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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"mismatching array sizes when reading `element_solid_history_variables`","articleBody":"**🐛 Describe the bug**\r\nI am trying to read `element_solid_history_variables` from my *.ptf files, but when I'm calling `D3plot()` with `state_array_filter` or `state_filter`, I get get an error. \r\n\r\n\r\n**🔢 To Reproduce**\r\n1) take any .ptf file (d3plot files seem to work)\r\n2) run the following script:\r\n```\r\nfrom lasso.dyna import D3plot, ArrayType, FilterType\r\nres = D3plot('GM108.ptf', state_array_filter=[ArrayType.element_solid_history_variables])\r\n```\r\n3) get this error message:\r\n`ValueError: could not broadcast input array from shape (522,5913,1,11) into shape (522,5913,1,5)`\r\n\r\n\r\n**💘 Expected behavior**\r\nFunction call works without throwing an error message.\r\n\r\n\r\n\r\n**🖥️ Setup**\r\n - lasso-python version: 2.0.2\r\n - OS: Win11 x64, but also occurs on Linux.\r\n\r\n**ℹ️ Additional context**\r\nMy current workaround is to call `D3plot()` without arguments. I can then read out the array as expected, but the issue is that this doesn't work with the rest of my infrastructure, where I can only read a set of timesteps at a time.","author":{"url":"https://github.com/jakobstanford","@type":"Person","name":"jakobstanford"},"datePublished":"2024-07-24T19:13:35.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":3},"url":"https://github.com/63/lasso-python/issues/63"}