rasterio.plot: fix parameters section title (#3346)

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Adam J. Stewart 2025-05-20 14:13:05 +02:00 committed by GitHub
parent 7764245339
commit 7f0036dfeb
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@ -31,7 +31,7 @@ def get_plt():
raise ImportError(msg)
def show(source, with_bounds=True, contour=False, contour_label_kws=None, indexes=None,
def show(source, with_bounds=True, contour=False, contour_label_kws=None, indexes=None,
ax=None, title=None, transform=None, percent_range=None, adjust=True, **kwargs):
"""Display a raster or raster band using matplotlib.
@ -58,7 +58,7 @@ def show(source, with_bounds=True, contour=False, contour_label_kws=None, indexe
transform : Affine, optional
Defines the affine transform if source is an array
percent_range: tuple, optional
percent_range[0], the minimum value (cumulative percentage) of the histogram for histogram streching,
percent_range[0], the minimum value (cumulative percentage) of the histogram for histogram streching,
percent_range[1], the maximum value (cumulative percentage) of the histogram for histogram streching
default percent_range is set to (2, 98).
adjust : bool
@ -130,8 +130,8 @@ def show(source, with_bounds=True, contour=False, contour_label_kws=None, indexe
if adjust:
if percent_range:
arr = contrast_strech(arr, percent_range)
else:
if arr.ndim == 2:
else:
if arr.ndim == 2:
arr = adjust_band(arr)
elif arr.ndim >= 3:
# Adjust each band by the min/max so it will plot as RGB.
@ -339,19 +339,20 @@ def show_hist(
def contrast_strech(arr, percent_range=(2.0, 98.0)):
"""
Histogram streching for better image visualization.
Parameters
Parameters
----------
arr : array-like in the image form of (rows, columns, bands)
image to reshape
image to reshape
percent_range: tuple, optional
percent_range[0], the minimum values (cumulative percentage) of the histogram for histogram streching,
percent_range[0], the minimum values (cumulative percentage) of the histogram for histogram streching,
percent_range[1], the maximum value (cumulative percentage) of the histogram for histogram streching
default percent_range is set to (2, 98).
"""
"""
arr_hist = np.nanpercentile(np.array(arr), (percent_range[0], percent_range[1]))
arr = (arr - arr_hist[0])/(arr_hist[1]-arr_hist[0])
arr = (arr - arr_hist[0])/(arr_hist[1]-arr_hist[0])
arr = np.clip(arr, 0, 1)
return arr
return arr
def adjust_band(band, kind=None):