Updated naming of plot arguments and fix bugs with some argument functionalities

> Add error if ci_type is not given as 'bca' or 'pct'
> fix group_summaries such that none can now be provided in case you dont want to show them
> fix barplot errorbar to hide group_summaries if errorbar is selected and removed 'ci' argument from plotter as it doesnt make sense and was only used for the barplot_kwargs errorbar
>Added ability to add 'width' to barplot_kwargs so can use bar_width or the barplot_kwargs['width']
>Added ci_type argument to tutorial and also updated a warning message ('pct' instead of 'percentile')
>Fixed warning message when paired data with no color_col raises warning about legend
>Fix raw tick label fontsize if counts are not shown
>add title functionality to plots already embedded in a figure (as a subplot)
>added a raw_alpha argument to fit with the contrast_alpha argument
>change naming of parameters to be consistent. General parameters are now referred to via 'raw' or 'contrast' (e.g., raw_marker_size and contrast_marker_size)
>updated tests and tutorials to reflect the changes and updated naming

Author: JAnns98

README.md

@@ -20,68 +20,61 @@ performance improvements. It’s a big one!
 
 1.  **Python 3.13 Support**: DABEST now supports Python 3.10-3.13.
 
-2.  **Horizontal Plots**: This new feature allows users to create
-    horizontal plots instead of the regular vertical plots, providing a
-    more compact visualization of data. This can be utilized by setting
-    `horizontal=True` in the `plot()` method. See the [Horizontal
-    Plots](../tutorials/08-horizontal_plot.html) tutorial for more
-    details.
-
-3.  **Forest Plots**: This new feature allows users to create forest
-    plots! Forest plots provide a simple and intuitive way to visualize
-    many delta-delta (or Deltas’ g) or mini-meta effect sizes at once
-    from multiple different dabest objects without presenting the raw
-    data. See the [Forest Plots](../tutorials/07-forest_plot.html)
-    tutorial for more details.
-
-4.  **Gridkey**: This new feature allows users to create a gridkey to
-    represent the labels of the groups in the plot. This can be utilized
-    with the `gridkey_rows` argument in the `plot()` method. See the
-    gridkey section in the [Plot
+2.  **Horizontal Plots**: Users can now create horizontal layout plots,
+    providing compact data visualization. This can be achieved by
+    setting `horizontal=True` in the `plot()` method. See the
+    [Horizontal Plots](../tutorials/08-horizontal_plot.html) tutorial
+    for more details.
+
+3.  **Forest Plots**: Forest plots provide a simple and intuitive way to
+    visualize many delta-delta (or Deltas’ g), mini-meta, or regular
+    delta effect sizes at once from multiple different dabest objects
+    without presenting the raw data. See the [Forest
+    Plots](../tutorials/07-forest_plot.html) tutorial for more details.
+
+4.  **Gridkey**: Users can now represent their experimental labels in a
+    gridkey format. This can be accessed with the `gridkey` argument in
+    the `plot()` method. See the gridkey section in the [Plot
     Aesthetics](../tutorials/09-plot_aesthetics.html) tutorial for more
     details.
 
 5.  **Aesthetic Updates**: We have made several aesthetic improvements
     to the plots, including:
 
-    - **Swarm, Contrast, and Summary bars**: We have added bars to
-      better highlight the various groups and their differences. These
-      bars can be customized to suit the user’s needs. The swarm and
-      contrast bars are provided by default, while the summary bars can
-      be added by the user. See the relevant sections in the [Plot
+    - **Raw, Contrast, and Summary bars**: We added bars highlighting
+      the various groups’ differences. These bars can be customized to
+      suit the user’s needs. Raw and contrast bars are provided by
+      default, summary bars can be added by the user. See the relevant
+      sections in the [Plot
       Aesthetics](../tutorials/09-plot_aesthetics.html) tutorial for
       more details.
 
-    - **Delta-Delta Plots**: We have modified the delta-delta plot
-      format to be more compact and easier to read. The new format
-      brings the delta-delta (or Deltas’ g) effect size closer to the
-      regular effect sizes. In addition, a gap has been added to the
+    - **Delta-Delta and Mini-Meta Plots**: We have adjusted the spacing
+      of delta-delta and mini-meta plots to reduce whitespace. The new
+      format brings the added effect size closer to the regular effect
+      sizes. In addition, delta-delta plots now have a gap in the
       zeroline to separate the delta-delta and regular effect sizes.
 
