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Description
Description
When usingmake_subplots() withshared_xaxes=True, spike lines only appear on the subplot where the cursor is hovering, rather than showing across all subplots simultaneously.
Expected Behavior
When hovering over any subplot, a vertical spike line should appear at the same x-position acrossall subplots, similar to the behavior in TradingView or other financial charting tools.
Current Behavior
The spike line only appears on the subplot currently under the cursor. When moving to a different subplot, the spike line moves with the cursor instead of showing on all subplots.
Code Example
import plotly.graph_objects as gofrom plotly.subplots import make_subplotsimport pandas as pd# Create sample datadf = pd.DataFrame({ 'x': pd.date_range('2024-01-01', periods=100), 'y1': range(100), 'y2': [x**2 for x in range(100)]})# Create subplotsfig = make_subplots( rows=2, cols=1, shared_xaxes=True, vertical_spacing=0.02)fig.add_trace(go.Scatter(x=df['x'], y=df['y1'], name='Line 1'), row=1, col=1)fig.add_trace(go.Scatter(x=df['x'], y=df['y2'], name='Line 2'), row=2, col=1)fig.update_xaxes( showspikes=True, spikemode='across', spikesnap='cursor', spikecolor='black', spikethickness=1)fig.update_layout(hovermode='x unified')fig.show()What I've Tried
hovermode='x unified'- Only unifies hover labels, not spike linesfig.update_traces(xaxis='x')- Shows spikes across all subplots but breaks subplot layout (all data gets squeezed into first subplot's x-axis range)- Various combinations of
spikemode,spikesnap, andmatches='x'- No effect
Use Case
This feature is critical for financial/trading dashboards where users need to compare multiple indicators (price, volume, RSI, MACD, etc.) at the same point in time across multiple subplots.