{"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":"a173222e-13f5-5ee9-ab4e-f9ea9964bea3","task_key":"default--test--296","task_revision_id":"1","upstream_id":"296","short_description":"Let's say I have a 1d numpy positive integer array like this","config":"default","split":"test","body":"{\"library\":\"Numpy\",\"prompt\":\"Problem:\\nLet's say I have a 1d numpy positive integer array like this\\na = array([1,2,3])\\nI would like to encode this as a 2D one-hot array(for natural number)\\nb = array([[0,1,0,0], [0,0,1,0], [0,0,0,1]])\\nThe leftmost element corresponds to 0 in `a`(NO MATTER whether 0 appears in `a` or not.), and the rightmost corresponds to the largest number.\\nIs there a quick way to do this only using numpy? Quicker than just looping over a to set elements of b, that is.\\nA:\\n<code>\\nimport numpy as np\\na = np.array([1, 0, 3])\\n</code>\\nb = ... # 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":[]}