[BUG] numpy array not correctly read back from figure data

未关闭
  • 哪里不对？
#3,307 3 条评论 2 个 reaction 已指派 0 人 在 GitHub 查看

维护者通常 1 天内回复

还没有人认领这个 Issue。

评估

难度
3/5
预计耗时
1-2 天
新手友好度
45/100
Issue 类型
缺陷
描述清晰度
基本清楚
活跃度
停滞
技术栈
numpy, plotly, python
领域
data-visualization

调研方向

首先使用 Python 3.12、numpy 2.2.5、plotly 6.1.1 以及列出的 Dash 版本运行提供的 Dash 复现，然后检查通过 callback State 返回的 figure 数据。将 x 和 y 值与原始数组进行比较；当不支持的数组引发异常，或以 numpy 数组或有效列表的形式返回时，即表示完成。

由索引模型根据 Issue 内容生成。

描述

bug P2

Please provide us your environment, so we can easily reproduce the issue:

Windows 10, python 3.12

dash                 3.0.4
dash-core-components 2.0.0
dash-html-components 2.0.0
plotly               6.1.1
numpy                2.2.5

Describe the bug

When I create a go.Figure and add a trace with x and/or y being numpy arrays, the plot is created correctly.
However, when I want to read back the data, some representation of the numpy array is provided as dictionary: {‘dtype’: ‘f8’, ‘bdata’: ‘AAAAAAAA8D8AAAAAAAAAQAAAAAAAAAhAAAAAAAAAEEAAAAAAAAAUQA==’, ‘_inputArray’: {‘0’: 1, ‘1’: 2, ‘2’: 3, ‘3’: 4, ‘4’: 5, ‘bdata’: ‘AAAAAAAA8D8AAAAAAAAAQAAAAAAAAAhAAAAAAAAAEEAAAAAAAAAUQA==’, ‘dtype’: ‘f8’, ‘shape’: ‘5’}}

As also described in https://community.plotly.com/t/changed-behaviour-in-dash-2-18-2-using-numpy-1-26-4-when-reading-figure-into-callback-on-linux/90614

import dash
from dash import dcc, html, Input, Output, State
import plotly.graph_objs as go
import numpy as np

# Initialize the Dash app
app = dash.Dash(__name__)

# Create some sample data using numpy
x_data = np.array([1.0, 2.0, 3.0, 4.0, 5.0])
y_data = np.array([2.0, 1.5, 3.5, 2.0, 5.0])

# Define the layout of the app
app.layout = html.Div([
    dcc.Graph(id='scatter-plot'),
    html.Button('Generate Plot', id='generate-button', n_clicks=0),
    html.Button('Print Data', id='print-button', n_clicks=0)
])

# Callback to generate the ScatterGL plot
@app.callback(
    Output('scatter-plot', 'figure'),
    Input('generate-button', 'n_clicks')
)
def update_figure(n_clicks):
    # Create a ScatterGL trace
    trace = go.Scattergl(
        x=x_data,
        y=y_data,
        mode='markers',
        marker=dict(size=10, color='blue')
    )
    
    # Create the figure
    fig = go.Figure(data=[trace])
    fig.update_layout(title='ScatterGL Plot', xaxis_title='X Axis', yaxis_title='Y Axis')
    
    return fig

# Callback to print the x and y data from the figure
@app.callback(
    Output('print-button', 'children'),
    Input('print-button', 'n_clicks'),
    State('scatter-plot', 'figure')
)
def print_data(n_clicks, figure):
    if n_clicks > 0 and figure is not None:
        # Extract the x and y data from the figure
        x_values = figure['data'][0]['x']
        y_values = figure['data'][0]['y']
        
        # Print the x and y values
        print("X values:", x_values)
        print("Y values:", y_values)
    
    return "Print Data"

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

Expected behavior

A) Throw an Exception when numpy arrays are not supported
B) If numpy arrays are supported return the numpy array or the numpy array converted to a valid list

主要语言
Python
星标
24.5k
派生
2.3k
平均合并
3 天 7 小时
30 天内合并 PR
30

环境准备

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。

plotly/dash 的其他 Issue

查看 plotly/dash 的全部 Issue

相似的 Issue

更多 Python Issue

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。