{"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":"noindex","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[]}},"task_id":"6006b569-d65d-5d3c-ab5e-02fe89ba1a45","task_key":"default--test--23","task_revision_id":"2","upstream_id":"23","short_description":"I have the following DF","config":"default","split":"test","body":"{\"prompt\":\"Problem:\\nI have the following DF\\n        Date\\n0    2018-01-01\\n1    2018-02-08\\n2    2018-02-08\\n3    2018-02-08\\n4    2018-02-08\\n\\n\\nI want to extract the month name and year in a simple way in the following format:\\n        Date\\n0    Jan-2018\\n1    Feb-2018\\n2    Feb-2018\\n3    Feb-2018\\n4    Feb-2018\\n\\n\\nI have used the df.Date.dt.to_period(\\\"M\\\") which returns \\\"2018-01\\\" format.\\n\\n\\nA:\\n<code>\\nimport pandas as pd\\n\\n\\ndf = pd.DataFrame({'Date':['2019-01-01','2019-02-08','2019-02-08', '2019-03-08']})\\ndf['Date'] = pd.to_datetime(df['Date'])\\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":"noindex","subproblems":[],"grids":[]}