How can i convert my python dictionary to below format
0
my dictionary:
[
{
"male_Unmarried": 792,
"male_Husband": 13192,
"male_own_child": 2823,
"male_not_in_family": 4430,
"male_wife": 2,
}
]
expecting:
[
{
"label": "male_Unmarried",
"value": 792
},
{
"label": "male_Husband",
"value": 13192
},
{
"label": "male_own_child",
"value": 2823
},
{
"label": "male_not_in_family",
"value": 4430
},
{
"label": "male_wife",
"value": 2
}
]
how can i convert first dictionay like second one.
I want for each dictionay of first one
the key will be label and value will be value of first dictonary.
Please have a look
python
asked Nov 22 at 18:35
soubhagya
597
add a comment |
0
my dictionary:
[
{
"male_Unmarried": 792,
"male_Husband": 13192,
"male_own_child": 2823,
"male_not_in_family": 4430,
"male_wife": 2,
}
]
expecting:
[
{
"label": "male_Unmarried",
"value": 792
},
{
"label": "male_Husband",
"value": 13192
},
{
"label": "male_own_child",
"value": 2823
},
{
"label": "male_not_in_family",
"value": 4430
},
{
"label": "male_wife",
"value": 2
}
]
how can i convert first dictionay like second one.
I want for each dictionay of first one
the key will be label and value will be value of first dictonary.
Please have a look
python
asked Nov 22 at 18:35
soubhagya
597
Do you actually want to JSON-ize it?
– user2722968
Nov 22 at 18:37
add a comment |
0
0
0
my dictionary:
[
{
"male_Unmarried": 792,
"male_Husband": 13192,
"male_own_child": 2823,
"male_not_in_family": 4430,
"male_wife": 2,
}
]
expecting:
[
{
"label": "male_Unmarried",
"value": 792
},
{
"label": "male_Husband",
"value": 13192
},
{
"label": "male_own_child",
"value": 2823
},
{
"label": "male_not_in_family",
"value": 4430
},
{
"label": "male_wife",
"value": 2
}
]
how can i convert first dictionay like second one.
I want for each dictionay of first one
the key will be label and value will be value of first dictonary.
Please have a look
python
asked Nov 22 at 18:35
soubhagya
597
my dictionary:
[
{
"male_Unmarried": 792,
"male_Husband": 13192,
"male_own_child": 2823,
"male_not_in_family": 4430,
"male_wife": 2,
}
]
expecting:
[
{
"label": "male_Unmarried",
"value": 792
},
{
"label": "male_Husband",
"value": 13192
},
{
"label": "male_own_child",
"value": 2823
},
{
"label": "male_not_in_family",
"value": 4430
},
{
"label": "male_wife",
"value": 2
}
]
how can i convert first dictionay like second one.
I want for each dictionay of first one
the key will be label and value will be value of first dictonary.
Please have a look
python
python
asked Nov 22 at 18:35
soubhagya
597
asked Nov 22 at 18:35
soubhagya
597
asked Nov 22 at 18:35
soubhagya
597
asked Nov 22 at 18:35
soubhagya
597
asked Nov 22 at 18:35
soubhagya
597
597
Do you actually want to JSON-ize it?
– user2722968
Nov 22 at 18:37
add a comment |
Do you actually want to JSON-ize it?
– user2722968
Nov 22 at 18:37
Do you actually want to JSON-ize it?
– user2722968
Nov 22 at 18:37
Do you actually want to JSON-ize it?
– user2722968
Nov 22 at 18:37
add a comment |
2 Answers
2
active
oldest
votes
3
You could use a list-comprehension:
lst = [
{
"male_Unmarried": 792,
"male_Husband": 13192,
"male_own_child": 2823,
"male_not_in_family": 4430,
"male_wife": 2,
}
]
print([{'label': k, 'value': v} for k, v in lst[0].items()])
# [{'label': 'male_Unmarried', 'value': 792},
# {'label': 'male_Husband', 'value': 13192},
# {'label': 'male_own_child', 'value': 2823},
# {'label': 'male_not_in_family', 'value': 4430},
# {'label': 'male_wife', 'value': 2}]
answered Nov 22 at 18:38
Austin
9,4023828
add a comment |
1
lst=[ {"male_Unmarried": 792,"male_Husband": 13192,"male_own_child": 2823,
"male_not_in_family": 4430,"male_wife": 2,} ]
lst_new = [{"label":i,"value":a[0][i]} for i in lst[0]]
lst_new
[{'label': 'male_Unmarried', 'value': 792},
{'label': 'male_wife', 'value': 2},
{'label': 'male_own_child', 'value': 2823},
{'label': 'male_not_in_family', 'value': 4430},
{'label': 'male_Husband', 'value': 13192}]
answered Nov 22 at 18:53
cph_sto
1,113219
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
3
You could use a list-comprehension:
lst = [
{
"male_Unmarried": 792,
"male_Husband": 13192,
"male_own_child": 2823,
"male_not_in_family": 4430,
