我正在尝试基于 Plotly 在 Python 中使用 Dash 构建一个应用程序。我很难调整下拉菜单选项的宽度。我在下面附上了代码和图片。我希望下拉选项的宽度与菜单宽度相同。
app.layout = html.Div(children=[
html.H1(children='Welcome to Portfolio Construction Engine!'),
html.Div(children='What would you like to do?', style={
'font-style': 'italic',
'font-weight': 'bold'
}),
html.Div([
dcc.Dropdown(
id='demo-dropdown',
options=[
{'label': 'Upload Scores', 'value': 'upload_scores'},
{'label': 'Analyze Portfolios', 'value': 'analyze_portfoliio'},
{'label': 'Generate Data for IC Engine', 'value': 'gen_data_ic_engine'}
],
placeholder='Select a task...',
style={
'width': '50%'
}
),
html.Div(id='dd-output-container')
])
])
Run Code Online (Sandbox Code Playgroud) 我想存储以下代码的输出。我尝试了列表,数据框和向量,但无法存储。
Model<-lda( y ~ Trend+Class+F1+F4+ATR+macd_signal+macd1+F5 ,data=x)
> Model
Call:
lda(y ~ Trend + Class + F1 + F4 + ATR + macd_signal + macd1 +
F5, data = x)
Prior probabilities of groups:
LOSS PROFIT
0.4981818 0.5018182
Group means:
TrendBull ClassUP F1 F4 ATR macd_signal macd1 F5
LOSS 0.5450122 0.3990268 1480.451 1481.672 11.64657 -0.0005850151 0.01542818 1478.567
PROFIT 0.5000000 0.4082126 1487.280 1486.707 12.25799 -0.0304256947 -0.03845741 1489.620
Coefficients of linear discriminants:
LD1
TrendBull -0.033267160
ClassUP 0.151291378
F1 -0.003215276
F4 -0.042431558
ATR 0.082615338 …Run Code Online (Sandbox Code Playgroud)