updated readme

Author: JAnns98

README.md

@@ -21,26 +21,26 @@ brings new visualizations, refined plots, and improved accuracy.
 
 1. **Whorlmap 🌀: Compact visualization for multi-dimensional effects**
 
- Introducing Whorlmap, a new way to visualize effect sizes from
+ Introducing **Whorlmap**, a new way to visualize effect sizes from
  multiple comparisons in a compact, grid-based format.
 
  Whorlmaps condense information from the full bootstrap distributions
- of many contrast objects into a 2D heatmap-style grid of “whorled”
- cells. This provides an overview of the entire dataset while
+ of many contrast objects into a **2D heatmap-style grid of “whorled”
+ cells**. This provides an overview of the entire dataset while
  preserving the underlying distributional detail.
 
  They are especially useful for large-scale or multi-condition
- experiments, serving as a space-efficient alternative to stacked
- forest plots.
+ experiments, serving as a **space-efficient alternative to stacked
+ forest plots**.
 
  You can generate a Whorlmap directly from multi-dimensional DABEST
  objects using the `.whorlmap()` method. See the [Whorlmap
  tutorial](10-whorlmap.html) for more details.
 
 2. **Slopegraphs 📈: Enhanced summaries for paired data**
 
- Slopegraphs for paired continuous data now display group summary
- statistics.
+ Slopegraphs for paired continuous data now display **group summary
+ statistics**.
 
  - By default, a thick trend line connects group means, with vertical
  bars showing standard deviation.
@@ -57,16 +57,16 @@ brings new visualizations, refined plots, and improved accuracy.
 3. **Mini-meta Weighted Delta Fix 🧮**
 
  The weighted delta calculation in mini-meta plots has been updated
- for greater accuracy and consistency.
+ for **greater accuracy and consistency**.
 
 4. **Expanded custom_palette functionality 🎨**
 
- - Barplots (unpaired, proportional): `custom_palette` can now take
- `0` and `1` as dictionary keys to color the filled and unfilled
- portions of the plot.
+ - **Barplots (unpaired, proportional):** `custom_palette` can now
+ take `1` and `0` as dictionary keys to color the filled and
+ unfilled portions of the plot.
 
- - Slopegraphs (paired, non-proportional): `custom_palette` can now
- color contrast bars and effect-size curves.
+ - **Slopegraphs (paired, non-proportional):** `custom_palette` can
+ now color contrast bars and effect-size curves.
 
 See the Custom Palette section in the [Plot Aesthetics
 tutorial](08-plot_aesthetics.html) for examples.

nbs/read_me.ipynb

@@ -37,17 +37,17 @@
  "\n",
  "1. **Whorlmap 🌀: Compact visualization for multi-dimensional effects**\n",
  " \n",
- " Introducing Whorlmap, a new way to visualize effect sizes from multiple comparisons in a compact, grid-based format.\n",
+ " Introducing **Whorlmap**, a new way to visualize effect sizes from multiple comparisons in a compact, grid-based format.\n",
  "\n",
- " Whorlmaps condense information from the full bootstrap distributions of many contrast objects into a 2D heatmap-style grid of “whorled” cells. This provides an overview of the entire dataset while preserving the underlying distributional detail.\n",
+ " Whorlmaps condense information from the full bootstrap distributions of many contrast objects into a **2D heatmap-style grid of “whorled” cells**. This provides an overview of the entire dataset while preserving the underlying distributional detail.\n",
  "\n",
- " They are especially useful for large-scale or multi-condition experiments, serving as a space-efficient alternative to stacked forest plots.\n",
+ " They are especially useful for large-scale or multi-condition experiments, serving as a **space-efficient alternative to stacked forest plots**.\n",
  "\n",
  " You can generate a Whorlmap directly from multi-dimensional DABEST objects using the `.whorlmap()` method. See the [Whorlmap tutorial](10-whorlmap.html) for more details.\n",
  "\n",
  "2. **Slopegraphs 📈: Enhanced summaries for paired data**\n",
  " \n",
- " Slopegraphs for paired continuous data now display group summary statistics.\n",
+ " Slopegraphs for paired continuous data now display **group summary statistics**.\n",
  "\n",
  " - By default, a thick trend line connects group means, with vertical bars showing standard deviation.\n",
  " \n",
@@ -59,14 +59,14 @@
  "\n",
  "3. **Mini-meta Weighted Delta Fix 🧮**\n",
  " \n",
- " The weighted delta calculation in mini-meta plots has been updated for greater accuracy and consistency.\n",
+ " The weighted delta calculation in mini-meta plots has been updated for **greater accuracy and consistency**.\n",
  "\n",
  "4. **Expanded custom_palette functionality 🎨**\n",
  " \n",
- " - Barplots (unpaired, proportional):\n",
- " `custom_palette` can now take `0` and `1` as dictionary keys to color the filled and unfilled portions of the plot.\n",
+ " - **Barplots (unpaired, proportional):**\n",
+ " `custom_palette` can now take `1` and `0` as dictionary keys to color the filled and unfilled portions of the plot.\n",
  "\n",
- " - Slopegraphs (paired, non-proportional):\n",
+ " - **Slopegraphs (paired, non-proportional):**\n",
  " `custom_palette` can now color contrast bars and effect-size curves.\n",
  "\n",
  " See the Custom Palette section in the [Plot Aesthetics tutorial](08-plot_aesthetics.html) for examples.\n",