将输入从一个 Dash DataTable 馈送到第二个 Dash DataTable

Question

作为 Dash 的初学者，我有一个简短的问题。我正在使用 table 接受用户输入，读入，最终对其执行操作，然后 return 结果 table 在第一个下方。以下是我的代码：

import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import dash_table
import os
from dash.dependencies import Input, Output
import numpy as np

names = ['Player','Pos','Games','Rush Mkt Shr','Yds/Rush','Rush TD Rate','Tgt Mkt Shr','Yds/Rec','Rec TD Rate','Catch Rate','Int Rate','QB Snaps']
team_entries = pd.DataFrame(np.zeros((11,len(names))),columns = names)
team_entries['Pos']=['QB','RB','RB','RB','WR','WR','WR','WR','TE','TE','TEAM']
team_entries['Games'] = 16

app.layout = html.Div([
    html.Div(id='div1', children=[dash_table.DataTable(
        id='table-editing-simple',
        columns=([{'id': p, 'name': p} for p in team_entries.columns]),
        data=team_entries.to_dict('records'),
        editable=True
    )]),
    html.Div(id = 'div2', children=[dash_table.DataTable(id='table-editing-simple-output')])
])


@app.callback(
    Output('table-editing-simple-output', 'data'),
    [Input('table-editing-simple', 'data'),
     Input('table-editing-simple', 'columns')])
def display_output(rows, columns):
    df = pd.DataFrame(rows, columns=[c['name'] for c in columns])
    df['Games'] = df['Games']*2
    return df.to_dict('records')


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

不幸的是，id 为 'table-editing-simple-output' 的第二个 table 没有打印出来，我不太确定为什么会这样。其次，如果我想为输出 table 使用不同的列名，我该怎么做？

Answer 1

试一试：在你的回调函数中，不要返回数据，而是尝试用 Output('div2', 'children') 替换你的输出并返回一个全新的破折号数据表，如下所示：

@app.callback(
    Output('div2', 'children'),
    [Input('table-editing-simple', 'data'),
     Input('table-editing-simple', 'columns')])
def display_output(rows, columns):
    df = pd.DataFrame(rows, columns=[c['name'] for c in columns])
    df['Games'] = df['Games']*2
    return dash_table.DataTable(
        id='table-output',
        columns=columns,
        data=rows,
    )

这样，您也可以自由更改列名！工作代码如下：

import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import dash_table
import os
from dash.dependencies import Input, Output
import numpy as np

names = ['Player','Pos','Games','Rush Mkt Shr','Yds/Rush','Rush TD Rate','Tgt Mkt Shr','Yds/Rec','Rec TD Rate','Catch Rate','Int Rate','QB Snaps']
team_entries = pd.DataFrame(np.zeros((11,len(names))),columns = names)
team_entries['Pos']=['QB','RB','RB','RB','WR','WR','WR','WR','TE','TE','TEAM']
team_entries['Games'] = 16
app = dash.Dash(__name__)
app.layout = html.Div([
    html.Div(id='div1', children=[dash_table.DataTable(
        id='table-editing-simple',
        columns=([{'id': p, 'name': p} for p in team_entries.columns]),
        data=team_entries.to_dict('records'),
        editable=True
    )]),
    html.Div(id = 'div2', children=[dash_table.DataTable(id='table-editing-simple-output')])
])


@app.callback(
    Output('div2', 'children'),
    [Input('table-editing-simple', 'data'),
     Input('table-editing-simple', 'columns')])
def display_output(rows, columns):
    df = pd.DataFrame(rows, columns=[c['name'] for c in columns])
    df['Games'] = df['Games']*2
    return dash_table.DataTable(
        id='table-output',
        columns=columns,
        data=rows,
    )


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

将输入从一个 Dash DataTable 馈送到第二个 Dash DataTable

Feed input from one Dash DataTable to Second Dash DataTable

python

python-2.7

plotly

plotly-dash