Extract key , value from dictionary and store it in new list
Question:
I have data in the following format.
{"id": 0, "key1": value, "key2": "value", "imp_key": {"sub_key1": 5, "sub_key2": 10, "sub_key3": 15}}
{"id": 1, "key1": value, "key2": "value", "imp_key": {"sub_key1": 5, "sub_key2": 10, "sub_key3": 15}}
{"id": 2, "key1": value, "key2": "value", "imp_key": {"sub_key1": 5, "sub_key2": 10, "sub_key3": 15}}
I want to extract the key ‘id’ and ‘imp_key’ features from this data and store them in a new list. The dataset is quiet big, but similar format. The subkey, value pair content numeric data.
desired output:
[{"id": 0, "imp_key": {"sub_key1": 5, "sub_key2": 10, "sub_key3": 15}},
{"id": 1, "imp_key": {"sub_key1": 5, "sub_key2": 10, "sub_key3": 15}},
{"id": 2, "imp_key": {"sub_key1": 5, "sub_key2": 10, "sub_key3": 15}}
]
Can anyone help with extracting the data from list?
Thank you.
Answers:
Assuming that your input data is actually in the format:
l = [{"id": 0, "key1": "value", "key2": "value", "imp_key": {"sub_key1": None, "sub_key2": None, "sub_key3": None}},
{"id": 1, "key1": "value", "key2": "value", "imp_key": {"sub_key1": None, "sub_key2": None, "sub_key3": None}},
{"id": 2, "key1": "value", "key2": "value", "imp_key": {"sub_key1": None, "sub_key2": None, "sub_key3": None}}]
You could do something like this:
newl = []
for x in l:
newx = x.copy()
newx.pop("key1")
newx.pop("key2")
newl.append(newx)
print(newl)
Output:
[{'id': 0, 'imp_key': {'sub_key1': None, 'sub_key2': None, 'sub_key3': None}}, {'id': 1, 'imp_key': {'sub_key1': None, 'sub_key2': None, 'sub_key3': None}}, {'id': 2, 'imp_key': {'sub_key1': None, 'sub_key2': None, 'sub_key3': None}}]
I have data in the following format.
{"id": 0, "key1": value, "key2": "value", "imp_key": {"sub_key1": 5, "sub_key2": 10, "sub_key3": 15}}
{"id": 1, "key1": value, "key2": "value", "imp_key": {"sub_key1": 5, "sub_key2": 10, "sub_key3": 15}}
{"id": 2, "key1": value, "key2": "value", "imp_key": {"sub_key1": 5, "sub_key2": 10, "sub_key3": 15}}
I want to extract the key ‘id’ and ‘imp_key’ features from this data and store them in a new list. The dataset is quiet big, but similar format. The subkey, value pair content numeric data.
desired output:
[{"id": 0, "imp_key": {"sub_key1": 5, "sub_key2": 10, "sub_key3": 15}},
{"id": 1, "imp_key": {"sub_key1": 5, "sub_key2": 10, "sub_key3": 15}},
{"id": 2, "imp_key": {"sub_key1": 5, "sub_key2": 10, "sub_key3": 15}}
]
Can anyone help with extracting the data from list?
Thank you.
Assuming that your input data is actually in the format:
l = [{"id": 0, "key1": "value", "key2": "value", "imp_key": {"sub_key1": None, "sub_key2": None, "sub_key3": None}},
{"id": 1, "key1": "value", "key2": "value", "imp_key": {"sub_key1": None, "sub_key2": None, "sub_key3": None}},
{"id": 2, "key1": "value", "key2": "value", "imp_key": {"sub_key1": None, "sub_key2": None, "sub_key3": None}}]
You could do something like this:
newl = []
for x in l:
newx = x.copy()
newx.pop("key1")
newx.pop("key2")
newl.append(newx)
print(newl)
Output:
[{'id': 0, 'imp_key': {'sub_key1': None, 'sub_key2': None, 'sub_key3': None}}, {'id': 1, 'imp_key': {'sub_key1': None, 'sub_key2': None, 'sub_key3': None}}, {'id': 2, 'imp_key': {'sub_key1': None, 'sub_key2': None, 'sub_key3': None}}]