Question

我是破折号的新手，我努力将对破折号数据表所做的编辑保存回数据框这是我的数据表代码

import dash
from dash.dependencies import Input, Output, State
import dash_table
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import sqlalchemy

app = dash.Dash(__name__)


engine = sqlalchemy.create_engine('mysql+pymysql://root:@127.0.0.1:3306/sfp')

df = pd.read_sql_table("base_case",engine)

app.layout = html.Div([
    html.Div([
        dcc.Input(
            id='adding-rows-name',
            placeholder='Enter a column name...',
            value='',
            style={'padding': 10}
        ),
        html.Button('Add Column', id='adding-rows-button', n_clicks=0)
    ], style={'height': 50}),

    dash_table.DataTable(
        id='adding-rows-table',
        columns=[{"name": i, "id": i} for i in df.columns],
        data=df.to_dict('records'),
        editable=True,
        row_deletable=True
    ),

    html.Button('Add Row', id='editing-rows-button', n_clicks=0),
])

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

有什么解决办法吗？

Answer 1

您需要对其进行回调，这是如何实现的示例：

import dash
import dash_table
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd

app = dash.Dash(__name__)

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/solar.csv')

nmb_clicks = 0
app.layout = html.Div([
    dcc.Store(id='click-memory', data = {'nmb_clicks': nmb_clicks}),
    html.Div([
        dcc.Input(
            id='adding-rows-name',
            placeholder='Enter a column name...',
            value='',
            style={'padding': 10}
        ),
        html.Button('Add Column', id='adding-columns-button', n_clicks=nmb_clicks)
    ], style={'height': 50}),

    dash_table.DataTable(
        id='adding-rows-table',
        columns=[{"name": i, "id": i} for i in df.columns],
        data=df.to_dict('records'),
        editable=True,
        row_deletable=True
    ),

    html.Button('Add Row', id='editing-rows-button', n_clicks=0),
])

@app.callback(dash.dependencies.Output('adding-rows-table', 'columns'),
             [dash.dependencies.Input('adding-columns-button', 'n_clicks'),
              dash.dependencies.Input('adding-rows-name', 'value')],
             [dash.dependencies.State('click-memory', 'data')])
def update_dropdown(click, name, data):
    if click != data['nmb_clicks']:
        if name not in df.columns:
            df[name] = [float('nan')] * len(df.index)

    return [{"name": i, "id": i} for i in df.columns]

@app.callback(dash.dependencies.Output('click-memory', 'data'),
             [dash.dependencies.Input('adding-columns-button', 'n_clicks')],
             [dash.dependencies.State('click-memory', 'data')])
def on_data(click, data):
    if click != nmb_clicks:
        data['nmb_clicks'] = data['nmb_clicks'] + 1

    return data

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

请注意，您需要在列中填充一些有意义的值（现在正在插入空单元格）。

将修改的破折号数据表保存到数据框

1 个答案: