I am using Plotly
in python to generate figures. As in the title, I cannot update figure annotations with the update_annotations
function.
The following is an example of multiplot.
data = pd.DataFrame(np.random.rand(10,3), columns=['A', 'B', 'C'], index=pd.date_range(start='2001-01-01', periods=10))
fig = make_subplots(rows=3, cols=1, subplot_titles=['Top','Middle', 'Bottom'])
fig.add_trace(go.Scatter(x=data.index, y=data['A'], mode='lines'), row=1, col=1)
fig.add_trace(go.Scatter(x=data.index, y=data['B'], mode='lines'), row=2, col=1)
fig.add_trace(go.Scatter(x=data.index, y=data['C'], mode='lines'), row=3, col=1)
I can change the name of the top figure from 'TOP' to 'TOP_TEST' and its position with the following code.
fig['layout']['annotations'][0]['text'] = 'TOP_TEST'
fig['layout']['annotations'][0]['x'] = 0.02
However, I do not understand why I cannot do the same with the function update_annotations
. If it works, it seems to be much easier to change multiple parameters at once.
fig.update_annotations(row=1, col=1, text='TOP_TEST', x=0.02)
Thank you for any comment in advance.
update_annotations()
uses _select_annotations_like()
row
or col
parameters the internal method returns effectively an empty list. Code gets a bit more challenging to follow after that. This appears to be a bugupdate_annotations()
with selector
parameter. Demonstrated in code belowimport pandas as pd
import numpy as np
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import plotly.express as px
data = pd.DataFrame(np.random.rand(10,3), columns=['A', 'B', 'C'], index=pd.date_range(start='2001-01-01', periods=10))
fig = make_subplots(rows=3, cols=1, subplot_titles=['Top','Middle', 'Bottom'])
fig.add_trace(go.Scatter(x=data.index, y=data['A'], mode='lines'), row=1, col=1)
fig.add_trace(go.Scatter(x=data.index, y=data['B'], mode='lines'), row=2, col=1)
fig.add_trace(go.Scatter(x=data.index, y=data['C'], mode='lines'), row=3, col=1)
# empty so nothing to update...
list(fig._select_annotations_like(prop="annotations", row=1, col=1))
# select based on text on we're ok
fig.update_annotations(selector={"text":"Top"}, text="TOP_TEST", x=.02)