Shared yaxis "all" for subplots with secondary axis

📊 Plotly Python
1

Hi,

I’m plotting a
I’m trying to get the shared_yaxis feature for a Figure consisting of 4 subplot with secondary axis working.

Unfortunately the shared zoom (in y direction) is only working on the trace that is plotted on the primary axis.

Here is an example:

from plotly.subplots import make_subplots
import plotly.graph_objects as go

fig = make_subplots(
    rows=2, 
    cols=2,
    specs=[
        [{"secondary_y": True}, {"secondary_y": True}],
        [{"secondary_y": True}, {"secondary_y": True}]
    ], 
    shared_xaxes="all", 
    shared_yaxes = "all", 
    vertical_spacing=0.06, 
    horizontal_spacing=0.04
)

# data
X = ["yesterday", "today", "tomorrow"]
Y_primary = [2,3,4]
Y_secondary = [-2,-4,-16]

#top left
fig.add_trace(go.Bar(x=X, y=Y_primary, name="prinmary", marker_color="lightsteelblue", showlegend=False),row=1, col=1, secondary_y=False)
fig.add_trace(go.Scatter(x=X, y=Y_secondary, name="secondary", showlegend=False,line=dict(color="royalblue", width=2)),row=1, col=1, secondary_y=True)

#top right
fig.add_trace(go.Bar(x=X, y=Y_primary, name="prinmary", marker_color="lightsteelblue", showlegend=False),row=1, col=2, secondary_y=False)
fig.add_trace(go.Scatter(x=X, y=Y_secondary, name="secondary", showlegend=False,line=dict(color="royalblue", width=2)),row=1, col=2, secondary_y=True)

 #bottom left
fig.add_trace(go.Bar(x=X, y=Y_primary, name="prinmary", marker_color="lightsteelblue", showlegend=False),row=2, col=1, secondary_y=False)
fig.add_trace(go.Scatter(x=X, y=Y_secondary, name="secondary", showlegend=False,line=dict(color="royalblue", width=2)),row=2, col=1, secondary_y=True)

#bottom right
fig.add_trace(go.Bar(x=X, y=Y_primary, name="prinmary", marker_color="lightsteelblue", showlegend=False),row=2, col=2, secondary_y=False)
fig.add_trace(go.Scatter(x=X, y=Y_secondary, name="secondary", showlegend=False,line=dict(color="royalblue", width=2)),row=2, col=2, secondary_y=True)


fig.update_layout(
    yaxis2 = dict(visible=False),
    yaxis6 = dict(visible=False)
)

fig.show()

Thanks for your help!
Christian

2

I am also searching for this qustion LOL