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Customize the title shown in unified hovermode, by specifing `unifiedhovertitle.text`.
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The unified hover title is a template string that supports using variables from the data. Numbers are formatted using d3-format's syntax `%{variable:d3-format}`, for `example \"Price: %{y:$.2f}\"`. Dates are formatted using d3-time-format's syntax `%{variable|d3-time-format}`, for example `\"Day: %{2019年01月01日|%A}\"`.
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The following example uses `'x unified'` hover and specifies a unified hover title that shows the full weekday, month, day, and year.
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```python
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import plotly.graph_objects as go
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import plotly.express as px
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df = px.data.stocks()
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fig = go.Figure(
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data=[
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go.Scatter(
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x=df['date'],
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y=df['GOOG'],
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mode='lines',
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name='Google'
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),
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go.Scatter(
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x=df['date'],
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y=df['AAPL'],
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mode='lines',
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name='Apple'
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)
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],
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layout=go.Layout(
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title_text="Stock Prices with Custom Unified Hover Title",
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hovermode='x unified',
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xaxis=dict(
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title_text='Date',
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unifiedhovertitle=dict(
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text='<b>%{x|%A, %B %d, %Y}</b>'
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)
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),
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yaxis=dict(
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title_text='Price (USD)',
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tickprefix='$'
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)
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)
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)
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fig.show()
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```
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#### Control hovermode with Dash
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[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
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