Customizing Colors and Styles

It's **Day 137**, and we're talking about Brand. Data is more persuasive when it looks beautiful.

Seaborn Palettes

# 'magma', 'viridius', 'rocket' are some favorites

sns.set_palette("magma")

# Or a custom list of Hex codes

my_colors = ["#FF5733", "#33FF57", "#3357FF"]

sns.set_palette(sns.color_palette(my_colors))

**Sequential**: Light to dark for numbers (e.g., Temperature).

**Diverging**: Two colors for "Good vs Bad" (e.g., Profit vs Loss).

**Categorical**: Distinct colors for different groups (e.g., Apples vs Oranges).

Choose a "Diverging" color palette and apply it to a Heatmap or a Bar Chart.

*Day 138: Best Practices for Data Storytelling.*