{"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":"cdb69455-5d97-5e61-b2bd-19063805df81","task_key":"default--test--459","task_revision_id":"1","upstream_id":"459","short_description":"I want to be able to calculate the mean of A:","config":"default","split":"test","body":"{\"library\":\"Numpy\",\"prompt\":\"Problem:\\nI want to be able to calculate the mean of A:\\n import numpy as np\\n A = ['33.33', '33.33', '33.33', '33.37']\\n NA = np.asarray(A)\\n AVG = np.mean(NA, axis=0)\\n print AVG\\nThis does not work, unless converted to:\\nA = [33.33, 33.33, 33.33, 33.37]\\nIs it possible to compute AVG WITHOUT loops?\\nA:\\n<code>\\nimport numpy as np\\nA = ['33.33', '33.33', '33.33', '33.37']\\nNA = np.asarray(A)\\n</code>\\nAVG = ... # 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":[]}