Error Received value: 'rgba(255, 153, 51, np.float64(1.0))' when using cufflinks to make figures after upgrading python to 3.13.2 and plotly to 6.0.0

[Rob-Hulley]

I needed to rebuild my windows workstation (win 10) and decided to install the latest python and plotly software.
Now all my charts using cufflinks fail with the error:

ValueError:
Invalid value of type 'builtins.str' received for the 'color' property of bar.marker.line
Received value: 'rgba(255, 153, 51, np.float64(1.0))'

Edition Windows 10 Pro
Version 22H2
Installed on ‎17/‎02/‎2025
OS build 19045.5487
Experience Windows Feature Experience Pack 1000.19061.1000.0

Python 3.13.2
pandas 2.2.3
plotly 6.0.0
cufflinks 0.17.3

The below code will recreate the issue in Jupiter labs

from plotly.subplots import make_subplots
import plotly.graph_objects as go
import plotly.io as pio
import pandas as pd
import cufflinks as cf

index=['2024-09-05 05:56:33.238','2024-09-05 05:56:34.238','2024-09-05 05:56:35.241','2024-09-05 05:56:36.239','2024-09-05 05:56:37.239',
'2024-09-05 05:56:38.241','2024-09-05 05:56:39.239','2024-09-05 05:56:40.239','2024-09-05 05:56:41.240','2024-09-05 05:56:42.240']

cols=pd.MultiIndex.from_tuples([
('rcount','0:3:1'),('rcount','0:3:2'),('rcount','1:3:1'),('rcount','1:3:2'),
('wcount','0:3:1'),('wcount','0:3:2'),('wcount','1:3:1'),('wcount','1:3:2'),
('tcount','0:3:1'),('tcount','0:3:2'),('tcount','1:3:1'),('tcount','1:3:2'),])

data=[[22.0,21.0,32.0,31.0,24.0,20.0,40.0,40.0,47.0,42.0,72.0,72.0],
[0.0,0.0,0.0,0.0,4.0,2.0,4.0,1.0,4.0,2.0,4.0,1.0],
[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0],
[0.0,0.0,0.0,1.0,0.0,0.0,2.0,4.0,0.0,0.0,2.0,5.0],
[0.0,0.0,0.0,0.0,3.0,1.0,16.0,11.0,3.0,1.0,16.0,11.0],
[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0],
[0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0],
[0.0,0.0,1.0,0.0,4.0,2.0,9.0,0.0,4.0,2.0,11.0,0.0],
[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0],
[0.0,0.0,0.0,0.0,2.0,1.0,2.0,1.0,2.0,1.0,2.0,1.0]]

df=pd.DataFrame(data, columns=cols,index=index)

fig = cf.subplots([df.loc[:,('rcount')].figure(kind='scatter'),
df.loc[:,('wcount')].figure(kind='scatter'),
df.loc[:,('tcount')].figure(kind='scatter'),],
shape=(3,1),shared_xaxes=True,shared_yaxes=False,subplot_titles=('READ','WRITE','TOTAL'))

[gvwilson]

Thanks for the report @Rob-Hulley - I'll see if we can have someone take a look in the next cycle. Is there any easy way to see if it works without cufflinks, or would that essentially mean rewriting the whole app / example?

[Rob-Hulley]

My program creates 1000's of charts about 100 use cufflinks.
All other charts are OK, it is just cufflinks which has the error about the color selection.
I think it is the np.float64(1.0) causing the issue.
cufflinks does not seem to like the later version of numpy.

I can re-write those charts to not use cufflinks, but cufflinks makes things much easier.
For now I will revert back to the older versions that work so I can continue to update code.

[Rob-Hulley]

This is what the values look like in the working older code

rgba(255, 153, 51, 1.0)