{"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":"d8557d45-7213-581b-92cd-2ee968fc571d","task_key":"default--test--558","task_revision_id":"1","upstream_id":"558","short_description":"import matplotlib.pyplot as plt","config":"default","split":"test","body":"{\"library\":\"Matplotlib\",\"prompt\":\"import matplotlib.pyplot as plt\\n\\nfig, axes = plt.subplots(ncols=2, nrows=2, figsize=(8, 6))\\naxes = axes.flatten()\\n\\nfor ax in axes:\\n    ax.set_ylabel(r\\\"$\\\\ln\\\\left(\\\\frac{x_a-x_b}{x_a-x_c}\\\\right)$\\\")\\n    ax.set_xlabel(r\\\"$\\\\ln\\\\left(\\\\frac{x_a-x_d}{x_a-x_e}\\\\right)$\\\")\\n\\nplt.show()\\nplt.clf()\\n\\n# Copy the previous plot but adjust the subplot padding to have enough space to display axis labels\\n# SOLUTION START\\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":[]}