dictionary - How to convert rows in DataFrame in Python to dictionaries -

for example, have dataframe

id score1   score2  score3  score4  score5 1  0.000000     0.108659    0.000000    0.078597    1 2  0.053238     0.308253    0.286353    0.446433    1 3  0.000000     0.083979    0.808983    0.233052    1 

i want convert

id scoredict 1  {'1': 0, '2': 0.1086, ...} 2  {...} 3  {...} 

anyway that?

thanks in advance!

import pandas pd  # df # ========================= print(df)     id  score1  score2  score3  score4  score5 0   1  0.0000  0.1087  0.0000  0.0786       1 1   2  0.0532  0.3083  0.2864  0.4464       1 2   3  0.0000  0.0840  0.8090  0.2331       1  # to_dict # ========================= df.to_dict(orient='records')  out[318]:  [{'id': 1.0,   'score1': 0.0,   'score2': 0.10865899999999999,   'score3': 0.0,   'score4': 0.078597,   'score5': 1.0},  {'id': 2.0,   'score1': 0.053238000000000001,   'score2': 0.308253,   'score3': 0.28635300000000002,   'score4': 0.44643299999999997,   'score5': 1.0},  {'id': 3.0,   'score1': 0.0,   'score2': 0.083978999999999998,   'score3': 0.80898300000000001,   'score4': 0.23305200000000001,   'score5': 1.0}]