Type of data change irregularly when updating data of a plot

[lll123github]

Thanks for developing plotly that greatly facilitate my work!

I found something when trying this example:

First, draw a plot with a line:

import plotly.graph_objects as go
import numpy as np
x = np.array([0,1,2,4,3,7,6,5,8,9])
fig = go.Figure(data=go.Scatter(x=x, y=x**2))
fig.show()

Second, try to update the plot with updating the data.

If I test these code:

print(type(fig.data[0].x))
k=fig.data[0].x.tolist()+[2]
fig.data[0].x=k
print(type(fig.data[0].x))
fig.data[0].x=k
print(type(fig.data[0].x))
fig.data[0].x=np.array(fig.data[0].x)
fig.data[0].y=fig.data[0].y.tolist()+[1]
fig.data[0].y=np.array(fig.data[0].y)
fig.show()

The output is

<class 'numpy.ndarray'>
<class 'tuple'>
<class 'tuple'>

and a plot

While If I use these code:

print(type(fig.data[0].x))
k=fig.data[0].x.tolist()+[2]
fig.data[0].x=np.array(k)
print(type(fig.data[0].x))
fig.data[0].x=k
print(type(fig.data[0].x))
fig.data[0].x=np.array(fig.data[0].x)
fig.data[0].y=fig.data[0].y.tolist()+[1]
fig.data[0].y=np.array(fig.data[0].y)
fig.show()

the output is

<class 'numpy.ndarray'>
<class 'numpy.ndarray'>
<class 'numpy.ndarray'>

I find only adding new data will the type of x in the scatter change? If the data is not new, the type will not change, even if the property is assigned again? But this is a counter-intuitive thing.(Maybe?)
Hoping for solving my confusion.

System Env

Windows 10 22H2
python 3.9.7
plotly 6.0.1
numpy 1.26.4

[gvwilson]

Hi - we are trying to keep the issues and PRs in Plotly's public repositories tidy so that we can focus on things that are most important to our community. For tech support and "how-to" questions, please post in our community forum https://community.plotly.com/. Thank you - @gvwilson