Let’s say I have a pandas df like this:
| name | color of clothing | age |occupation| | John | yellow | 34 | janitor | | Carl | red | 27 | doctor | | Claire | green | 33 | teacher | | Lisa | blue | 21 | Student | |........|...................| ....|..........|
I would like to transform it in a json format like this:
[
{ "name": "John,
"color of clothing": "yellow",
"age":"34",
"occupation": "janitor"
},
{ "name": "Carl",
"color of clothing": "red",
"age":"27",
"occupation": "doctor"
},
{ "name": "Claire",
"color of clothing": "green",
"age":"33",
"occupation": "teacher"
},
{ "name": "Lisa",
"color of clothing": "blue",
"age":"21",
"occupation": "student"
}
]
How can I do this? The nearest match I had was using df.to_json(orient="index") but what I’ve got was a structure like this:
{"0":{ "name": "John,
"color of clothing": "yellow",
"age":"34",
"occupation": "janitor"
}
},
"1":{ "name": "Carl",
"color of clothing": "red",
"age":"27",
"occupation": "doctor"
}}
...
Would be really thankful for any help!
Answers:
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Method 1
Use df.to_dict('records')
>>> df
a b c d
0 1 1 1 1
1 2 2 2 2
>>> df.to_dict('records')
[{'a': 1, 'b': 1, 'c': 1, 'd': 1}, {'a': 2, 'b': 2, 'c': 2, 'd': 2}]
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