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rasterio.enums.Resampling: fix enum docs (#3352)
* rasterio.enums.Resampling: fix enum docs * Fix enum name * Inline documentation
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@ -4,8 +4,8 @@ from enum import Enum, IntEnum
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class TransformDirection(IntEnum):
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"""Coordinate transform direction
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Forward transform direction defined as image pixel (row, col) to
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Forward transform direction defined as image pixel (row, col) to
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geographic/projected (x, y) coordinates. Reverse transform direction defined as
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geographic/projected (x, y) to image pixel (row, col) coordinates.
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@ -69,40 +69,7 @@ class ColorInterp(IntEnum):
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class Resampling(IntEnum):
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"""Available warp resampling algorithms.
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Attributes
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----------
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nearest
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Nearest neighbor resampling (default, fastest algorithm, worst interpolation quality).
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bilinear
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Bilinear resampling.
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cubic
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Cubic resampling.
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cubic_spline
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Cubic spline resampling.
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lanczos
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Lanczos windowed sinc resampling.
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average
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Average resampling, computes the weighted average of all non-NODATA contributing pixels.
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mode
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Mode resampling, selects the value which appears most often of all the sampled points.
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gauss
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Gaussian resampling, Note: not available to the functions in rio.warp.
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max
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Maximum resampling, selects the maximum value from all non-NODATA contributing pixels. (GDAL >= 2.0)
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min
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Minimum resampling, selects the minimum value from all non-NODATA contributing pixels. (GDAL >= 2.0)
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med
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Median resampling, selects the median value of all non-NODATA contributing pixels. (GDAL >= 2.0)
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q1
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Q1, first quartile resampling, selects the first quartile value of all non-NODATA contributing pixels. (GDAL >= 2.0)
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q3
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Q3, third quartile resampling, selects the third quartile value of all non-NODATA contributing pixels. (GDAL >= 2.0)
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sum
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Sum, compute the weighted sum of all non-NODATA contributing pixels. (GDAL >= 3.1)
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rms
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RMS, root mean square / quadratic mean of all non-NODATA contributing pixels. (GDAL >= 3.3)
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Notes
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----------
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The first 8, 'nearest', 'bilinear', 'cubic', 'cubic_spline',
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@ -121,20 +88,35 @@ class Resampling(IntEnum):
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Note: 'gauss' is not available to the functions in rio.warp.
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"""
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nearest = 0
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"""Nearest neighbor resampling (default, fastest algorithm, worst interpolation quality)."""
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bilinear = 1
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"""Bilinear resampling."""
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cubic = 2
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"""Cubic resampling."""
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cubic_spline = 3
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"""Cubic spline resampling."""
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lanczos = 4
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"""Lanczos windowed sinc resampling."""
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average = 5
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"""Average resampling, computes the weighted average of all non-NODATA contributing pixels."""
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mode = 6
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"""Mode resampling, selects the value which appears most often of all the sampled points."""
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gauss = 7
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"""Gaussian resampling, Note: not available to the functions in rio.warp."""
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max = 8
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"""Maximum resampling, selects the maximum value from all non-NODATA contributing pixels. (GDAL >= 2.0)"""
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min = 9
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"""Minimum resampling, selects the minimum value from all non-NODATA contributing pixels. (GDAL >= 2.0)"""
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med = 10
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"""Median resampling, selects the median value of all non-NODATA contributing pixels. (GDAL >= 2.0)"""
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q1 = 11
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"""Q1, first quartile resampling, selects the first quartile value of all non-NODATA contributing pixels. (GDAL >= 2.0)"""
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q3 = 12
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"""Q3, third quartile resampling, selects the third quartile value of all non-NODATA contributing pixels. (GDAL >= 2.0)"""
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sum = 13
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"""Sum, compute the weighted sum of all non-NODATA contributing pixels. (GDAL >= 3.1)"""
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rms = 14
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"""RMS, root mean square / quadratic mean of all non-NODATA contributing pixels. (GDAL >= 3.3)"""
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class OverviewResampling(IntEnum):
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