{"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":"6d06867f-70b9-5bab-a289-ef9f4d2b7683","task_key":"default--test--432","task_revision_id":"1","upstream_id":"432","short_description":"I try to retrieve percentiles from an array with NoData values. In my case the…","config":"default","split":"test","body":"{\"library\":\"Numpy\",\"prompt\":\"Problem:\\nI try to retrieve percentiles from an array with NoData values. In my case the Nodata values are represented by -3.40282347e+38. I thought a masked array would exclude this values (and other that is lower than 0)from further calculations. I succesfully create the masked array but for the np.percentile() function the mask has no effect.\\n>>> DataArray = np.array(data)\\n>>> DataArray\\n([[ value, value...]], dtype=float32)\\n>>> masked_data = ma.masked_where(DataArray < 0, DataArray)\\n>>> percentile = 5\\n>>> prob = np.percentile(masked_data, percentile)\\n>>> print(prob)\\n -3.40282347e+38\\nA:\\n<code>\\nimport numpy as np\\nDataArray = np.arange(-5.5, 10.5)\\npercentile = 50\\n</code>\\nprob = ... # 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":[]}