Apply the same to remaining instance

mkcor · mkcor · commit c022b440476b · 2025-02-19T22:53:42.000+01:00
diff --git a/doc/examples/applications/plot_fluorescence_nuclear_envelope.py b/doc/examples/applications/plot_fluorescence_nuclear_envelope.py
@@ -203,11 +203,13 @@
 # dimension now contains all pixel values), and applying the thresholding
 # function on the image sequence along its second axis:
 #
-# .. code-block:: python
+#   .. code-block:: python
+#      :caption: NumPy's `apply_along_axis` applies a function to 1D slices of
+#                `arr` along `axis`.
 #
-#     thresh_values = np.apply_along_axis(filters.threshold_otsu,
-#                                         axis=1,
-#                                         arr=smooth_seq.reshape(n_z, -1))
+#       thresh_values = np.apply_along_axis(filters.threshold_otsu,
+#                                           axis=1,
+#                                           arr=smooth_seq.reshape(n_z, -1))
 #
 # We use the following flat structuring element for morphological
 # computations (``np.newaxis`` is used to prepend an axis of size 1 for time):

Original file line number	Diff line number	Diff line change
`@@ -203,11 +203,13 @@`
`203`	`203`	`# dimension now contains all pixel values), and applying the thresholding`
`204`	`204`	`# function on the image sequence along its second axis:`
`205`	`205`	`#`
`206`		`-# .. code-block:: python`
	`206`	`+# .. code-block:: python`
	`207`	+# :caption: NumPy's `apply_along_axis` applies a function to 1D slices of
	`208`	+# `arr` along `axis`.
`207`	`209`	`#`
`208`		`-# thresh_values = np.apply_along_axis(filters.threshold_otsu,`
`209`		`-# axis=1,`
`210`		`-# arr=smooth_seq.reshape(n_z, -1))`
	`210`	`+# thresh_values = np.apply_along_axis(filters.threshold_otsu,`
	`211`	`+# axis=1,`
	`212`	`+# arr=smooth_seq.reshape(n_z, -1))`
`211`	`213`	`#`
`212`	`214`	`# We use the following flat structuring element for morphological`
`213`	`215`	# computations (``np.newaxis`` is used to prepend an axis of size 1 for time):