matplotlib / matplotlib/napari-matplotlib
Line Plot Widget for sequential data
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- Python
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描述
Hi @dstansby , hi all,
I currently have a couple local implementations of a plotter with line plots based on metadata.
Data are stored in metadata because sometimes I generate data from intensity images which in napari, as far as I know, do not have 'properties' or 'features'.
I would like to have a general line plotter to import from. Thus, I naturally thought about napari-matplotlib!
To encompass all layer types, including the Image layer, I thought about storing the plotting data as a nested dictionary in the layer metadata, somtehing like:
{'plugin_name':
{'x_data': array},
{'y_data': array},
{'other_data': array} }`
I have some code that works with that kind of structure. Would that be an interesting contribution here?
From a plugin developer's perspective, storing data as a two level dictionary would allow filtering data origin (by 'plugin_name', so different plugins could fit) apart from regular image metadata and then axes would come from the internal keys. @kevinyamauchi , do you think such structure would be interesting?
Here is an example:
For example, for plotting a time series, a developer could include a time dimension array there as well.
If this should not belong here, that's also OK, I could place it somewhere else, just let me know ;)
I can make a Draft PR to further discuss this.
Best,
Marcelo
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调研方向
尚未确定任何文件、测试或入口点。首先与维护者明确拟议的元数据结构和 widget 范围;完成的标准是就如何在相关的 napari 图层类型中绘制序列数据达成一致的实现计划。
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- data-visualization
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- 5/5
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