Pandas dataframe to json without index

Question

I’m trying to take a dataframe and transform it into a partcular json format.

Here’s my dataframe example:

DataFrame name: Stops
id    location
0     [50, 50]
1     [60, 60]
2     [70, 70]
3     [80, 80]

Here’s the json format I’d like to transform into:

"stops":
[
{
    "id": 1,
    "location": [50, 50]
},
{
    "id": 2,
    "location": [60, 60]
},
... (and so on)
]

Notice it’s a list of dicts. I have it nearly there with the following code:

df.reset_index().to_json(orient='index)

However, that line also includes the index like this:

"stops":
{
"0":
    {
        "id": 0,
        "location": [50, 50]
    },
"1":
    {
        "id": 1,
        "location": [60, 60]
    },
... (and so on)
}

Notice this is a dict of dicts and also includes the index twice (in the first dict and as the “id” in the second dict! Any help would be appreciated.

Asked By: Eric Miller

||

Source

Answer 1

You can use orient='records'

print df.reset_index().to_json(orient='records')

[
     {"id":0,"location":"[50, 50]"},
     {"id":1,"location":"[60, 60]"},
     {"id":2,"location":"[70, 70]"},
     {"id":3,"location":"[80, 80]"}
]

Answered By: Roman Pekar

Answer 2

If you want a Python dict (the JSON-object equivalent in python) not a JSON string:

df.to_dict(orient='records')

Answered By: hzitoun

Answer 3

Since 2017 there is an index=False option. Use it with orient='split' or orient='table'. Credit to this answer on a similar question: https://stackoverflow.com/a/59438648/1056563

    dfj = json.loads(df.to_json(orient='table',index=False))

Answered By: WestCoastProjects

Answer 4

There is another way as well.

df_dict=df.reset_index().to_dict(orient='index')
df_vals=list(df_dict.values())

Answered By: randomGeek4

Pandas dataframe to json without index

Question:

Answers: