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junjunlab / GseaVis

An implement R package to visualize GSEA results
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建议：增加栅格化线条点的选项以提升与AI工具的兼容性 #31

Open OlafTobark42 opened 5 hours ago

OlafTobark42 commented 5 hours ago

您好，

非常感谢您开发了这么优秀的包！gseanb 生成的图非常好看。但我在将这些图导入到一些 AI 工具（例如 Adobe Illustrator）时遇到了问题。如果图中点数非常多（比如很多细胞的 UMAP 图），矢量格式的文件会因为保留了所有的点和路径的细节而导致运行非常卡顿。

请问是否可以增加一个选项，在保存前将线条的点栅格化？这样可以显著减少文件体积，提高与 AI 工具的兼容性，并避免性能问题。

感谢您的关注，也非常感谢您开发了这个出色的包！😊

Hi,

Thanks for creating such a great package! The plots generated by gseanb look amazing. However, I encountered an issue when importing these plots into AI tools (e.g., Adobe Illustrator). When the plot contains a large number of points (such as UMAP plots for many cells), it becomes extremely slow and laggy to handle because the vector format retains all the points and paths in high detail.

Would it be possible to add an option to rasterize the line points before saving? This could significantly reduce file size and improve compatibility with AI tools, ensuring smooth usage without performance issues.

Thanks for your attention and the amazing work on this package! 😊

junjunlab commented 5 hours ago

是不是留错地方了，gseanb不是画gsea的吗？和单细胞的umap有什么关系 ---- 回复的原邮件 ---- 发件人ziqi @.>发送日期2024年11月23日 23:00 @.> @.>主题[junjunlab/GseaVis] 建议：增加栅格化线条点的选项以提升与AI工具的兼容性 (Issue #31) 您好， 非常感谢您开发了这么优秀的包！gseanb 生成的图非常好看。但我在将这些图导入到一些 AI 工具（例如 Adobe Illustrator）时遇到了问题。如果图中点数非常多（比如很多细胞的 UMAP 图），矢量格式的文件会因为保留了所有的点和路径的细节而导致运行非常卡顿。 请问是否可以增加一个选项，在保存前将线条的点栅格化？这样可以显著减少文件体积，提高与 AI 工具的兼容性，并避免性能问题。 感谢您的关注，也非常感谢您开发了这个出色的包！😊 Hi, Thanks for creating such a great package! The plots generated by gseanb look amazing. However, I encountered an issue when importing these plots into AI tools (e.g., Adobe Illustrator). When the plot contains a large number of points (such as UMAP plots for many cells), it becomes extremely slow and laggy to handle because the vector format retains all the points and paths in high detail. Would it be possible to add an option to rasterize the line points before saving? This could significantly reduce file size and improve compatibility with AI tools, ensuring smooth usage without performance issues. Thanks for your attention and the amazing work on this package! 😊 — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you are subscribed to this thread.Message ID: @.>