Does not render table markdown correctly when columns are formatted with GT.fmt_markdown

[karangattu]

trafficstars

Description

Does not render table markdown correctly when columns are formatted with GT.fmt_markdown

Reproducible example

import pandas as pd
from great_tables import GT, md

from faker import Faker
import random

fake = Faker()

markdown_syntax = [
    "# Heading 1",
    "## Heading 2",
    "### Heading 3",
    "This is *italic* text.",
    "This is **bold** text.",
    "A [Click me](https://posit-dev.github.io/great-tables/articles/intro.html).",
    "- List item 1\n- List item 2\n- List item 3",
    "1. Ordered item 1\n2. Ordered item 2\n3. Ordered item 3",
    "```python\nprint('Hello, World!')\n```",
    """
    | Column 1      | Column2 |
    | ----------- | ----------- |
    | Row 1 Column 1     | Row 1 Column 2       |
    | Row 2 Column 1   | Row 2 Column 2        |
""",
"😅",
"I need to highlight these ==very important words==.",
"H~2~O",
"X^2^",
"- [x] Write the press release",
"![](https://www.google.com/logos/doodles/2023/seasonal-holidays-2023-6753651837110165.2-6752733080612634-cst.gif)",
"![](https://i.giphy.com/3oEjI4sFlp73fvEYgw.webp)",
"![](https://www.socialpilot.co/wp-content/uploads/2023/02/gif.gif)",
"""
> Blockquotes can be nested. Add a >> in front of the paragraph you want to nest.
>
>> Blockquotes can be nested. Add a >> in front of the paragraph you want to nest.
""",
"""
1. First item
2. Second item
3. Third item
    1. Indented item
    2. Indented item
4. Fourth item
""",
]

df = pd.DataFrame({'rendered markdown': markdown_syntax})
df['unrendered markdown'] = df['rendered markdown']

df['name'] = [fake.name() for _ in range(len(df))]
df['email'] = [fake.email() for _ in range(len(df))]
df['age'] = [fake.random_int(18, 99) for _ in range(len(df))]
df['is student'] = [fake.boolean() for _ in range(len(df))]
df['grade'] = [random.choice(['A', 'B', 'C', 'D', 'F']) for _ in range(len(df))]
df['gpa'] = [random.uniform(2.0, 4.0) for _ in range(len(df))]
df['date joined'] = [fake.date_this_decade() for _ in range(len(df))]
df_sorted_desc = df.sort_values(by='grade', ascending=True)

(
    GT(df_sorted_desc,rowname_col="name", groupname_col="grade")
    .fmt_markdown(columns="rendered markdown")
    .fmt_date(columns="date joined", date_style="m_day_year")
    .tab_spanner(
    label=md("<b><i>Personal Information</b></i>"),
    columns=["name", "email", "age", "grade", "gpa"],
    )
    .fmt_number(columns=["gpa"], decimals=2)
    .tab_stubhead(label="Students grouped by their grades")

)

Observe the cell where table markdown is rendered

Expected result

Should render table markdown as a table.

Development environment

• Operating System: macOS
• great_tables Version: 0.1.1