plotly / plotly/plotly.py

go.images moved around dcc.graph in combination with plotly.make_subplots()

未关闭
#3,985 0 条评论 0 个 reaction 已指派 0 人 在 GitHub 查看

还没有人认领这个 Issue。

bug P3
主要语言
Python
星标
18.8k
派生
2.8k
平均合并
16 小时 26 分钟
30 天内合并 PR
21

描述

First off, I have also addressed this in the plotly community website, but I feel like this is the place it should be posted.

EDIT: I realize it might be better suited in the dash github. Let me know if I need to move it.

There is a bug in plotly when using dcc.Graph in combination with a subplot figure consisting of go.Images the go.Images get moved around after the user changes the number of rows of plotly.make_subplots().
For example, when I first choose to plot 5 images beneath each other, the plot will look fine, plotting five images closely together (chosen first). However, when the user subsequently chooses to plot 2 points, the images will be plotted in the same space the five images were. Similarly, when the user first chooses to plot 2 images the image looks fine. Subsequently, when the user plots 5 images, they all get messed up.

This does not happen when plotting, for example, scatter plots. Moreover, adding subtitles to the plot shows that the subtitles do not get moved around either. Using fig.show() on the figures also gives a good figure.

You can use the code below to get a minimal working example.
Moreover, using fig.show() also shows the images in their correct spaces. I believe this is a problem with dcc.graph in combination with subplots using go.Image.

from dash import Dash, dcc, html
from dash.dependencies import Input, Output
import plotly.graph_objects as go
import dash.exceptions
import numpy as np
from plotly.subplots import make_subplots
import plotly.express as px

def create_fig(n_rows):
    fig = make_subplots(n_rows, 1)

    for i in range(n_rows):
        fig.add_trace(go.Image(z=np.random.randint(0, 255, size=(60, 60, 3))), i+1, 1)
        #fig.add_trace(go.Scatter(x=[1, 2], y=[2, 4]), i + 1, 1)

    fig.update_layout(autosize=True,
                      width=100,
                      height=n_rows*100,
                      margin=dict(l=0, r=0, b=0, t=0)
                      )
    print(fig.layout)
    return fig


app = Dash(__name__)
app.layout = html.Div(
    [dcc.Graph(id='graph', style={'overflow':'scroll'}),
     dcc.Input(value=0, id='input', type='number')])


@app.callback(Output('graph', 'figure'), Input('input', 'value'))
def create_graph(n_rows):
    if n_rows == 0:
        raise dash.exceptions.PreventUpdate("Prevent update")
    else:
        if n_rows is not None:
            return create_fig(int(n_rows))


if __name__ == '__main__':
    app.run_server(debug=True)

贡献指南

打开贡献指南

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

调研方向

首先运行最小 Dash 示例,重点关注 dcc.Graph 回调、create_fig、make_subplots 和 go.Image traces,同时将输入行数在两行和五行之间切换。将更新后的 figure 与 fig.show() 以及 scatter 和 subtitle 情况进行比较。完成的标准是行数改变后,图像仍保留在正确的 subplot 空间中。

由索引模型根据 Issue 内容生成。

评估

技术栈
numpy, python
领域
data-visualization, frontend
Issue 类型
缺陷
难度
4/5
预计耗时
3-5 天
活跃度
停滞
描述清晰度
基本清楚
新手友好度
35/100

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。