{"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":"9157963a-8ff8-527f-8039-2f0804ed722a","task_key":"default--test--829","task_revision_id":"1","upstream_id":"829","short_description":"I used a sklearn function to transform some data to scipy.sparse.csr.csr_matrix.","config":"default","split":"test","body":"{\"library\":\"Sklearn\",\"prompt\":\"Problem:\\n\\nI used a sklearn function to transform some data to scipy.sparse.csr.csr_matrix.\\nBut now I want to get a pandas DataFrame where I merge it back into my original df along with the other columns.\\nI tried pd.concat, but I get an error called\\nTypeError: cannot concatenate a non-NDFrame object\\nWhat can I do? Thanks.\\n\\nA:\\n\\n<code>\\nimport pandas as pd\\nimport numpy as np\\nfrom scipy.sparse import csr_matrix\\ndf_origin, transform_output = load_data()\\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":"index","subproblems":[],"grids":[]}