Fix pandas problem

Author: Jacobluke-

dabest/_dabest_object.py

@@ -112,7 +112,7 @@ def __init__(
         # Determine the kind of estimation plot we need to produce.
         if all([isinstance(i, (str, int, float)) for i in idx]):
             # flatten out idx.
-            all_plot_groups = pd.unique(pd.Series(idx)).tolist()
+            all_plot_groups = pd.Series([t for t in idx]).unique().tolist()
             if len(idx) > len(all_plot_groups):
                 err0 = "`idx` contains duplicated groups. Please remove any duplicates and try again."
                 raise ValueError(err0)
@@ -122,7 +122,7 @@ def __init__(
             self.__idx = (idx,)
 
         elif all([isinstance(i, (tuple, list)) for i in idx]):
-            all_plot_groups = pd.unique(pd.Series([tt for t in idx for tt in t])).tolist()
+            all_plot_groups = pd.Series([tt for t in idx for tt in t]).unique().tolist()
 
             actual_groups_given = sum([len(i) for i in idx])
 

nbs/API/dabest_object.ipynb

@@ -180,7 +180,7 @@
     "        # Determine the kind of estimation plot we need to produce.\n",
     "        if all([isinstance(i, (str, int, float)) for i in idx]):\n",
     "            # flatten out idx.\n",
-    "            all_plot_groups = pd.unique(pd.Series(idx)).tolist()\n",
+    "            all_plot_groups = pd.Series([t for t in idx]).unique().tolist()\n",
     "            if len(idx) > len(all_plot_groups):\n",
     "                err0 = \"`idx` contains duplicated groups. Please remove any duplicates and try again.\"\n",
     "                raise ValueError(err0)\n",
@@ -190,7 +190,7 @@
     "            self.__idx = (idx,)\n",
     "\n",
     "        elif all([isinstance(i, (tuple, list)) for i in idx]):\n",
-    "            all_plot_groups = pd.unique(pd.Series([tt for t in idx for tt in t])).tolist()\n",
+    "            all_plot_groups = pd.Series([tt for t in idx for tt in t]).unique().tolist()\n",
     "\n",
     "            actual_groups_given = sum([len(i) for i in idx])\n",
     "\n",