To generate and display Markdown output dynamically in Jupyter using Python we can:
We can use the following syntax to margin on a single axis column or row in Pandas:
(1) Display Markdown - display(Markdown())
from IPython.display import display, Markdown
display(Markdown('*some markdown* $\phi$'))
(2) Using display_markdown
from IPython.display import display_markdown
display_markdown('''## heading \n this is''')
This is useful for creating reports, displaying formatted text, or embedding results in a structured way.
1. Using IPython.display.Markdown
Jupyter provides IPython.display.Markdown
to render Markdown text dynamically.
from IPython.display import Markdown
text = "### **Hello, Jupyter!**\nThis is a dynamically generated Markdown."
display(Markdown(text))
2. Using IPython.display.display
with f-strings
You can also use f-strings to insert dynamic content.
from IPython.display import display, Markdown
name = "Alice"
score = 95
md_text = f"**Student:** {name}\n\n**Score:** {score}"
display(Markdown(md_text))
3. Writing Markdown Inside a Jupyter Cell with %%markdown
Jupyter supports the %%markdown
cell magic for writing Markdown inside a code cell.
%%markdown
# Jupyter Markdown Example
This is a *Markdown cell* inside a code cell.
4. Creating Markdown Tables in Python
We can also generate markdown tables in Python by using Pandas. Method to_markdown()
will convert DataFrame to markdown tables with ease. Any tabular format can be read as a Pandas DataFrame. Example of generating Markdown output and displaying in Jupyter:
from IPython.display import display, Markdown
import pandas as pd
data = [
["Name", "Score"],
["Alice", "95"],
["Bob", "88"]
]
table_md = pd.DataFrame(data).to_markdown()
print(table_md)
display(Markdown(table_md))
5. Using display_markdown
For multiline markdown cells we can use method: display_markdown
:
from IPython.display import display_markdown
display_markdown('''## heading
- ordered
- list
The table below:
| id |value|
|:---|----:|
| a | 1 |
| b | 2 |
''', raw=True)