📂

sns.set_theme()

Status
Not started
Text

sns.set_theme()

Text 1

Changes the theme of the plots.

Common Palette Guideline

Seaborn provides a wide range of color palettes that you can use with the palette parameter in sns.countplot() or other Seaborn plots. Here is a breakdown of the options:

Palette Type
Palettes
Categorical
Designed for discrete variables with a few distinct categories.
deepmutedbrightpasteldarkcolorblind
Sequential
Suitable for ordered or continuous variables (e.g., intensity of values).
BluesGreensOrangesPurplesReds
Diverging
Used for data with a meaningful midpoint, often centered around zero.
coolwarmRdBuPiYGPuOrSpectral
Circular
Best for cyclical data like months or directions.
hsvtwilighttwilight_shifted
Color Brewer
Set1Set2Set3PairedPastel1Dark2Accent
Gradient
cubehelix_palettelight_palettedark_palette

🎨 Seaborn Styling & Aesthetic Controls

Seaborn provides powerful options to control the look and feel of plots using global settings. These affect font size, background, gridlines, colors, context, and more.

1. Set Font Size

python
CopyEdit
sns.set(font_scale=1.25)

  • 🔹 font_scale adjusts the size of all text elements in a Seaborn plot:
    • Axis labels
    • Tick labels
    • Legend text
    • Titles (if using plt.title() or ax.set_title())

🧠 Tip: Use font_scale to scale fonts globally rather than adjusting each element manually.

2. Set Background Style

python
CopyEdit
sns.set_style('darkgrid')

Available styles:

  • 'white': Plain background with no grid.
  • 'whitegrid': White background with gridlines.
  • 'dark': Dark background, no grid.
  • 'darkgrid': Dark background with gridlines (default when plotting).
  • 'ticks': Adds ticks on axes; minimal style.

📌 Use sns.set_style(style_name) to change background aesthetics.

3. Set Overall Context

python
CopyEdit
sns.set_context('notebook')

The context affects the scaling of plot elements based on the setting’s purpose.

Available options:

  • 'paper': Smallest size (good for print).
  • 'notebook': Medium (default).
  • 'talk': Larger (for presentations).
  • 'poster': Largest (for posters or large screens).

You can combine with font scaling:

python
CopyEdit
sns.set_context('talk', font_scale=1.25)

4. Set Global Aesthetic Settings at Once

python
CopyEdit
sns.set(
    style='darkgrid',      # Background style
    context='notebook',    # Scaling context
    font_scale=1.25        # Font size
)

🧠 This is a one-liner to configure all the key aesthetics.

5. Despine Plots

python
CopyEdit
sns.despine()

Removes the top and right borders (spines) for a cleaner look.

You can also control which spines to remove:

python
CopyEdit
sns.despine(left=True, bottom=True)

6. Color Palette

python
CopyEdit
sns.set_palette('Set2')  # Choose color set

Common palettes:

  • 'deep' (default)
  • 'muted'
  • 'bright'
  • 'pastel'
  • 'dark'
  • 'colorblind'
  • Or define your own: sns.set_palette(['#E24A33', '#348ABD'])

To preview:

python
CopyEdit
sns.color_palette('Set2')

7. Style Dictionaries for Custom Use

Each style (darkgridwhitegrid, etc.) corresponds to a dictionary:

python
CopyEdit
sns.axes_style('whitegrid')

Returns a dictionary of parameters you can tweak directly.

You can also use:

python
CopyEdit
with sns.axes_style('ticks'):
    sns.lineplot(...)

This applies the style only inside the with block.

8. Reset to Default Settings

python
CopyEdit
sns.reset_defaults()

Returns Seaborn's settings to the library defaults.

Summary Table

Setting
Function
Purpose
font_scale
sns.set(font_scale=x)
Scales text globally
set_style()
sns.set_style('style')
Controls background and gridlines
set_context()
sns.set_context('context')
Scales plot size for use-case
set_palette()
sns.set_palette('palette')
Defines color scheme
despine()
sns.despine()
Removes plot borders (spines)
reset_defaults()
sns.reset_defaults()
Resets all styling