diff --git a/src/spikeinterface/postprocessing/localization_tools.py b/src/spikeinterface/postprocessing/localization_tools.py
index 837b983059..59c12a9923 100644
--- a/src/spikeinterface/postprocessing/localization_tools.py
+++ b/src/spikeinterface/postprocessing/localization_tools.py
@@ -3,6 +3,8 @@
 import warnings
 
 import numpy as np
+from spikeinterface.core import SortingAnalyzer, Templates, compute_sparsity
+from spikeinterface.core.template_tools import _get_nbefore, get_dense_templates_array, get_template_extremum_channel
 
 try:
     import numba
@@ -12,10 +14,6 @@
     HAVE_NUMBA = False
 
 
-from spikeinterface.core import compute_sparsity, SortingAnalyzer, Templates
-from spikeinterface.core.template_tools import get_template_extremum_channel, _get_nbefore, get_dense_templates_array
-
-
 def compute_monopolar_triangulation(
     sorting_analyzer_or_templates: SortingAnalyzer | Templates,
     unit_ids=None,
@@ -110,7 +108,7 @@ def compute_monopolar_triangulation(
         # wf is (nsample, nchan) - chann is only nieghboor
         wf = templates[i, :, :][:, chan_inds]
         if feature == "ptp":
-            wf_data = wf.ptp(axis=0)
+            wf_data = np.ptp(wf, axis=0)
         elif feature == "energy":
             wf_data = np.linalg.norm(wf, axis=0)
         elif feature == "peak_voltage":
@@ -188,7 +186,7 @@ def compute_center_of_mass(
         wf = templates[i, :, :]
 
         if feature == "ptp":
-            wf_data = (wf[:, chan_inds]).ptp(axis=0)
+            wf_data = np.ptp(wf[:, chan_inds], axis=0)
         elif feature == "mean":
             wf_data = (wf[:, chan_inds]).mean(axis=0)
         elif feature == "energy":
diff --git a/src/spikeinterface/sortingcomponents/motion/dredge.py b/src/spikeinterface/sortingcomponents/motion/dredge.py
index e2b6b1a2bc..bfedd4e1ee 100644
--- a/src/spikeinterface/sortingcomponents/motion/dredge.py
+++ b/src/spikeinterface/sortingcomponents/motion/dredge.py
@@ -22,20 +22,19 @@
 
 """
 
+import gc
 import warnings
 
-from tqdm.auto import trange
 import numpy as np
-
-import gc
+from tqdm.auto import trange
 
 from .motion_utils import (
     Motion,
+    get_spatial_bin_edges,
     get_spatial_windows,
     get_window_domains,
-    scipy_conv1d,
     make_2d_motion_histogram,
-    get_spatial_bin_edges,
+    scipy_conv1d,
 )
 
 
@@ -979,7 +978,7 @@ def xcorr_windows(
 
     if max_disp_um is None:
         if rigid:
-            max_disp_um = int(spatial_bin_edges_um.ptp() // 4)
+            max_disp_um = int(np.ptp(spatial_bin_edges_um) // 4)
         else:
             max_disp_um = int(win_scale_um // 4)