Skip to content

fixed readme links #214

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Oct 20, 2025
Merged

fixed readme links #214

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
9 changes: 6 additions & 3 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,8 @@ brings new visualizations, refined plots, and improved accuracy.

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.
tutorial](https://acclab.github.io/DABEST-python/tutorials/10-whorlmap.html)
for more details.

2. **Slopegraphs 📈: Enhanced summaries for paired data**

Expand All @@ -52,7 +53,8 @@ brings new visualizations, refined plots, and improved accuracy.
- Customize appearance with `group_summaries_kwargs`.

See the Group Summaries section in the [Plot Aesthetics
tutorial](08-plot_aesthetics.html) for more details.
tutorial](https://acclab.github.io/DABEST-python/tutorials/08-plot_aesthetics.html)
for more details.

3. **Mini-meta Weighted Delta Fix 🧮**

Expand All @@ -69,7 +71,8 @@ brings new visualizations, refined plots, and improved accuracy.
now color contrast bars and effect-size curves.

See the Custom Palette section in the [Plot Aesthetics
tutorial](08-plot_aesthetics.html) for examples.
tutorial](https://acclab.github.io/DABEST-python/tutorials/08-plot_aesthetics.html)
for examples.

Thank you for your continued support!

Expand Down
6 changes: 3 additions & 3 deletions nbs/read_me.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -43,7 +43,7 @@
"\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",
" You can generate a Whorlmap directly from multi-dimensional DABEST objects using the `.whorlmap()` method. See the [Whorlmap tutorial](https://acclab.github.io/DABEST-python/tutorials/10-whorlmap.html) for more details.\n",
"\n",
"2. **Slopegraphs 📈: Enhanced summaries for paired data**\n",
" \n",
Expand All @@ -55,7 +55,7 @@
" \n",
" - Customize appearance with `group_summaries_kwargs`.\n",
"\n",
" See the Group Summaries section in the [Plot Aesthetics tutorial](08-plot_aesthetics.html) for more details.\n",
" See the Group Summaries section in the [Plot Aesthetics tutorial](https://acclab.github.io/DABEST-python/tutorials/08-plot_aesthetics.html) for more details.\n",
"\n",
"3. **Mini-meta Weighted Delta Fix 🧮**\n",
" \n",
Expand All @@ -69,7 +69,7 @@
" - **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",
" See the Custom Palette section in the [Plot Aesthetics tutorial](https://acclab.github.io/DABEST-python/tutorials/08-plot_aesthetics.html) for examples.\n",
"\n",
"Thank you for your continued support! \n",
"\n",
Expand Down