---
title: "quarto tabset"
---
# Syntax
````default
::: {.panel-tabset}
## Tabset A
```python
import polars as pl
print('polars version:', pl.__version__)
```
## Tabset B
```python
import pandas as pd
print('pandas version:', pd.__version__)
```
:::
````
# Example
::: {.panel-tabset}
## use **_`polars`_** df in **`plotly`**
```{python}
import polars as pl
import plotly.express as px
wide_df = pl.DataFrame(
{
"nation" : ["South Korea" , "China" , "Canada" ],
"gold" : [24 , 10 , 9 ],
"silver" : [13 , 15 , 12 ],
"bronze" : [9 , 12 , 12 ],
}
)
fig = px.bar(
wide_df,
x= "nation" ,
y= ["gold" , "silver" , "bronze" ],
title= "Wide-Form Input"
)
fig.show()
```
## use **_`pandas`_** df in **`plotly`**
```{python}
import plotly.express as px
df = px.data.iris()
# Use directly Columns as argument. You can use tab completion for this!
fig = px.scatter(
df,
x= df.sepal_length,
y= df.sepal_width,
color= df.species,
size= df.petal_length
)
fig.show()
```
:::