{"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":"d1f37831-0c1b-5bfe-b8c8-702ad40553ae","task_key":"default--test--293","task_revision_id":"1","upstream_id":"293","short_description":"I want to figure out how to replace nan values from my array with np.inf.","config":"default","split":"test","body":"{\"library\":\"Numpy\",\"prompt\":\"Problem:\\nI want to figure out how to replace nan values from my array with np.inf. \\nFor example, My array looks something like this:\\nx = [1400, 1500, 1600, nan, nan, nan ,1700] #Not in this exact configuration\\nHow can I replace the nan values from x?\\nA:\\n<code>\\nimport numpy as np\\nx = np.array([1400, 1500, 1600, np.nan, np.nan, np.nan ,1700])\\n</code>\\nx = ... # 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":[]}