{"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":"04158e0f-49e5-5ee4-912e-80abd1a52f36","task_key":"default--test--780","task_revision_id":"1","upstream_id":"780","short_description":"I have the following data frame:","config":"default","split":"test","body":"{\"library\":\"Scipy\",\"prompt\":\"Problem:\\nI have the following data frame:\\nimport pandas as pd\\nimport io\\nfrom scipy import stats\\ntemp=u\\\"\\\"\\\"probegenes,sample1,sample2,sample3\\n1415777_at Pnliprp1,20,0.00,11\\n1415805_at Clps,17,0.00,55\\n1415884_at Cela3b,47,0.00,100\\\"\\\"\\\"\\ndf = pd.read_csv(io.StringIO(temp),index_col='probegenes')\\ndf\\nIt looks like this\\n                     sample1  sample2  sample3\\nprobegenes\\n1415777_at Pnliprp1       20        0       11\\n1415805_at Clps           17        0       55\\n1415884_at Cela3b         47        0      100\\nWhat I want to do is too perform column-zscore calculation using SCIPY. AND I want to show data and zscore together in a single dataframe. For each element, I want to only keep 3 decimals places. At the end of the day. the result will look like:\\n                               sample1  sample2  sample3\\nprobegenes\\n1415777_at Pnliprp1   data     20.000    0.000    11.000\\n\\t\\t\\t\\t\\tzscore\\t   -0.593    NaN    -1.220\\n1415805_at Clps\\t\\t  data     17.000\\t0.000\\t55.000\\n\\t\\t\\t\\t\\tzscore     -0.815    NaN    -0.009\\n1415884_at Cela3b\\t  data     47.000\\t0.000\\t100.000\\n\\t\\t\\t\\t\\tzscore     1.408     NaN     1.229\\n\\nA:\\n<code>\\nimport pandas as pd\\nimport io\\nimport numpy as np\\nfrom scipy import stats\\n\\ntemp=u\\\"\\\"\\\"probegenes,sample1,sample2,sample3\\n1415777_at Pnliprp1,20,0.00,11\\n1415805_at Clps,17,0.00,55\\n1415884_at Cela3b,47,0.00,100\\\"\\\"\\\"\\ndf = pd.read_csv(io.StringIO(temp),index_col='probegenes')\\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":[]}