{"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":"3b65ff5c-d832-51bc-aa5e-d3bd1e148d2f","task_key":"default--test--713","task_revision_id":"1","upstream_id":"713","short_description":"I have a set of data and I want to compare which line describes it best…","config":"default","split":"test","body":"{\"library\":\"Scipy\",\"prompt\":\"Problem:\\nI have a set of data and I want to compare which line describes it best (polynomials of different orders, exponential or logarithmic).\\nI use Python and Numpy and for polynomial fitting there is a function polyfit(). But I found no such functions for exponential and logarithmic fitting.\\nHow do I fit y = A*exp(Bx) + C ? The result should be an np.array of [A, B, C]. I know that polyfit performs bad for this function, so I would like to use curve_fit to solve the problem, and it should start from initial guess p0.\\nA:\\n<code>\\nimport numpy as np\\nimport scipy.optimize\\ny = np.array([1, 7, 20, 50, 79])\\nx = np.array([10, 19, 30, 35, 51])\\np0 = (4, 0.1, 1)\\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":[]}