How to convert rows in DataFrame in Python to dictionaries
Question: For example, I have DataFrame now as

    
    
    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 to convert it as

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

Anyway to do that?

Thanks in advance!


Answer: 
    import pandas as pd
    
    # your 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}]
    

