Update

docs/api_guide/tutorial_pynapple_core.py

@@ -159,7 +159,7 @@
 # %%
 # Notice that you can pass directly a numpy array as long as it is the same size as the `TsGroup`.
 # 
-# We can also add new metadata by passing it as an item of the dictionary.
+# We can also add new metadata by passing it as an item of the dictionary with a string key.
 tsgroup["my_label3"] = np.random.randn(len(tsgroup))
 
 print(tsgroup)

docs/api_guide/tutorial_pynapple_nwb.py

@@ -79,6 +79,9 @@
 
 print(tc)
 
+# %%
+#   !!! warning
+#       Carefulness should still apply when calling any pynapple function on a memory map. Pynapple does not implement any batching function internally. Calling a high level function of pynapple on a dataset that do not fit in memory will likely cause a memory error.
 
 # %%
 # To change this behavior, you can pass `lazy_loading=False` when instantiating the `NWBClass`.
@@ -171,7 +174,3 @@
 print(type(tsdframe.values))
 print("\n")
 print(sta)
-
-# %%
-#   !!! warning
-#       Carefulness should still apply when calling any pynapple function on a memory map. Pynapple does not implement any batching function internally. Calling a high level function of pynapple on a dataset that do not fit in memory will likely cause a memory error.