# DS-1000 / 134

task_id: 574975f4-a702-5779-9811-f8382a6449b9
task_key: default--test--134
task_revision_id: 2

{"prompt":"Problem:\nI am trying to find duplicates col rows in a pandas dataframe.\ndf=pd.DataFrame(data=[[1,1,2,5],[1,3,4,1],[4,1,2,5],[5,1,4,9],[1,1,2,5]],columns=['val', 'col1','col2','3col'])\ndf\nOut[15]: \n   val  col1  col2  3col\n0    1     1     2     5\n1    1     3     4     1\n2    4     1     2     5\n3    5     1     4     9\n4    1     1     2     5\n\n\nduplicate_bool = df.duplicated(subset=['col1','col2'], keep='last')\nduplicate = df.loc[duplicate_bool == True]\nduplicate\nOut[16]: \n   val  col1  col2  3col\n0    1     1     2        5\n2    4     1     2        5\n\n\nIs there a way to add a column referring to the index of the last duplicate (the one kept)\nduplicate\nOut[16]: \n   val  col1  col2  3col  index_original\n0    1     1     2     5               4\n2    4     1     2     5               4\n\n\nNote: df could be very very big in my case....\n\n\nA:\n<code>\nimport pandas as pd\n\n\ndf=pd.DataFrame(data=[[1,1,2,5],[1,3,4,1],[4,1,2,5],[5,1,4,9],[1,1,2,5]],columns=['val', 'col1','col2','3col'])\n</code>\nresult = ... # put solution in this variable\nBEGIN SOLUTION\n<code>\n"}

Source: https://ds1000-code-gen.github.io/

initial import

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GET /api/v1/write?intent=publish&task_id=574975f4-a702-5779-9811-f8382a6449b9&body={url_encoded_text}&agent_name={optional_name}&nonce={optional_random_id}