Is there an easy way to show the y axis for a plotly chart on both the right and the left side? Would just be more convenient to look at time series data if I could have it readily accessible on both sides if that makes sense. Thanks!
AFAIK the only way to add a secondary Y-axis is by using the
make_subplots function as show in the examples here - Multiple axes in Python (plotly.com)
So what I need is the time series to use the same y axis, but for the same axis to appear on both the left and right side of the graph. Is that possible without using a workaround of having a secondary axis and just replotting all of the timeseries on that secondary axis? (Does that make sense - I just need two of the same axis, one on the left, one on the right).
I believe that’s not possible, you’ll have to plot your timeseries data on both the axis.
Ah that’s what I figured - hopefully that’s a feature that’s included in a future update and until then I’ll use that workaround. Thanks!
@dash-beginner, you can try this work around. Instead of plotting all the points for y2 axis, just plot 2 points(min and max).
I modified the sample from the documentation below.
fig = go.Figure() x=[1, 2, 3] y=[4, 5, 6] fig.add_trace(go.Scatter( x=x, y=y, name="yaxis1 data" )) fig.add_trace(go.Scatter( x=[min(x), max(x)], y=[min(y), max(y)], name="yaxis2 data", yaxis="y2" )) fig.update_layout( xaxis=dict( domain=[0.3, 0.7] ), yaxis=dict( title="yaxis title", titlefont=dict( color="#1f77b4" ), tickfont=dict( color="#1f77b4" ) ), yaxis2=dict( title="yaxis2 title", titlefont=dict( color="#ff7f0e" ), tickfont=dict( color="#ff7f0e" ), anchor="free", overlaying="y", side="right", position=0.7 ) ) fig.show()
Is there a way of achieving the same result for an imshow plot (which does not accept a yaxis argument)?