feat(vtk): include all arrays on pathline input (#2161)

Instead of hardcoding which arrays to include in vtk pathline export, include all numeric arrays present in the pathline data

flopy/export/vtk.py

@@ -1098,8 +1098,8 @@ def add_pathline_points(self, pathlines, timeseries=False):
             animation or as a single static vtk file. Default is false.
         """
 
-        mpx_keys = ["particleid", "time", "k"]
-        prt_keys = ["imdl", "iprp", "irpt", "trelease", "ilay"]
+        mpx_fields = ["particleid", "time", "k"]
+        prt_fields = ["imdl", "iprp", "irpt", "trelease", "ilay"]
 
         if isinstance(pathlines, list):
             if len(pathlines) == 0:
@@ -1112,23 +1112,32 @@ def add_pathline_points(self, pathlines, timeseries=False):
                 )
                 for pl in pathlines
             ]
-            if all(k in pathlines[0].dtype.names for k in mpx_keys):
-                keys = mpx_keys
-            elif all(k in pathlines[0].dtype.names for k in prt_keys):
-                keys = prt_keys
-            else:
+            fields = pathlines[0].dtype.names
+            arr_fields = {
+                n: pathlines[0].dtype[n]
+                for n in fields
+                if np.issubdtype(pathlines[0].dtype[n], np.number)
+            }
+            if not (
+                all(k in fields for k in mpx_fields)
+                or all(k in fields for k in prt_fields)
+            ):
                 raise ValueError("Unrecognized pathline dtype")
         elif isinstance(pathlines, (np.recarray, np.ndarray, pd.DataFrame)):
             if isinstance(pathlines, pd.DataFrame):
                 pathlines = pathlines.to_records(index=False)
-            if all(k in pathlines.dtype.names for k in mpx_keys):
-                keys = mpx_keys
+            fields = pathlines.dtype.names
+            arr_fields = {
+                n: pathlines.dtype[n]
+                for n in fields
+                if np.issubdtype(pathlines.dtype[n], np.number)
+            }
+            if all(k in pathlines.dtype.names for k in mpx_fields):
                 pids = np.unique(pathlines.particleid)
                 pathlines = [
                     pathlines[pathlines.particleid == pid] for pid in pids
                 ]
-            elif all(k in pathlines.dtype.names for k in prt_keys):
-                keys = prt_keys
+            elif all(k in pathlines.dtype.names for k in prt_fields):
                 pls = []
                 for imdl in np.unique(pathlines.imdl):
                     for iprp in np.unique(pathlines.iprp):
@@ -1150,7 +1159,7 @@ def add_pathline_points(self, pathlines, timeseries=False):
             )
 
         if not timeseries:
-            arrays = {key: [] for key in keys}
+            arrays = {f: [] for f in arr_fields}
             points = []
             lines = []
             for recarray in pathlines:
@@ -1160,8 +1169,8 @@ def add_pathline_points(self, pathlines, timeseries=False):
                     t = tuple(rec[["x", "y", "z"]])
                     line.append(t)
                     points.append(t)
-                    for key in keys:
-                        arrays[key].append(rec[key])
+                    for f in arr_fields:
+                        arrays[f].append(rec[f])
                 lines.append(line)
 
             self._set_particle_track_data(points, lines, arrays)
@@ -1176,14 +1185,12 @@ def add_pathline_points(self, pathlines, timeseries=False):
                     time = rec["time"]
                     if time not in points:
                         points[time] = [tuple(rec[["x", "y", "z"]])]
-                        t = {key: [] for key in keys}
-                        timeseries_data[time] = t
-
+                        timeseries_data[time] = {f: [] for f in arr_fields}
                     else:
                         points[time].append(tuple(rec[["x", "y", "z"]]))
 
-                    for key in keys:
-                        timeseries_data[time][key].append(rec[key])
+                    for f in arr_fields:
+                        timeseries_data[time][f].append(rec[f])
 
             self.__pathline_transient_data = timeseries_data
             self._pathline_points = points