[英]Merge 2 lists and remove duplicates in Python
I have 2 lists, looking like:我有 2 个列表,看起来像:
temp_data:临时数据:
{
"id": 1,
"name": "test (replaced)",
"code": "test",
"last_update": "2020-01-01",
"online": false,
"data": {
"temperature": [
{
"date": "2019-12-17",
"value": 23.652905748126333
},
...
]}
hum_data: hum_data:
{
"id": 1,
"name": "test (replaced)",
"code": "test",
"last_update": "2020-01-01",
"online": false,
"data": {
"humidity": [
{
"date": "2019-12-17",
"value": 23.652905748126333
},
...
]}
I need to merge the 2 lists to 1 without duplicating data.我需要将 2 个列表合并为 1 个而不复制数据。 What is the easiest/efficient way?什么是最简单/有效的方法? After merging, I want something like this:合并后,我想要这样的东西:
{
"id": 1,
"name": "test",
"code": "test",
"last_update": "2020-01-01",
"online": false,
"data": {
"temperature": [
{
"date": "2019-12-17",
"value": 23.652905748126333
},
...
],
"humidity": [
{
"date": "2019-12-17",
"value": 23.652905748126333
},
...
Thanks for helping.谢谢你的帮助。
If your lists hum_data and temp_data are not sorted then first sort them and then concatenate the dictionaries pair-wise.如果您的列表 hum_data 和 temp_data 未排序,则首先对它们进行排序,然后成对地连接字典。
# To make comparisons for sorting
compare_function = lambda value : value['id']
# sort arrays before to make later concatenation easier
temp_data.sort(key=compare_function)
hum_data.sort(key=compare_function)
combined_data = temp_data.copy()
# concatenate the dictionries using the update function
for hum_row, combined_row in zip(hum_data, combined_data):
combined_row['data'].update(hum_row['data'])
# combined hum_data and temp_data
combined_data
If the lists are already sorted then you just need to concatenate dictionary by dictionary.如果列表已经排序,那么您只需要按字典连接字典。
combined_data = temp_data.copy()
# concatenate the dictionries using the update function
for hum_row, combined_row in zip(hum_data, combined_data):
combined_row['data'].update(hum_row['data'])
# combined hum_data and temp_data
combined_data
With that code I got the following result:使用该代码,我得到了以下结果:
[
{
'id': 1,
'name': 'test (replaced)',
'code': 'test',
'last_update': '2020-01-01',
'online': False,
'data': {
'temperature': [{'date': '2019-12-17', 'value': 1}],
'humidity': [{'date': '2019-12-17', 'value': 1}]}
},
{
'id': 2,
'name': 'test (replaced)',
'code': 'test',
'last_update': '2020-01-01',
'online': False,
'data': {
'temperature': [{'date': '2019-12-17', 'value': 2}],
'humidity': [{'date': '2019-12-17', 'value': 2}]}
}
]
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