情节：具有两行的子图中的刻度标签问题

Question

这是我的情节破折号：

import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly
import plotly.graph_objs as go
from plotly.subplots import make_subplots
import pandas as pd

data = pd.read_csv('https://raw.githubusercontent.com/AmirForooghi/stocks_csv/master/stocks_sample.csv')

df_1 = data.loc[data.sym == 'f']
df_2 = data.loc[data.sym == 'i']
df_3 = data.loc[data.sym == 'c']

fig = make_subplots(rows=2, cols=3, row_heights=[0.8, 0.2], vertical_spacing=0,
                    horizontal_spacing=0.05, shared_xaxes=True, shared_yaxes=False)

fig.add_trace(go.Candlestick(open=df_1['open'], high=df_1['high'], low=df_1['low'],
                             close=df_1['close'],
                             increasing_line_color='#0384fc', decreasing_line_color='#e8482c'
                             ), row=1, col=1)

fig.add_trace(go.Scatter(x=list(range(40)), y=df_1['pct'], line_color='#fae823', hovertemplate=[]),
              row=2, col=1)

fig.add_trace(go.Candlestick(open=df_2['open'], high=df_2['high'], low=df_2['low'],
                             close=df_2['close'],
                             increasing_line_color='#0384fc', decreasing_line_color='#e8482c'
                             ), row=1, col=2)

fig.add_trace(go.Scatter(x=list(range(40)), y=df_2['pct'], line_color='#fae823', hovertemplate=[]),
              row=2, col=2)

fig.add_trace(go.Candlestick(open=df_3['open'], high=df_3['high'], low=df_3['low'],
                             close=df_3['close'],
                             increasing_line_color='#0384fc', decreasing_line_color='#e8482c'
                             ), row=1, col=3)

fig.add_trace(go.Scatter(x=list(range(40)), y=df_3['pct'], line_color='#fae823', hovertemplate=[]),
              row=2, col=3)

fig.update_layout({'plot_bgcolor': "#21201f", 'paper_bgcolor': "#21201f", 'legend_orientation': "h"},
                  legend=dict(y=1, x=0),
                  font=dict(color='#dedddc'), dragmode='pan', hovermode='x unified', showlegend=False,
                  margin=dict(b=20, t=0, l=0, r=40))

fig.update_xaxes(showgrid=False, zeroline=False, rangeslider_visible=False, showticklabels=False, showline=True,
                 linecolor='#969799', showspikes=True, spikemode='across', spikesnap='data',
                 spikedash='dash', spikecolor='#ebeae8', spikethickness=0.5)

fig.update_yaxes(showgrid=False, zeroline=False, showticklabels=True, showline=False)

fig.update_traces(hoverinfo='skip', xaxis='x1', col=1)
fig.update_traces(hoverinfo='skip', xaxis='x2', col=2)
fig.update_traces(hoverinfo='skip', xaxis='x3', col=3)

app = dash.Dash(__name__)

app.layout = html.Div(children=[
    dcc.Graph(figure=fig, id='chart', config={'displayModeBar': False}),
])
if __name__ == '__main__':
    app.run_server(debug=True, dev_tools_ui=False, dev_tools_props_check=False)

我对此图的问题是，y轴的刻度标签不正确。如您所见，对于第二和第三列，它已被删除，对于第一列，它是重叠的。我尝试了这种solution的方法，但是如果我删除了这些fig.update_traces，则尖峰将改变（有关更多信息，请参见下面的更新1）。我所说的尖峰如下所示：可以看到，当光标位于散点图上时，它将在整个列上绘制一条线。

我想像现在这样完全保持这些峰值。我现在如何解决壁虱标签问题？

UPDATE 1：

如果我在代码末尾删除三个fig.update_traces，则会出现尖峰，但它们不是我想要的。这两个屏幕截图对此进行了说明。第一个是我想要的峰值，第二个是没有fig.update_traces的峰值：

主要区别在于，上图中的尖峰遍布整列，仅在光标位于散点图上时才出现。我需要这种方式。它不是为了更好的外观！它们应保持与上图完全相同。

Answer 1

 fig.update_traces(hoverinfo='skip', xaxis='x1', col=1)
 fig.update_traces(hoverinfo='skip', xaxis='x2', col=2)
 fig.update_traces(hoverinfo='skip', xaxis='x3', col=3)

而且我得到了这个[[with

尖峰，您可以看到您的gif：

我想念什么？