removing the commented out code from prior change

dabest/plotter.py

@@ -344,59 +344,6 @@ def effectsize_df_plotter(effectsize_df, **plot_kwargs):
     results = effectsize_df.results
     contrast_xtick_labels = []
 
-    # for j, tick in enumerate(ticks_to_plot):
-    #     current_group = results.test[j]
-    #     current_control = results.control[j]
-    #     current_bootstrap = results.bootstraps[j]
-    #     current_effsize = results.difference[j]
-    #     if ci_type == "bca":
-    #         current_ci_low = results.bca_low[j]
-    #         current_ci_high = results.bca_high[j]
-    #     else:
-    #         current_ci_low = results.pct_low[j]
-    #         current_ci_high = results.pct_high[j]
-
-    #     # Create the violinplot.
-    #     # New in v0.2.6: drop negative infinities before plotting.
-    #     v = contrast_axes.violinplot(
-    #         current_bootstrap[~np.isinf(current_bootstrap)],
-    #         positions=[tick],
-    #         **violinplot_kwargs
-    #     )
-    #     # Turn the violinplot into half, and color it the same as the swarmplot.
-    #     # Do this only if the color column is not specified.
-    #     # Ideally, the alpha (transparency) fo the violin plot should be
-    #     # less than one so the effect size and CIs are visible.
-    #     if bootstraps_color_by_group:
-    #         fc = plot_palette_contrast[current_group]
-    #     else:
-    #         fc = "grey"
-
-    #     halfviolin(v, fill_color=fc, alpha=halfviolin_alpha)
-
-    #     # Plot the effect size.
-    #     contrast_axes.plot(
-    #         [tick],
-    #         current_effsize,
-    #         marker="o",
-    #         color=ytick_color,
-    #         markersize=es_marker_size,
-    #     )
-
-    #     # Plot the confidence interval.
-    #     contrast_axes.plot(
-    #         [tick, tick],
-    #         [current_ci_low, current_ci_high],
-    #         linestyle="-",
-    #         color=ytick_color,
-    #         linewidth=group_summary_kwargs["lw"],
-    #     )
-
-    #     contrast_xtick_labels.append(
-    #         "{}\nminus\n{}".format(current_group, current_control)
-    #     )
-
-
     ##### WIP
     (current_group, current_control, 
      current_effsize) = effect_size_curve_plotter(ticks_to_plot=ticks_to_plot, 

nbs/API/plotter.ipynb

@@ -403,59 +403,6 @@
     "    results = effectsize_df.results\n",
     "    contrast_xtick_labels = []\n",
     "\n",
-    "    # for j, tick in enumerate(ticks_to_plot):\n",
-    "    #     current_group = results.test[j]\n",
-    "    #     current_control = results.control[j]\n",
-    "    #     current_bootstrap = results.bootstraps[j]\n",
-    "    #     current_effsize = results.difference[j]\n",
-    "    #     if ci_type == \"bca\":\n",
-    "    #         current_ci_low = results.bca_low[j]\n",
-    "    #         current_ci_high = results.bca_high[j]\n",
-    "    #     else:\n",
-    "    #         current_ci_low = results.pct_low[j]\n",
-    "    #         current_ci_high = results.pct_high[j]\n",
-    "\n",
-    "    #     # Create the violinplot.\n",
-    "    #     # New in v0.2.6: drop negative infinities before plotting.\n",
-    "    #     v = contrast_axes.violinplot(\n",
-    "    #         current_bootstrap[~np.isinf(current_bootstrap)],\n",
-    "    #         positions=[tick],\n",
-    "    #         **violinplot_kwargs\n",
-    "    #     )\n",
-    "    #     # Turn the violinplot into half, and color it the same as the swarmplot.\n",
-    "    #     # Do this only if the color column is not specified.\n",
-    "    #     # Ideally, the alpha (transparency) fo the violin plot should be\n",
-    "    #     # less than one so the effect size and CIs are visible.\n",
-    "    #     if bootstraps_color_by_group:\n",
-    "    #         fc = plot_palette_contrast[current_group]\n",
-    "    #     else:\n",
-    "    #         fc = \"grey\"\n",
-    "\n",
-    "    #     halfviolin(v, fill_color=fc, alpha=halfviolin_alpha)\n",
-    "\n",
-    "    #     # Plot the effect size.\n",
-    "    #     contrast_axes.plot(\n",
-    "    #         [tick],\n",
-    "    #         current_effsize,\n",
-    "    #         marker=\"o\",\n",
-    "    #         color=ytick_color,\n",
-    "    #         markersize=es_marker_size,\n",
-    "    #     )\n",
-    "\n",
-    "    #     # Plot the confidence interval.\n",
-    "    #     contrast_axes.plot(\n",
-    "    #         [tick, tick],\n",
-    "    #         [current_ci_low, current_ci_high],\n",
-    "    #         linestyle=\"-\",\n",
-    "    #         color=ytick_color,\n",
-    "    #         linewidth=group_summary_kwargs[\"lw\"],\n",
-    "    #     )\n",
-    "\n",
-    "    #     contrast_xtick_labels.append(\n",
-    "    #         \"{}\\nminus\\n{}\".format(current_group, current_control)\n",
-    "    #     )\n",
-    "\n",
-    "\n",
     "    ##### WIP\n",
     "    (current_group, current_control, \n",
     "     current_effsize) = effect_size_curve_plotter(ticks_to_plot=ticks_to_plot, \n",