Exploring Data with pandas (from a Jupyter Notebook)

This post is what you'd get by exporting a Jupyter notebook to HTML and dropping it into the blog. The cells below mimic nbconvert output: an execution prompt, the source, and the rendered result — including a dataframe table.

import pandas as pd

df = pd.read_csv("sales.csv")
df.shape

df.groupby("region")["revenue"].sum().sort_values(ascending=False)

The wrapper is plain HTML with a little CSS, so it themes with the rest of the site — light and dark both work. Because it's just markup, you can hand-tune any cell or splice in commentary between them, which is hard to do with a static screenshot.