[feature request]Enable passing markersize as a tensor · fossasia/visdom#149

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enhancementhelp wanted

説明

It would be useful to create plots with points of different markersize. Currently, coloring points differently is supported by specifying the colors in an N, Nx3, or K and Kx3 tensor, N being the number of data points and K the amount of labels:

 - `opts.markersize`  : marker size (`number`; default = `'10'`)
 - `opts.markercolor` : marker color (`np.array`; default = `None`)

However, marker size is just a number.

コントリビューターガイド

技術スタック: pythonnumpy
領域: datafrontend
Issue 種別: feature
難度: 3
推定時間: 1-2 days
活動状況: stale
明確さ: mostly clear
前提条件: Python basicsNumPyVisdom API
初心者向け度: 50
調査方針: The issue asks to extend markersize to accept a tensor, similar to markercolor. Examine how markercolor is implemented in the visdom source code (likely in visdom/ init .py or similar). Look for the parsing of opts dict and the validation of markersize. The implementation should allow an array of size N (number of data points) or K (number of classes) to be passed as markersize. Check existing tests and documentation for markercolor as a template. The main challenge is ensuring backward compatibility and proper handling of different array shapes.