"male_wife": 2,
}
]
print([{'label': k, 'value': v} for k, v in lst[0].items()])
# [{'label': 'male_Unmarried', 'value': 792},
# {'label': 'male_Husband', 'value': 13192},
# {'label': 'male_own_child', 'value': 2823},
# {'label': 'male_not_in_family', 'value': 4430},
# {'label': 'male_wife', 'value': 2}]
answered Nov 22 at 18:38
Austin
9,4023828
add a comment |
3
You could use a list-comprehension:
lst = [
{
"male_Unmarried": 792,
"male_Husband": 13192,
"male_own_child": 2823,
"male_not_in_family": 4430,
"male_wife": 2,
}
]
print([{'label': k, 'value': v} for k, v in lst[0].items()])
# [{'label': 'male_Unmarried', 'value': 792},
# {'label': 'male_Husband', 'value': 13192},
# {'label': 'male_own_child', 'value': 2823},
# {'label': 'male_not_in_family', 'value': 4430},
# {'label': 'male_wife', 'value': 2}]
answered Nov 22 at 18:38
Austin
9,4023828
add a comment |
3
3
3
You could use a list-comprehension:
lst = [
{
"male_Unmarried": 792,
"male_Husband": 13192,
"male_own_child": 2823,
"male_not_in_family": 4430,
"male_wife": 2,
}
]
print([{'label': k, 'value': v} for k, v in lst[0].items()])
# [{'label': 'male_Unmarried', 'value': 792},
# {'label': 'male_Husband', 'value': 13192},
# {'label': 'male_own_child', 'value': 2823},
# {'label': 'male_not_in_family', 'value': 4430},
# {'label': 'male_wife', 'value': 2}]
answered Nov 22 at 18:38
Austin
9,4023828
You could use a list-comprehension:
lst = [
{
"male_Unmarried": 792,
"male_Husband": 13192,
"male_own_child": 2823,
"male_not_in_family": 4430,
"male_wife": 2,
}
]
print([{'label': k, 'value': v} for k, v in lst[0].items()])
# [{'label': 'male_Unmarried', 'value': 792},
# {'label': 'male_Husband', 'value': 13192},
# {'label': 'male_own_child', 'value': 2823},
# {'label': 'male_not_in_family', 'value': 4430},
# {'label': 'male_wife', 'value': 2}]
answered Nov 22 at 18:38
Austin
9,4023828
answered Nov 22 at 18:38
Austin
9,4023828
answered Nov 22 at 18:38
Austin
9,4023828
answered Nov 22 at 18:38
Austin
9,4023828
9,4023828
add a comment |
add a comment |
1
lst=[ {"male_Unmarried": 792,"male_Husband": 13192,"male_own_child": 2823,
"male_not_in_family": 4430,"male_wife": 2,} ]
lst_new = [{"label":i,"value":a[0][i]} for i in lst[0]]
lst_new
[{'label': 'male_Unmarried', 'value': 792},
{'label': 'male_wife', 'value': 2},
{'label': 'male_own_child', 'value': 2823},
{'label': 'male_not_in_family', 'value': 4430},
{'label': 'male_Husband', 'value': 13192}]
answered Nov 22 at 18:53
cph_sto
1,113219
add a comment |
1
lst=[ {"male_Unmarried": 792,"male_Husband": 13192,"male_own_child": 2823,
"male_not_in_family": 4430,"male_wife": 2,} ]
lst_new = [{"label":i,"value":a[0][i]} for i in lst[0]]
lst_new
[{'label': 'male_Unmarried', 'value': 792},
{'label': 'male_wife', 'value': 2},
{'label': 'male_own_child', 'value': 2823},
{'label': 'male_not_in_family', 'value': 4430},
{'label': 'male_Husband', 'value': 13192}]
answered Nov 22 at 18:53
cph_sto
1,113219
add a comment |
1
1
1
lst=[ {"male_Unmarried": 792,"male_Husband": 13192,"male_own_child": 2823,
"male_not_in_family": 4430,"male_wife": 2,} ]
lst_new = [{"label":i,"value":a[0][i]} for i in lst[0]]
lst_new
[{'label': 'male_Unmarried', 'value': 792},
{'label': 'male_wife', 'value': 2},
{'label': 'male_own_child', 'value': 2823},
{'label': 'male_not_in_family', 'value': 4430},
{'label': 'male_Husband', 'value': 13192}]
answered Nov 22 at 18:53
cph_sto
1,113219
lst=[ {"male_Unmarried": 792,"male_Husband": 13192,"male_own_child": 2823,
"male_not_in_family": 4430,"male_wife": 2,} ]
lst_new = [{"label":i,"value":a[0][i]} for i in lst[0]]
lst_new
[{'label': 'male_Unmarried', 'value': 792},
{'label': 'male_wife', 'value': 2},
{'label': 'male_own_child', 'value': 2823},
{'label': 'male_not_in_family', 'value': 4430},
{'label': 'male_Husband', 'value': 13192}]
answered Nov 22 at 18:53
cph_sto
1,113219
edited Nov 22 at 18:58
answered Nov 22 at 18:53
cph_sto
1,113219
answered Nov 22 at 18:53
cph_sto
1,113219
answered Nov 22 at 18:53
cph_sto
1,113219
1,113219
add a comment |
add a comment |
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Do you actually want to JSON-ize it?
– user2722968
Nov 22 at 18:37