@@ -148,8 +148,8 @@ def _cleanDataFrameResults(mattype, rearMat, Wm2Front, Wm2Back,
148148 # agriPV is true for that row
149149 _matchAgriPV = ['sky' , 'pole' , 'tube' , 'bar' , '3267' , '1540' , '1540' ]
150150 _match = ['sky' , 'pole' , 'tube' , 'bar' , 'ground' , '3267' , '1540' ]
151- matcharray = np .row_stack ([_matchAgriPV if row .isna ().all () else _match
152- for (n ,row ) in rearMat .iterrows ()])
151+ matcharray = np .vstack ([_matchAgriPV if row .isna ().all () else _match
152+ for (n ,row ) in rearMat .iterrows ()])
153153 """
154154 if Wm2Front.size != Wm2Back.size:
155155 agriPV = True
@@ -159,16 +159,16 @@ def _cleanDataFrameResults(mattype, rearMat, Wm2Front, Wm2Back,
159159 matchers = ['sky', 'pole', 'tube', 'bar', 'ground', '3267', '1540']
160160 """
161161
162- maskfront = np .row_stack ([row .str .contains ('|' .join (matcharray [index ]),
163- na = False ) for (index , row ) in
164- mattype .iterrows ()])
162+ maskfront = np .vstack ([row .str .contains ('|' .join (matcharray [index ]),
163+ na = False ) for (index , row ) in
164+ mattype .iterrows ()])
165165
166166 Wm2Front [maskfront ] = np .nan
167167
168168 try :
169- maskback = np .row_stack ([row .str .contains ('|' .join (matcharray [index ]),
170- na = False ) for (index , row ) in
171- rearMat .iterrows ()])
169+ maskback = np .vstack ([row .str .contains ('|' .join (matcharray [index ]),
170+ na = False ) for (index , row ) in
171+ rearMat .iterrows ()])
172172 Wm2Back [maskback ] = np .nan
173173 except AttributeError : # rearMat is empty
174174 pass
0 commit comments