pandas - Split Python Dataframe into multiple Dataframes (where chosen rows are the same) -


i split 1 dataframe n dataframes based on columns x , z same (as eachother column value).

for example, input:

df =     name x y z other 0     1 1 1 1 1  b    1 1 2 2 2  c    1 2 1 3 3  d    1 2 2 4 4  e    1 1 1 5 5  f    2 1 2 6 6  g    2 2 1 7 7  h    2 2 2 8 8     2 1 1 9 9  j    2 1 2 0

would have output:

df_group_0 =     name x y z other 0     1 1 1 1 2  c    1 2 1 3 4  e    1 1 1 5  df_group_1 =     name x y z other 1  b    1 1 2 2 3  d    1 2 2 4  df_group_2 =     name x y z other 6  g    2 2 1 7 8     2 1 1 9  df_group_3 =     name x y z other 7  h    2 2 2 8 9  j    2 1 2 0

is possible?

groupby generates iterator of tuples first element group id, if iterate through groupers , extract second element each tuple, can list of data frames each having unique group: 

grouper = [g[1] g in df.groupby(['x', 'z'])]  grouper[0] name    x   y   z   other 0     1   1   1   1 2   c   1   2   1   3 4   e   1   1   1   5  grouper[1] name    x   y   z   other 1   b   1   1   2   2 3   d   1   2   2   4  grouper[2] name    x   y   z   other 6   g   2   2   1   7 8     2   1   1   9  grouper[3] name    x   y   z   other 5   f   2   1   2   6 7   h   2   2   2   8 9   j   2   1   2   0

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