matplotlib / matplotlib/napari-matplotlib

Integrate with tabular functionality

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New feature
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Python
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描述

Hi @dstansby ,

I was recently discussing with @zoccoler about how to further improving napari-matplotlib. One thing that appeared to be a natural extension for plotting functionality would be the support for some sort of tabular interaction: Clicking on column heads could trigger the display of feature scatter/histogram plots, similarly for metadata. We could introduce standardized column headers (label already exists) such as frame for the time dimension, etc.

Now such things obviously already exist (e.g., in the scope of napari-spreadsheet) and it would be superfluous effort to create this functionality from scratch. Another place where tabular functionality exists (and is actively used) is napari-skimage-regionprops (see code here).

Pitch:

In order to make the most of both functionality (current napari-matplotlib and table from napari-skimage-regionprops), we suggest to join efforts and merge these two pieces of code under one hood. This would greatly enhance the reach of napari-matplotlib, its usability and spread the effort of maintenance over more shoulders.

Would love to hear your thoughts!

Also tagging @haesleinhuepf as the maintainer of napari-skimage-regionprops

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研究方向

首先檢視現有的 napari-matplotlib 繪圖功能,以及所參照的 napari-skimage-regionprops/_table.py 實作。釐清目標是程式碼整合、標準化欄位標題,還是與 napari-spreadsheet 的互動;完成這項工作需要達成共識的範圍與明確的整合計畫。

由索引模型根據 Issue 內容生成。

評估

技術堆疊
matplotlib, python
領域
data-visualization
Issue 類型
功能
難度
5/5
預估耗時
一週以上
活躍度
停滯
描述清晰度
需要釐清
新手友好度
25/100

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