I want to implement a secondary y-axis in a subplot using plotly. Most of the code is copied from here.
The error is: 'Invalid property specified for object of type plotly.graph_objs.Box: 'secondary'. Is it because I cannot use the 'go.Box' in this case?
Here is the code:
import plotly.graph_objects as go
from plotly.subplots import make_subplots
x = ['day 1', 'day 1','day 1',
'day 2', 'day 2', 'day 2']
fig = make_subplots(specs=[[{"secondary_y": True}]])
# Add traces
fig.add_trace(go.Box(
y=[56.3 , 56.3 , 56.3 , 51. , 49. ],
x=x,
name='Test1',
marker_color='#3D9970',
secondary_y=False,
))
fig.add_trace(go.Box(
y=[1 , 2 , 3 , 2 , 1 ],
x=x,
name='Test2',
marker_color='#3D9970',
secondary_y=True,
))
# Add figure title
fig.update_layout(
title_text="Double Y Axis Example",
boxmode='group'
)
# Set x-axis title
fig.update_xaxes(title_text="xaxis title")
# Set y-axes titles
fig.update_yaxes(title_text="<b>primary</b> yaxis title", secondary_y=False)
fig.update_yaxes(title_text="<b>secondary</b> yaxis title", secondary_y=True)
fig.show()
Secondary_y
is a property of fig.add_trace()
and not go.Box()
. That does not mean you can't use go.Box()
on a secondary y-axis. On the contrary. Just move secondary_y
outside the parentheses of go.Box
in your setup, and you'll get this:
import plotly.graph_objects as go
from plotly.subplots import make_subplots
x = ['day 1', 'day 1','day 1',
'day 2', 'day 2', 'day 2']
fig = make_subplots(specs=[[{"secondary_y": True}]])
# Add traces
fig.add_trace(go.Box(
y=[56.3 , 56.3 , 56.3 , 51. , 49. ],
x=x,
name='Test1',
marker_color='#3D9970',
),secondary_y=False,)
fig.add_trace(go.Box(
y=[1 , 2 , 3 , 2 , 1 ],
x=x,
name='Test2',
marker_color='#3D9970',
),secondary_y=True,)
# Add figure title
fig.update_layout(
title_text="Double Y Axis Example",
boxmode='group'
)
# Set x-axis title
fig.update_xaxes(title_text="xaxis title")
# Set y-axes titles
fig.update_yaxes(title_text="<b>primary</b> yaxis title", secondary_y=False)
fig.update_yaxes(title_text="<b>secondary</b> yaxis title", secondary_y=True)
fig.show()