{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"ds-1000","formal_name":"DS-1000","introduction":"DS-1000 builds 1,000 data-science problems from real StackOverflow questions across seven libraries including NumPy, Pandas and Matplotlib. The problems are perturbed so that recalling the original answer does not solve them.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://ds1000-code-gen.github.io/","indexing_mode":"index","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[],"history":"","construction":"","limitations":"","saturation":"","scores":[]}},"task_id":"94342b26-f493-5564-906a-418e7abdef04","task_key":"default--test--270","task_revision_id":"1","upstream_id":"270","short_description":"I've seen similar questions but mine is more direct and abstract.","config":"default","split":"test","body":"{\"library\":\"Pandas\",\"prompt\":\"Problem:\\nI've seen similar questions but mine is more direct and abstract.\\n\\nI have a dataframe with \\\"n\\\" rows, being \\\"n\\\" a small number.We can assume the index is just the row number. I would like to convert it to just one row.\\n\\nSo for example if I have\\n\\nA,B,C,D,E\\n---------\\n1,2,3,4,5\\n6,7,8,9,10\\n11,12,13,14,5\\nI want as a result a dataframe with a single row:\\n\\nA_0,B_0,C_0,D_0,E_0,A_1,B_1_,C_1,D_1,E_1,A_2,B_2,C_2,D_2,E_2\\n--------------------------\\n1,2,3,4,5,6,7,8,9,10,11,12,13,14,5\\nWhat would be the most idiomatic way to do this in Pandas?\\n\\nA:\\n<code>\\nimport pandas as pd\\nimport numpy as np\\n\\ndf = pd.DataFrame([[1,2,3,4,5],[6,7,8,9,10],[11,12,13,14,15]],columns=['A','B','C','D','E'])\\n</code>\\ndf = ... # put solution in this variable\\nBEGIN SOLUTION\\n<code>\\n\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://ds1000-code-gen.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}