Fix nan checking with string

ipi_extract.py

@@ -287,7 +287,7 @@ class Callback(object):
             pos = int(FSSR*event.xdata)
             mpos = np.argmax(self.song_resample[max(pos-int(FSSR*FSPK),0):pos+int(FSSR*FSPK)]) + max(pos-int(FSSR*FSPK),0)
             if self.curr_ind[self.curr] is not None:
-                if np.all(np.isnan(list(self.df[self.offset[self.curr_ind[self.curr], 0]].values()))):
+                if np.all(pd.isnull(list(self.df[self.offset[self.curr_ind[self.curr], 0]].values()))):
                     self.scat._facecolors[self.curr_ind[self.curr]] = [0.7, 0.2, 0.5, 1]
                 else:
                     self.scat._facecolors[self.curr_ind[self.curr]] = [0, 0, 0, 1]
@@ -712,7 +712,7 @@ def main(args):
         outpath = args.out
     if os.path.isfile(outpath):
         if not (args.erase or args.resume):
-            print(f'Out file {outpath} already exist and erase option isn\'t set.')
+            print(f'Out file {outpath} already exist and erase or resume option isn\'t set.')
             return 1
     elif args.resume:
         print(f'Out file {outpath} does not already exist and resume option is set.')
@@ -727,7 +727,7 @@ def main(args):
         ref_dict['callback'].scat.set_offsets(ref_dict['callback'].offset)
         colors = np.array(len(ref_dict['callback'].offset)*[[0.7, 0.2, 0.5, 1]])
         for i, p in enumerate(ref_dict['callback'].offset[:, 0]):
-            if not np.all(np.isnan(list(ref_dict['callback'].df[p].values()))):
+            if not np.all(pd.isnull(list(ref_dict['callback'].df[p].values()))):
                 colors[i] = [0, 0, 0, 1]
         ref_dict['callback'].scat.set_color(colors)
     plt.draw()