{"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":"6ee5188c-3a13-5a4a-9f3b-878a8a9c2a52","task_key":"default--test--759","task_revision_id":"1","upstream_id":"759","short_description":"I have the following code to run Wilcoxon rank-sum test","config":"default","split":"test","body":"{\"library\":\"Scipy\",\"prompt\":\"Problem:\\nI have the following code to run Wilcoxon rank-sum test \\nprint stats.ranksums(pre_course_scores, during_course_scores)\\nRanksumsResult(statistic=8.1341352369246582, pvalue=4.1488919597127145e-16)\\n\\nHowever, I am interested in extracting the pvalue from the result. I could not find a tutorial about this. i.e.Given two ndarrays, pre_course_scores, during_course_scores, I want to know the pvalue of ranksum. Can someone help?\\n\\nA:\\n<code>\\nimport numpy as np\\nfrom scipy import stats\\nnp.random.seed(10)\\npre_course_scores = np.random.randn(10)\\nduring_course_scores = np.random.randn(10)\\n</code>\\np_value = ... # 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":[]}