add try except for lexsort on object array

Author: peterpanmj

pandas/_libs/algos_rank_helper.pxi.in

@@ -104,23 +104,21 @@ def rank_1d_{{dtype}}(object in_arr, ties_method='average', ascending=True,
     try:
         # lexsort on object array will raise TypeError for numpy version 
         # earlier than 1.11.0
-        _dt = [('values', 'object'), ('mask', 'bool')]
-        _values = np.asarray(list(zip(mask, values)), dtype=_dt)
-        if ascending ^ (na_option == 'top'):
-            _values = np.asarray(list(zip(values, mask)), dtype=_dt)
-        else:
-            _values = np.asarray(list(zip(values, (~mask))), dtype=_dt)
-        _as = np.argsort(_values, kind='mergesort', order=('mask', 'values'))
+        _as = np.lexsort(keys=(mask, values))
     except TypeError:
-        if not retry:
-            raise
-
-        valid_locs = (~mask).nonzero()[0]
-        ranks.put(valid_locs, rank_1d_object(values.take(valid_locs), 0,
-                                             ties_method=ties_method,
-                                             ascending=ascending))
-        np.putmask(ranks, mask, np.nan)
-        return ranks
+        try:
+            _dt = [('values', 'O'), ('mask', '?')]
+            _values = np.asarray(list(zip(values, mask)), dtype=_dt)
+            _as = np.argsort(_values, kind='mergesort', order=('values', 'mask'))
+        except TypeError:
+            if not retry:
+                raise
+            valid_locs = (~mask).nonzero()[0]
+            ranks.put(valid_locs, rank_1d_object(values.take(valid_locs), 0,
+                                                 ties_method=ties_method,
+                                                 ascending=ascending))
+            np.putmask(ranks, mask, np.nan)
+            return ranks
     {{else}}
     if tiebreak == TIEBREAK_FIRST:
         # need to use a stable sort here