如何使用回调更新函数内的数据表?
How to update datatable inside a function using Callback?
大家好,我尝试更新应用程序中的数据table 数据,这些数据是从这样的 display() 函数初始化的,但是数据 table 没有更新,但是如果没有初始化应用程序一个display()但是直接在里面写div,数据table更新了,如果我声明[=13]有没有办法使用回调更新数据table数据=] 函数内部 ?
import dash
import dash_html_components as html
import dash_core_components as dcc
import dash_table as dt
from dash.dependencies import Input, Output
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/solar.csv')
app = dash.Dash(__name__)
states = df.State.unique().tolist()
app.layout = display()
@app.callback(
Output('table-container', 'data'),
[Input('filter_dropdown', 'value') ] )
def display_table(state):
dff = df[df.State==state]
return dff.to_dict("records")
display()
if __name__ == '__main__':
app.run_server(debug=True, use_reloader=False)
def display() :
return html.Div(
children=[
dcc.Dropdown(
id='filter_dropdown',
options=[{'label':st, 'value':st} for st in states],
value = states[0]
),
dt.DataTable(id='table-container') ]
)```
在布局上设置初始数据看起来可以实现您的需要:
import dash
import dash_html_components as html
import dash_core_components as dcc
import dash_table as dt
from dash.dependencies import Input, Output
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/solar.csv')
app = dash.Dash(__name__)
states = df.State.unique().tolist()
@app.callback(Output('table-container', 'data'),
[Input('filter_dropdown', 'value') ])
def display_table(state):
dff = df[df.State==state]
return dff.to_dict("records")
def display() :
return html.Div(
children=[
dcc.Dropdown(
id='filter_dropdown',
options=[{'label':st, 'value':st} for st in states],
value = states[0]
),
dt.DataTable(
id='table-container',
columns=[{"name": i, "id": i} for i in df.columns],
data=df.to_dict('records')
)]
)
app.layout = display()
if __name__ == '__main__':
app.run_server(debug=True, use_reloader=True)
大家好,我尝试更新应用程序中的数据table 数据,这些数据是从这样的 display() 函数初始化的,但是数据 table 没有更新,但是如果没有初始化应用程序一个display()但是直接在里面写div,数据table更新了,如果我声明[=13]有没有办法使用回调更新数据table数据=] 函数内部 ?
import dash
import dash_html_components as html
import dash_core_components as dcc
import dash_table as dt
from dash.dependencies import Input, Output
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/solar.csv')
app = dash.Dash(__name__)
states = df.State.unique().tolist()
app.layout = display()
@app.callback(
Output('table-container', 'data'),
[Input('filter_dropdown', 'value') ] )
def display_table(state):
dff = df[df.State==state]
return dff.to_dict("records")
display()
if __name__ == '__main__':
app.run_server(debug=True, use_reloader=False)
def display() :
return html.Div(
children=[
dcc.Dropdown(
id='filter_dropdown',
options=[{'label':st, 'value':st} for st in states],
value = states[0]
),
dt.DataTable(id='table-container') ]
)```
在布局上设置初始数据看起来可以实现您的需要:
import dash
import dash_html_components as html
import dash_core_components as dcc
import dash_table as dt
from dash.dependencies import Input, Output
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/solar.csv')
app = dash.Dash(__name__)
states = df.State.unique().tolist()
@app.callback(Output('table-container', 'data'),
[Input('filter_dropdown', 'value') ])
def display_table(state):
dff = df[df.State==state]
return dff.to_dict("records")
def display() :
return html.Div(
children=[
dcc.Dropdown(
id='filter_dropdown',
options=[{'label':st, 'value':st} for st in states],
value = states[0]
),
dt.DataTable(
id='table-container',
columns=[{"name": i, "id": i} for i in df.columns],
data=df.to_dict('records')
)]
)
app.layout = display()
if __name__ == '__main__':
app.run_server(debug=True, use_reloader=True)