{"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":"235dbd93-21d5-535d-b7fa-483607a21999","task_key":"default--test--917","task_revision_id":"1","upstream_id":"917","short_description":"Can I use string as input for a DecisionTreeClassifier?","config":"default","split":"test","body":"{\"library\":\"Sklearn\",\"prompt\":\"Problem:\\n\\nCan I use string as input for a DecisionTreeClassifier?\\nI get a ValueError when I ran this piece of code below: could not converter string to float\\n\\nX = [['asdf', '1'], ['asdf', '0']]\\nclf = DecisionTreeClassifier()\\nclf.fit(X, ['2', '3'])\\n\\nWhat should I do to use this kind of string input to train my classifier?\\nNote I need X to remain a list or numpy array. Thanks\\n\\nA:\\n\\ncorrected, runnable code\\n<code>\\nimport numpy as np\\nimport pandas as pd\\nfrom sklearn.tree import DecisionTreeClassifier\\nX = [['asdf', '1'], ['asdf', '0']]\\nclf = DecisionTreeClassifier()\\n</code>\\nsolve this question with example variable `new_X`\\nBEGIN SOLUTION\\n<code>\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://ds1000-code-gen.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}