How to change relative column width with output-location: column in RevealJS output?

[jlperla]

Description

I am using revealjs output. Very impressed so far.

I like the #| output-location: column option, but find that having the identical column widths is often inappropriate. Is there a way to control this? Below is a self-contained example. My hope would be to shrink the column showing the code relative to the image? Or set absolute values of widths if that helps.

---
title: "ECON526: Quantitative Economics with Data Science Applications"
subtitle: "Probability, Uncertainty, and Stochastic Processes"
author: "Jesse Perla"
format:
  revealjs:
    width: 1200  
---

## Binomial
```{python}
#| echo: true
#| output-location: column
#| code-line-numbers: "4-6"
import matplotlib.pyplot as plt
import numpy as np
import scipy.stats
u = scipy.stats.binom(10, 0.5)
grid = np.arange(6)
u_pmf = u.pmf(grid)

fig, ax = plt.subplots()
ax.plot(grid, u_pmf,
  linestyle='', marker='o',
  alpha=0.8, ms=4)
ax.vlines(grid, 0, u_pmf,
  lw=0.2)
ax.set_xticks(grid)
plt.show()
```

[mcanouil]

Using CSS you can achieve custom column-width

---
title: "ECON526: Quantitative Economics with Data Science Applications"
subtitle: "Probability, Uncertainty, and Stochastic Processes"
author: "Jesse Perla"
format: revealjs
include-in-header:
  - text: |
      <style>
      .reveal .custom3070 > div.column:first-child {
        width: 30%;
      }
      .reveal .custom3070 div.column:not(:first-child) {
        width: 70%;
      }
      </style>
---

## Binomial

```{python}
#| classes: custom3070
#| echo: true
#| output-location: column
#| code-line-numbers: "4-6"
import matplotlib.pyplot as plt
import numpy as np
import scipy.stats
u = scipy.stats.binom(10, 0.5)
grid = np.arange(6)
u_pmf = u.pmf(grid)

fig, ax = plt.subplots()
ax.plot(grid, u_pmf,
  linestyle='', marker='o',
  alpha=0.8, ms=4)
ax.vlines(grid, 0, u_pmf,
  lw=0.2)
ax.set_xticks(grid)
plt.show()
```

## Binomial (normal)

```{python}
#| echo: true
#| output-location: column
#| code-line-numbers: "4-6"
import matplotlib.pyplot as plt
import numpy as np
import scipy.stats
u = scipy.stats.binom(10, 0.5)
grid = np.arange(6)
u_pmf = u.pmf(grid)

fig, ax = plt.subplots()
ax.plot(grid, u_pmf,
  linestyle='', marker='o',
  alpha=0.8, ms=4)
ax.vlines(grid, 0, u_pmf,
  lw=0.2)
ax.set_xticks(grid)
plt.show()
```