How to convert Pandas Dataframe to list of dict for each row

Question

Is there any possible way to convert pandas Dataframe to dict with list for each row?

                      Open   High  Low   Close  

2021-12-15 12:30:00  1.9000  1.91  1.86  1.8850        
2021-12-15 13:30:00  1.8881  1.95  1.88  1.9400     
2021-12-15 14:30:00  1.9350  1.95  1.86  1.8956

The output I want

{x:2021-12-15 12:30:00, y:[1.9000,1.91,1.86,1.8850]}

{x:2021-12-15 13:30:00, y:[1.8881,1.95,1.88,1.9400]}  

{x:2021-12-15 14:30:00, y:[1.9350,1.95,1.86,1.8956]}

Asked By: Ujjal Modak

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Source

Answer 1

You can use:

dictt=list(zip(df.index,df[['Open','High','Low','Close']].values.tolist()))
final =[{'x':i[0], 'y':i[1]} for i in dictt]

or without loop:

df['y']=df[['Open','High','Low','Close']].values.tolist()
final = df.reset_index().rename(columns={'index':'x'})[['x','y']].to_dict('records')

Output:

[
    {
        "x":"2021-12-15 12:30:00",
        "y":[
            1.9,
            1.91,
            1.86,
            1.885
        ]
    },
    {
        "x":"2021-12-15 13:30:00",
        "y":[
            1.8881,
            1.95,
            1.88,
            1.94
        ]
    },
    {
        "x":"2021-12-15 14:30:00",
        "y":[
            1.935,
            1.95,
            1.86,
            1.8956
        ]
    }
]

Answered By: Bushmaster

Answer 2

If you want to convert a dataframe to a list of dict,you simply need to specify orient=’index’ … So in your case if:

df = pd.DataFrame({'o':[1,2,3],'l':[4,5,6],'x':[7,8,9]},index=['t1','t2','t3'])

then you can do:

[{'x':k,'y':list(v.values())} for k,v in df.to_dict(orient='index').items()]

or also:

df2 = pd.DataFrame(df.apply(lambda x:list(x[df.columns]), axis=1))
list(df2.reset_index().rename(columns={'index':'x',0:'y'}).to_dict(orient='index').values())

Either results to:

[{'x': 't1', 'y': [1, 4, 7]},
 {'x': 't2', 'y': [2, 5, 8]},
 {'x': 't3', 'y': [3, 6, 9]}]

Answered By: ntg

Answer 3

df1.apply(lambda ss:ss.tolist(),axis=1).reset_index().set_axis(['x','y'],axis=1)
    .apply(lambda ss:ss.to_dict(),axis=1)

output：

{'x': '2021-12-15 12:30:00', 'y': [1.9, 1.91, 1.86, 1.885]}
{'x': '2021-12-15 13:30:00', 'y': [1.8881, 1.95, 1.88, 1.94]}
{'x': '2021-12-15 14:30:00', 'y': [1.935, 1.95, 1.86, 1.8956]}

Answered By: G.G

How to convert Pandas Dataframe to list of dict for each row

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