', '75_19', '75_20'],
'lightbulb_50_lying' : ['50_4', '50_5', '50_6', '50_7', '50_8', '50_9', '50_10', '50_11', '50_12', '50_20', '50_21'],
'lightbulb_25_lying' : ['25_9', '25_10', '25_11', '25_12', '25_13', '25_14', '25_15', '25_16', '25_17', '25_18', '25_19', '25_20', '25_21'],
'lightbulb_0_lying' : ['0_1', '0_2', '0_3', '0_4', '0_5', '0_6', '0_7', '0_8', '0_9', '0_10', '0_11', '0_12'],
'lighter_100_lying' : ['100_13', '100_14', '100_15', '100_16', '100_17', '100_18', '100_19', '100_20', '100_21'],
'lighter_75_lying' : ['75_12', '75_13', '75_14', '75_15', '75_16', '75_17', '75_18', '75_19', '75_20', '75_21'],
'lighter_50_lying' : ['50_1', '50_2', '50_3', '50_4', '50_5', '50_6', '50_7', '50_8', '50_9', '50_10', '50_11'],
'lighter_25_lying' : ['25_12', '25_13', '25_14', '25_15', '25_16', '25_17', '25_18', '25_19', '25_20', '25_21'],
'lighter_0_lying' : ['0_13', '0_14', '0_15', '0_16', '0_17', '0_18', '0_19'],
'lighter_100_standing' : ['100_1', '100_2', '100_3', '100_4', '100_5', '100_6', '100_7', '100_8', '100_9', '100_10', '100_11', '100_12'],
'lighter_75_standing' : ['75_1', '75_2', '75_3', '75_4', '75_5', '75_6', '75_7', '75_8', '75_9', '75_10', '75_11'],
'lighter_50_standing' : ['50_12', '50_13', '50_14', '50_15', '50_16', '50_17', '50_18', '50_19', '50_20', '50_21'],
'lighter_25_standing' : ['25_1', '25_2', '25_3', '25_4', '25_5', '25_6', '25_7', '25_8', '25_9', '25_10', '25_11'],
'lighter_0_standing' : ['0_1', '0_2', '0_3', '0_4', '0_5', '0_6', '0_7', '0_8', '0_9', '0_10', '0_11', '0_12'],
'magnifying_glass_100_standing' : ['100_12', '100_13', '100_14', '100_15', '100_16', '100_17'],
'magnifying_glass_75_standing' : ['75_12', '75_13', '75_14', '75_15', '75_16', '75_17', '75_18', '75_19', '75_20'],
'magnifying_glass_50_standing' : ['50_14', '50_15', '50_16', '50_17', '50_18', '50_19'],
'magnifying_glass_25_standing' : ['25_13', '25_14', '25_15', '25_16', '25_17'],
'magnifying_glass_0_standing' : ['0_3', '0_4', '0_5', '0_6', '0_8', '0_15'],
'magnifying_glass_100_lying' : ['100_1', '100_2', '100_3', '100_4', '100_5', '100_6', '100_7', '100_8', '100_9', '100_10', '100_11', '100_18', '100_19', '100_20', '100_21'],
'magnifying_glass_75_lying' : ['75_1', '75_2', '75_3', '75_4', '75_5', '75_6', '75_7', '75_8', '75_9', '75_10', '75_11'],
'magnifying_glass_50_lying' : ['50_1', '50_2', '50_3', '50_4', '50_5', '50_6', '50_7', '50_8', '50_9', '50_10', '50_11', '50_12', '50_13', '50_20', '50_21'],
'magnifying_glass_25_lying' : ['25_1', '25_2', '25_3', '25_4', '25_5', '25_6', '25_7', '25_8', '25_9', '25_10', '25_11', '25_12', '25_18', '25_19', '25_20', '25_21'],
'magnifying_glass_0_lying' : ['0_10', '0_11', '0_12', '0_13', '0_14', '0_1', '0_2', '0_7', '0_16', '0_17', '0_18', '0_19'],
'spray_100_standing' : ['100_1', '100_2', '100_3', '100_4', '100_5', '100_6', '100_7', '100_8', '100_9', '100_10', '100_11'],
'spray_75_standing' : ['75_1', '75_2', '75_3', '75_4', '75_5', '75_6', '75_7', '75_8', '75_9', '75_10', '75_11'],
'spray_50_standing' : ['50_1', '50_2', '50_3', '50_4', '50_5', '50_6', '50_7', '50_8', '50_9', '50_10', '50_11'],
'spray_25_standing' : ['25_1', '25_2', '25_3', '25_4', '25_5', '25_6', '25_7', '25_8', '25_9', '25_10', '25_11'],
'spray_0_standing' : ['0_1', '0_2', '0_3', '0_4', '0_5', '0_6', '0_7', '0_8', '0_9', '0_10'],
'spray_100_lying' : ['100_12', '100_13', '100_14', '100_15', '100_16', '100_17', '100_18', '100_19', '100_20'],
'spray_75_lying' : ['75_12', '75_13', '75_14', '75_15', '75_16', '75_17', '75_18', '75_19', '75_20', '75_21'],
'spray_50_lying' : ['50_12', '50_13', '50_14', '50_15', '50_16', '50_17', '50_18', '50_19', '50_20'],
'spray_25_lying' : ['25_12', '25_13', '25_14', '25_15', '25_16', '25_17', '25_18', '25_19', '25_20'],
'spray_0_lying' : ['0_11', '0_12', '0_13', '0_14', '0_15', '0_16', '0_17', '0_18', '0_19']
}
# JSON 파일로 저장하기
# 'w'는 쓰기 모드를 의미합니다.
# indent=4 옵션은 JSON 파일을 예쁘게 정렬해줘서 가독성을 높입니다.
with open('data.json', 'w', encoding='utf-8') as f:
json.dump(data_to_save, f, ensure_ascii=False, indent=4)
print("data.json 파일이 성공적으로 저장되었습니다.")
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