{"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":"noindex","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[]}},"task_id":"190c3b1e-093a-5a8b-a460-5a0b4a1a3533","task_key":"default--test--26","task_revision_id":"2","upstream_id":"26","short_description":"So I have a dataframe that looks like this:","config":"default","split":"test","body":"{\"prompt\":\"Problem:\\nSo I have a dataframe that looks like this:\\n                         #1                     #2\\n1980-01-01               11.6985                126.0\\n1980-01-02               43.6431                134.0\\n1980-01-03               54.9089                130.0\\n1980-01-04               63.1225                126.0\\n1980-01-05               72.4399                120.0\\n\\n\\nWhat I want to do is to shift the first row of the first column (11.6985) down 1 row, and then the last row of the first column (72.4399) would be shifted to the first row, first column, like so:\\n                         #1                     #2\\n1980-01-01               72.4399                126.0\\n1980-01-02               11.6985                134.0\\n1980-01-03               43.6431                130.0\\n1980-01-04               54.9089                126.0\\n1980-01-05               63.1225                120.0\\n\\n\\nThe idea is that I want to use these dataframes to find an R^2 value for every shift, so I need to use all the data or it might not work. I have tried to use <a href=\\\"https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.shift.html\\\" rel=\\\"noreferrer\\\">pandas.Dataframe.shift()</a>:\\nprint(data)\\n#Output\\n1980-01-01               11.6985                126.0\\n1980-01-02               43.6431                134.0\\n1980-01-03               54.9089                130.0\\n1980-01-04               63.1225                126.0\\n1980-01-05               72.4399                120.0\\nprint(data.shift(1,axis = 0))\\n1980-01-01                   NaN                  NaN\\n1980-01-02               11.6985                126.0\\n1980-01-03               43.6431                134.0\\n1980-01-04               54.9089                130.0\\n1980-01-05               63.1225                126.0\\n\\n\\nSo it just shifts both columns down and gets rid of the last row of data, which is not what I want.\\nAny advice?\\n\\n\\nA:\\n<code>\\nimport pandas as pd\\n\\n\\ndf = pd.DataFrame({'#1': [11.6985, 43.6431, 54.9089, 63.1225, 72.4399],\\n                   '#2': [126.0, 134.0, 130.0, 126.0, 120.0]},\\n                  index=['1980-01-01', '1980-01-02', '1980-01-03', '1980-01-04', '1980-01-05'])\\n</code>\\ndf = ... # 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":"noindex","subproblems":[],"grids":[]}