python - Convierta diccionarios con una lista de valores en un marco de datos

pandas dictionary

Question

Digamos que tengo tres diccionarios

dictionary_col2
{''MOB'': [1, 2], ''ASP'': [1, 2], ''YIP'': [1, 2]}

 dictionary_col3

{''MOB'': [''MOB_L001_R1_001.gz'',
         ''MOB_L002_R1_001.gz''],
 ''ASP'': [''ASP_L001_R1_001.gz'',
         ''ASP_L002_R1_001.gz''],
 ''YIP'': [''YIP_L001_R1_001.gz'',
         ''YIP_L002_R1_001.gz'']}

dictionary_col4

{''MOB'': [''MOB_L001_R2_001.gz'',
         ''MOB_L002_R2_001.gz''],
 ''ASP'': [''ASP_L001_R2_001.gz'',
         ''ASP_L002_R2_001.gz''],
 ''YIP'': [''YIP_L001_R2_001.gz'',
         ''YIP_L002_R2_001.gz'']}

Quiero convertir los diccionarios anteriores en un marco de datos. He probado lo siguiente,

df = pd.DataFrame([dictionary_col2, dictionary_col3, dictionary_col4]) El marco de datos df se ve así,

                ASP MOB YIP
0   [1, 2]  [1, 2]  [1, 2]
1   [ASP_L001_R1_001.gz, ASP_L002_R1_001.gz]    [MOB_L001_R1_001.gz, MOB_L002_R1_001.gz]    [YIP_L001_R1_001.gz, YIP_L002_R1_001.gz]
2   [ASP_L001_R2_001.gz, ASP_L002_R2_001.gz]    [MOB_L001_R2_001.gz, MOB_L002_R2_001.gz]    [YIP_L001_R2_001.gz, YIP_L002_R2_001.gz]

Mi objetivo es tener un marco de datos con las siguientes columnas:

    col1  col2 col3              col4 
    MOB   1   MOB_L001_R1_001.gz MOB_L001_R2_001.gz      
    MOB   2   MOB_L002_R1_001.gz MOB_L002_R2_001.gz 
    ASP   1   ASP_L001_R1_001.gz ASP_L001_R2_001.gz 
    ASP   2   ASP_L002_R1_001.gz MOB_L002_R2_001.gz 
    YIP   1   YIP_L001_R1_001.gz YIP_L001_R2_001.gz
    YIP   2   YIP_L002_R1_001.gz YIP_L002_R2_001.gz

¡Cualquier ayuda / sugerencia es apreciada!

Answer 1

IIUC, puedes hacer:

pd.concat([pd.DataFrame(d).stack() for d in (d1,d2,d3)], axis=1)

Salida:

       0                   1                   2
0 MOB  1  MOB_L001_R1_001.gz  MOB_L001_R2_001.gz
  ASP  1  ASP_L001_R1_001.gz  ASP_L001_R2_001.gz
  YIP  1  YIP_L001_R1_001.gz  YIP_L001_R2_001.gz
1 MOB  2  MOB_L002_R1_001.gz  MOB_L002_R2_001.gz
  ASP  2  ASP_L002_R1_001.gz  ASP_L002_R2_001.gz
  YIP  2  YIP_L002_R1_001.gz  YIP_L002_R2_001.gz

Answer 2

Lo que puede hacer con concat con aviso de explode en pandas 0.25.0

pd.concat([pd.Series(x).explode() for x in [d1,d2]],axis=1)

Answer 3

dict_list = [dictionary_col2, dictionary_col3, dictionary_col4]

df = pd.concat([pd.DataFrame.from_dict(x, orient = ''index'').unstack() for x in dict_list], axis = 1)

salida:

>>> df

        0   1                   2
0   MOB 1   MOB_L001_R1_001.gz  MOB_L001_R2_001.gz
    ASP 1   ASP_L001_R1_001.gz  ASP_L001_R2_001.gz
    YIP 1   YIP_L001_R1_001.gz  YIP_L001_R2_001.gz
1   MOB 2   MOB_L002_R1_001.gz  MOB_L002_R2_001.gz
    ASP 2   ASP_L002_R1_001.gz  ASP_L002_R2_001.gz
    YIP 2   YIP_L002_R1_001.gz  YIP_L002_R2_001.gz

Answer 4

pd.DataFrame({''col2'': pd.DataFrame(col2).unstack(),
              ''col3'': pd.DataFrame(col3).unstack(),
              ''col4'': pd.DataFrame(col4).unstack()}).reset_index(level=0)

devoluciones

  level_0  col2                col3                col4
0     ASP     1  ASP_L001_R1_001.gz  ASP_L001_R2_001.gz
1     ASP     2  ASP_L002_R1_001.gz  ASP_L002_R2_001.gz
0     MOB     1  MOB_L001_R1_001.gz  MOB_L001_R2_001.gz
1     MOB     2  MOB_L002_R1_001.gz  MOB_L002_R2_001.gz
0     YIP     1  YIP_L001_R1_001.gz  YIP_L001_R2_001.gz
1     YIP     2  YIP_L002_R1_001.gz  YIP_L002_R2_001.gz