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DOC: Fix outdated text in image_resampling example #32009

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DOC: Fix outdated text in image_resampling example #32009

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6 changes: 3 additions & 3 deletions galleries/examples/images_contours_and_fields/image_antialiasing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -63,7 +63,7 @@
#
# ``interpolation_stage='data'``: Data -> Interpolate/Resample -> Normalize -> RGBA
#
# For both keyword arguments, Matplotlib has a default "antialiased", that is
# For both keyword arguments, Matplotlib has a default "auto", that is
# recommended for most situations, and is described below. Note that this
# default behaves differently if the image is being down- or up-sampled, as
# described below.
Expand Down Expand Up @@ -166,12 +166,12 @@
# %%
# A final example shows the desirability of performing the anti-aliasing at the
# RGBA stage when using non-trivial interpolation kernels. In the following,
# the data in the upper 100 rows is exactly 0.0, and data in the inner circle
# the data in the outer circle is exactly 0.0, and data in the inner circle
# is exactly 2.0. If we perform the *interpolation_stage* in 'data' space and
# use an anti-aliasing filter (first panel), then floating point imprecision
# makes some of the data values just a bit less than zero or a bit more than
# 2.0, and they get assigned the under- or over- colors. This can be avoided if
# you do not use an anti-aliasing filter (*interpolation* set set to
# you do not use an anti-aliasing filter (*interpolation* set to
# 'nearest'), however, that makes the part of the data susceptible to Moiré
# patterns much worse (second panel). Therefore, we recommend the default
# *interpolation* of 'hanning'/'auto', and *interpolation_stage* of
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