Question

我关注的是详细的下拉菜单教程here，我对其进行了一些修改，以使第一个下拉菜单项在加载时被选中，并提供了更具可重现性的数据集：

import pandas as pd
import numpy as np
from plotly.offline import plot
import plotly.graph_objs as go

df = pd.DataFrame(np.random.randint(0,100,size=(72, 2)), columns=['High','Low'])
df['time'] = pd.date_range('4/1/2015', periods=72, freq='H')


trace_high = go.Scatter(x=list(df.index),
                        y=list(df.High),
                        name='High',
                        line=dict(color='#33CFA5'))

trace_high_avg = go.Scatter(x=list(df.index),
                            y=[df.High.mean()]*len(df.index),
                            name='High Average',
                            visible=False,
                            line=dict(color='#33CFA5', dash='dash'))

trace_low = go.Scatter(x=list(df.index),
                       y=list(df.Low),
                       name='Low',
                       line=dict(color='#F06A6A'))

trace_low_avg = go.Scatter(x=list(df.index),
                           y=[df.Low.mean()]*len(df.index),
                           name='Low Average',
                           visible=False,
                           line=dict(color='#F06A6A', dash='dash'))

data = [trace_high, trace_high_avg, trace_low, trace_low_avg]

high_annotations=[dict(x='2016-03-01',
                       y=df.High.mean(),
                       xref='x', yref='y',
                       text='High Average:<br>'+str(df.High.mean()),
                       ax=0, ay=-40),
                  dict(x=df.High.idxmax(),
                       y=df.High.max(),
                       xref='x', yref='y',
                       text='High Max:<br>'+str(df.High.max()),
                       ax=0, ay=-40)]
low_annotations=[dict(x='2015-05-01',
                      y=df.Low.mean(),
                      xref='x', yref='y',
                      text='Low Average:<br>'+str(df.Low.mean()),
                      ax=0, ay=40),
                 dict(x=df.High.idxmin(),
                      y=df.Low.min(),
                      xref='x', yref='y',
                      text='Low Min:<br>'+str(df.Low.min()),
                      ax=0, ay=40)]

updatemenus = list([
    dict(active=0,
         buttons=list([   
            dict(label = 'High',
                 method = 'update',
                 args = [{'visible': [True, True, False, False]},
                         {'title': 'Yahoo High',
                          'annotations': high_annotations}]),
            dict(label = 'Low',
                 method = 'update',
                 args = [{'visible': [False, False, True, True]},
                         {'title': 'Yahoo Low',
                          'annotations': low_annotations}]),
            dict(label = 'Both',
                 method = 'update',
                 args = [{'visible': [True, True, True, True]},
                         {'title': 'Yahoo',
                          'annotations': high_annotations+low_annotations}]),
            dict(label = 'Reset',
                 method = 'update',
                 args = [{'visible': [True, False, True, False]},
                         {'title': 'Yahoo',
                          'annotations': []}])
        ]),
    )
])

layout = dict(title='Yahoo', showlegend=False,
              updatemenus=updatemenus)

fig = dict(data=data, layout=layout)
plot(fig, filename='update_dropdown')

在上面的代码中，下拉菜单在几套不同的绘图之间进行选择。但是，您还会注意到，即使在下拉菜单“高”中选择了第一项，在初始加载时，两组线都存在。如果再次选择“高”或“低”，则它将仅正确显示一行。

是否有一种容易地强制绘图在负载时仅显示单行（以与最初选择的下拉菜单相匹配）而不默认显示为两行的情况？

绘图下拉菜单以在2个绘图之间进行选择：默认情况下，加载时显示两个绘图

0 个答案: