Create json array using list in python

Question

Suppose we have one data frame df

 id=['abc','xyz','lmn']
 df=pd.DataFrame(id)
 df.columns=['id']
 print(df)

     id
 0  abc
 1  xyz
 2  lmn

I want to generate the following array from it

 idd=[ { 'id': 'abc' ,},
       {'id': 'xyz',},
        {'id':'lmn' ,},]

How can I do it?

Answer 1

You could use method to_dict with records :

In [61]: df
Out[61]:
    id
0  abc
1  xyz
2  lmn

In [62]: df.to_dict('records')
Out[62]: [{'id': 'abc'}, {'id': 'xyz'}, {'id': 'lmn'}]

Edit

It seems that docs lack information about keywords for to_dict method but you could get it from console:

Help on method to_dict in module pandas.core.frame:

to_dict ( orient='dict' ) method of pandas.core.frame.DataFrame instance Convert DataFrame to dictionary.

 Parameters ---------- orient : str {'dict', 'list', 'series', 'split', 'records', 'index'} Determines the type of the values of the dictionary. - dict (default) : dict like {column -> {index -> value}} - list : dict like {column -> [values]} - series : dict like {column -> Series(values)} - split : dict like {index -> [index], columns -> [columns], data -> [values]} - records : list like [{column -> value}, ... , {column -> value}] - index : dict like {index -> {column -> value}} .. versionadded:: 0.17.0 Abbreviations are allowed. `s` indicates `series` and `sp` indicates `split`. Returns ------- result : dict like {column -> {index -> value}}