plotly / plotly/plotly.py

`on_selection` callback seems to not get fired

未關閉
#3,910 3 則留言 1 個 reaction 已指派 0 人 在 GitHub 檢視

還沒有人認領這個 Issue。

bug P3
主要語言
Python
星號
18.8k
分支
2.8k
平均合併
16 小時 26 分鐘
30 天內合併 PR
21

描述

Thanks for your interest in Plotly.py!

Before opening an issue, please search for existing and closed issues :)

Please accompany bug reports with a reproducible example. Please use the latest version of plotly.py in your report unless not applicable.

Note that GitHub Issues are meant to be used for bug reports and feature requests only. Implementation or usage questions should be asked on community.plotly.com or on Stack Overflow (tagged plotly).

It seems the on_selection callback does not fire anymore. I've seen a number of open and closed issues back from 2020 discussing the usage of it, but based on the newest version 5.10.0 I cannot get anything to fire on a selection.

The simplest code example I could find (from https://github.com/plotly/plotly.py/issues/2698)


import plotly.graph_objects as go
import numpy as np

np.random.seed(1)
x = np.random.randn(500)

def on_selection_print(obj, points, selector):
    print(points.point_inds)

figure_widget = go.FigureWidget(data=[go.Histogram(x=x)])
figure_widget.update_layout(dragmode="select")    
figure_widget.data[0].on_selection(on_selection_print)
figure_widget.show()

Both running this in jupyter or as a python script, nothing seems to print.

I tried the latest docs on selection events but I couldn't actually get that example to run in jupyter or otherwise.

Am I just missing something simple?

Thanks!

貢獻指南

開啟貢獻指南

從這裡開始

  1. 先讀完整個 Issue,再讀專案的貢獻指南。
  2. 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
  3. Fork 儲存庫,在一個分支上完成修改。
  4. 送出 Pull Request,並在描述裡引用這個 Issue 編號。

研究方向

首先在 Jupyter 中以及以 Python 指令碼的形式執行提供的 FigureWidget 範例,重點關注圖形的 on_selection 回呼和 dragmode="select" 設定。追蹤選取事件路徑,並將行為與連結的 selection-events 文件和 issue #2698 進行比較;完成的標準是說明清楚回呼行為,並修正回報的範例,或明確確立其受支援的使用方式。

由索引模型根據 Issue 內容生成。

評估

技術堆疊
jupyter-notebook, python
領域
data-visualization
Issue 類型
缺陷
難度
4/5
預估耗時
3-5 天
活躍度
冷清
描述清晰度
需要釐清
新手友好度
35/100

把新 issue 寄到你的電子郵件信箱

精選適合新手參與的 GitHub issue 摘要。