{"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":"35960402-0369-5c11-8a7f-ce5e59d8551f","task_key":"default--test--362","task_revision_id":"1","upstream_id":"362","short_description":"arr = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]])","config":"default","split":"test","body":"{\"library\":\"Numpy\",\"prompt\":\"Problem:\\n\\n>>> arr = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]])\\n>>> del_col = [1, 2, 4, 5]\\n>>> arr\\narray([[ 1,  2,  3,  4],\\n       [ 5,  6,  7,  8],\\n       [ 9, 10, 11, 12]])\\nI am deleting some columns(in this example, 1st, 2nd and 4th)\\ndef_col = np.array([1, 2, 4, 5])\\narray([[ 3],\\n       [ 7],\\n       [ 11]])\\nNote that del_col might contain out-of-bound indices, so we should ignore them.\\nAre there any good way ? Please consider this to be a novice question.\\nA:\\n<code>\\nimport numpy as np\\na = np.arange(12).reshape(3, 4)\\ndel_col = np.array([1, 2, 4, 5])\\n</code>\\nresult = ... # 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":[]}