-    - **Delta-delta Effect Sizes for Proportion Plots**: Delta-delta
-      effect sizes for proportion plots are now available.
-
-    - **Mini-Meta Plots**: We have modified the mini-meta plot format to
-      be more compact and easier to read. The new format brings the
-      mini-meta effect size closer to the regular effect sizes.
+    - **Delta-Delta Effect Sizes for Proportion Plots**: Delta-delta
+      experimental plotting now supports binary data.
 
-    - **Proportion Plots Sample Sizes**: We have updated the proportion
-      plots to show sample sizes for each group. These can be toggled on
-      or off via the `prop_sample_counts` parameter.
+    - **Proportion Plots Sample Sizes**: The sample size of each binary
+      option for each group can now be displayed. These can be toggled
+      on or off via the `prop_sample_counts` parameter.
 
-    - **Effect Size Lines for Paired Plots**: Effect size lines for
-      paired plots are now available. These can be toggled on or off via
-      the `es_paired_lines` parameter.
+    - **Effect Size Lines for Paired Plots**: Paired plots now display
+      lines linking the effect sizes within a group together in the
+      contrast axes. These can be toggled on or off via the
+      `contrast_paired_lines` parameter.
 
-    - **Baseline Error Curves**: Plots now include a baseline error dot
-      and curve to show the error of the baseline/control group. By
-      default, the dot is shown, while the curve can be added by the
-      user (via the `show_baseline_ec` parameter).
+    - **Baseline Error Curves**: Baseline error dot and curve are now
+      available to represent the baseline/control group in the contrast
+      axes. The dot is shown by default, while the curve can be toggled
+      on/off by the user (via the `show_baseline_ec` parameter).
 
-    - **Delta Text**: There is now an option to display delta text on
-      the contrast axes. It displays the effect size of the contrast
-      group relative to the reference group. This can be toggled on or
-      off via the `delta_text` parameter. It is on by default.
+    - **Delta Text**: Effect size deltas are now displayed as text next
+      to their respective effect size. This can be toggled on or off via
+      the `delta_text` parameter.
 
     - **Empty Circle Color Palette**: A new swarmplot color palette
       modification is available for unpaired plots via the
@@ -92,26 +85,31 @@ performance improvements. It’s a big one!
 6.  **Miscellaneous Improvements & Adjustments**
 
     - **Numba for Speed Improvements**: We have included Numba to speed
-      up the various calculations in DABEST. This should make the
-      calculations faster and more efficient. Importing DABEST may take
-      a little longer than before, and a progress bar will appear during
-      the import process to show the calculations being performed. Once
-      imported, loading and plotting data should now be faster.
+      up the various calculations in DABEST. Precalculations will be
+      performed during import, which will help speed up the subsequent
+      loading and plotting of data.
 
     - **Terminology Updates**: We have made several updates to the
       documentation and terminology to improve clarity and consistency.
       For example:
 
+      - Plot arguments have been adjusted to bring more clarity and
+        consistency in naming. Arguments relating to the rawdata plot
+        axis will now be typically referred to with ‘raw’ while
+        arguments relating to the contrast axis will be referred to with
+        ‘contrast’. For example, ‘raw_label’ replaces ‘swarm_label’ and
+        ‘bar_label’. The various kwargs relating to each different type
+        of plot (e.g., swarmplot_kwargs) remain unchanged.
       - The method to utilise the Deltas’ g effect size is now via the
-        `.hedges_g.plot()` method now rather than creating a whole new
-        `Delta_g` object as before. The functionality remains the same,
-        it plots hedges_g effect sizes and then the Deltas’ g effect
-        size alongside these (if a delta-delta experiment was loaded
+        .hedges_g.plot() method rather than creating a whole new Delta_g
+        object as before. The functionality remains the same, it plots
+        hedges_g effect sizes and then the Deltas’ g effect size
+        alongside these (if a delta-delta experiment was loaded
         correctly).
 
     - **Updated Tutorial Pages**: We have updated the tutorial pages to
       reflect the new features and changes. The tutorial pages are now
-      more comprehensive and hopefully more intuitive!
+      more comprehensive and (hopefully!) more intuitive!
 
     - **Results Dataframe for Delta-Delta and Mini-Meta Plots**: A
       results dataframe can now be extracted for both the delta-delta