### Bug description

Using Plotly tables in separate tabsets seems to create issues rendering, especially cells with spaces. The first tab renders correctly but the others do not, and the figure dimensions have to be set manually as the article layout for the column size doesn't apply the same way to the following tabs. However, if the table is large enough and requires scrolling, scrolling down and back up may render the data. This was rendered as a ".ipynb" file on Windows 11 Enterprise with Python 3.9.13, Plotly 5.13.1, and Quarto 1.2.335.

````md
---
title: "MOVES Benchmark Comparisons"
author: "Max Collins"
date: "2/28/2023"
execute:
  echo: false
format: 
  html:
    code-fold: true
    embed-resources: true
    theme: materia
---

```py

import plotly.graph_objects as go
import dash_bootstrap_components as dbc
import plotly.express as px
import pandas as pd
import numpy as np
from plotly.colors import n_colors
import plotly.io as pio
import matplotlib as plt

pio.renderers.default = "plotly_mimetype+notebook_connected"

```
::: {.column-screen}
## Run Definitions
:::

:::: {.column-screen-inset}
::: {.panel-tabset}

## Nonroad and Rates

```py
perf_tableNR_Rates = readExcel(r'C:\Users\mcolli03\OneDrive - Environmental Protection Agency (EPA)\Documents\Python Scripts\Performance\data\compiled\performance_testing_NR_Rates.xlsx', 'RunDef')

df = perf_tableNR_Rates

col_widths = [400]*14 + [850] 

table2 = go.Figure(data=[go.Table(
    columnwidth=col_widths,
    header=dict(values=list(df.columns),
                line_color=grey,
                fill_color=grey,
                align='center',
                font=dict(size=14),
                height=40),
    cells=dict(values=[df.Run, df.Model, df.Scale, df.Type, df['Year(s)'], df['Month(s)'], df['Day(s)'], df['Hour(s)'], df.Location, df.Vehicle, df['Fuel/Type'],
                       df.Road, df['Output Agg'], df.PreAgg, df['Pollutants/Processes']],
               align='left',
               height=50))
])


table2.update_layout(width=1700, height=500)
table2.show()
```

## PreAgg
```py
perf_tablePreAgg = readExcel(r'C:\Users\mcolli03\OneDrive - Environmental Protection Agency (EPA)\Documents\Python Scripts\Performance\data\compiled\performance_testing_PreAgg.xlsx', 'RunDef')

df = perf_tablePreAgg

col_widths = [400]*14 + [850]

table3 = go.Figure(data=[go.Table(
    columnwidth=col_widths,
    header=dict(values=list(df.columns),
                line_color=grey,
                fill_color=grey,
                align='center',
                font=dict(size=14),
                height=40),
    cells=dict(values=[df.Run, df.Model, df.Scale, df.Type, df['Year(s)'], df['Month(s)'], df['Day(s)'], df['Hour(s)'], df.Location, df.Vehicle, df['Fuel/Type'],
                       df.Road, df['Output Agg'], df.PreAgg, df['Pollutants/Processes']],
               align='left',
    height=50))
])

table3.update_layout(width=1700, height=500)
table3.show()
```

## By Size
```py
perf_tableScales = readExcel(r'C:\Users\mcolli03\OneDrive - Environmental Protection Agency (EPA)\Documents\Python Scripts\Performance\data\compiled\performance_testing_Scales.xlsx', 'RunDef')

df = perf_tableScales

col1 = ['rgb(255, 244, 134)']
col1_light = ['rgb(255, 250, 192)']
col2 = ['rgb(255, 172, 228)']
col2_light = ['rgb(255, 225, 246)']
col3 = ['rgb(112, 183, 126)']
col3_light = ['rgb(170, 209, 177)']
col4 = ['rgb(161, 205, 241)']
col4_light = ['rgb(213, 230, 243)']
col5 = ['rgb(235, 190, 155)']
col5_light = ['rgb(242, 222, 207)']
col6 = ['rgb(217,153,185)']
col6_light = ['rgb(225, 197, 211)']

grey = ['rgb(202, 197, 200)']
l_grey = ['rgb(235,231,233)']

lgrey_line = l_grey*15
lcol1_line = col1+(col1_light*14)
lcol2_line = col2+(col2_light*14)
lcol3_line = col3+(col3_light*14)
lcol4_line = col4+(col4_light*14)
lcol5_line = col5+(col5_light*14)

colors = np.array([lgrey_line, lgrey_line, lgrey_line, lcol1_line, lgrey_line,
                  lgrey_line, lgrey_line, lcol2_line, lcol3_line, lcol4_line, lcol5_line]).T

col_widths = [400]*14 + [850]

table1 = go.Figure(data=[go.Table(
    columnwidth=col_widths,
    header=dict(values=list(df.columns),
                line_color=grey,
                fill_color=grey,
                align='center',
                font=dict(size=14),
                height=40),
    cells=dict(values=[df.Run, df.Model, df.Scale, df.Type, df['Year(s)'], df['Month(s)'], df['Day(s)'], df['Hour(s)'], df.Location, df.Vehicle, df['Fuel/Type'],
                       df.Road, df['Output Agg'], df.PreAgg, df['Pollutants/Processes']],
               fill_color=colors,
               align='left',
    height=50))
])
table1.update_layout(width=1700, height=450)
table1.show()
```
:::
::::

![Screenshot 2023-03-08 111428](https://user-images.githubusercontent.com/120656726/223768638-d39cd749-ddd9-4d38-a680-53e29e3d2458.png)
![Screenshot 2023-03-08 111523](https://user-images.githubusercontent.com/120656726/223768642-15aea877-66d0-452b-8352-da9b4c905bbe.png)
![Screenshot 2023-03-08 111542](https://user-images.githubusercontent.com/120656726/223768644-1f7c6200-cc5f-4b5b-9019-8c4edf0d0f74.png)


````

### Checklist

- [X] Please include a minimal, fully reproducible example in a single .qmd file? Please provide the whole file rather than the snippet you believe is causing the issue.
- [X] Please [format your issue](https://quarto.org/bug-reports.html#formatting-make-githubs-markdown-work-for-us) so it is easier for us to read the bug report.
- [X] Please document the RStudio IDE version you're running (if applicable), by providing the value displayed in the "About RStudio" main menu dialog?
- [X] Please document the operating system you're running. If on Linux, please provide the specific distribution.
cscheid
2023-03-08T16:22:12Z
epamax
bug third-party
v1.4
open
Not rendering Plotly tables in tabset correctly
https://github.com/quarto-dev/quarto-cli/issues/4705