{"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":"6998a6f5-b841-5431-aa31-199288cf60c3","task_key":"default--test--294","task_revision_id":"1","upstream_id":"294","short_description":"I want to figure out how to remove nan values from my array.","config":"default","split":"test","body":"{\"library\":\"Numpy\",\"prompt\":\"Problem:\\nI want to figure out how to remove nan values from my array. \\nFor example, My array looks something like this:\\nx = [[1400, 1500, 1600, nan], [1800, nan, nan ,1700]] #Not in this exact configuration\\nHow can I remove the nan values from x?\\nNote that after removing nan, the result cannot be np.array due to dimension mismatch, so I want to convert the result to list of lists.\\nx = [[1400, 1500, 1600], [1800, 1700]]\\nA:\\n<code>\\nimport numpy as np\\nx = np.array([[1400, 1500, 1600, np.nan], [1800, np.nan, np.nan ,1700]])\\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":[]}