Merge branch 'dev' into lint_tests

.gitignore

@@ -152,4 +152,7 @@ tutorials/data/KA28-190405/
 
 old
 data
-your
+your
+
+# Ignore npz files from testing:
+tests/*.npz

docs/api_guide/tutorial_pynapple_quick_start.py

@@ -111,7 +111,7 @@
 # -----------------
 # The core functions of pynapple provides many ways to manipulate time series. In this example, spike times are restricted to the wake epoch. Notice how the frequencies change from the original object.
 
-wake_ep = epochs["wake"]
+wake_ep = epochs[epochs.tags == "wake"]
 
 spikes_wake = spikes.restrict(wake_ep)
 print(spikes_wake)
@@ -192,7 +192,7 @@
     group=spikes_adn,
     binsize=20,  # ms
     windowsize=4000,  # ms
-    ep=epochs["wake"],
+    ep=epochs[epochs.tags == "wake"],
     norm=True,
     time_units="ms",
 )
@@ -201,7 +201,7 @@
     group=spikes_adn,
     binsize=5,  # ms
     windowsize=400,  # ms
-    ep=epochs["sleep"],
+    ep=epochs[epochs.tags == "sleep"],
     norm=True,
     time_units="ms",
 )
@@ -251,7 +251,7 @@
 decoded, proba_angle = nap.decode_1d(
     tuning_curves=tuning_curves_adn,
     group=spikes_adn,
-    ep=epochs["wake"],
+    ep=epochs[epochs.tags == "wake"],
     bin_size=0.3,  # second
     feature=head_direction,
 )
@@ -279,7 +279,7 @@
 decoded_sleep, proba_angle_Sleep = nap.decode_1d(
     tuning_curves=tuning_curves_adn,
     group=spikes_adn,
-    ep=epochs["sleep"],
+    ep=epochs[epochs.tags == "sleep"],
     bin_size=0.04,  # second
     feature=head_direction,
 )

docs/examples/tutorial_HD_dataset.py

@@ -99,7 +99,7 @@
     group=spikes_adn, 
     feature=angle, 
     nb_bins=61, 
-    ep = epochs['wake'],
+    ep = epochs[epochs.tags == "wake"],
     minmax=(0, 2 * np.pi)
     )
 
@@ -170,7 +170,7 @@ def smoothAngularTuningCurves(tuning_curves, sigma=2):
 decoded, proba_feature = nap.decode_1d(
     tuning_curves=tuning_curves,
     group=spikes_adn,
-    ep=epochs["wake"],
+    ep=epochs[epochs.tags == "wake"],
     bin_size=0.1,  # second
     feature=angle,
 )