pandas - Transposing one column in python dataframe -


i have following:

index  id     speed  _avg_val 245    1      10      30.5 246    1      2       25.1

i want transpose column id , have following:

id (index)    speed   _avg_val   speed_y   _avg_val_y 1             10      30.5       2         25.1

i tried use method transposing 1 column in python pandas simplest index possible not work multiple columns.

i think can first remove column index, add column id index, unstack , sort second level of multiindex in columns sort_index:

print (df)    index  id  speed  _avg_val 0    245   1     10      30.5 1    246   1      2      25.1   df = df.drop('index', axis=1)        .set_index('id', append=true)        .unstack(0)        .sort_index(axis=1, level=1)  #remove multiindex columns df.columns = ['_'.join((col[0], str(col[1]))) col in df.columns]  print (df)     speed_0  _avg_val_0  speed_1  _avg_val_1 id                                           1        10        30.5        2        25.1

if there more values in id column, need use cumcount:

print (df)    index  id  speed  _avg_val 0    245   1     10      30.5 1    246   1      2      25.1 2    245   2      5      37.5 3    246   2     28      28.1 4    246   2     27      23.0  df = df.drop('index', axis=1) df['g'] = df.groupby('id').cumcount() df = df.set_index(['id', 'g']).unstack(fill_value=0).sort_index(axis=1, level=1) df.columns = ['_'.join((col[0], str(col[1]))) col in df.columns]  print (df)     speed_0  _avg_val_0  speed_1  _avg_val_1  speed_2  _avg_val_2 id                                                                1        10        30.5        2        25.1        0         0.0 2         5        37.5       28        28.1       27        23.0

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