@@ -155,7 +155,7 @@ def blockmean(data=None, x=None, y=None, z=None, outfile=None, **kwargs):
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>>> import pygmt
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>>> # Load a table of ship observations of bathymetry off Baja California
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>>> data = pygmt.datasets.load_sample_data(name="bathymetry")
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- >>> # Calculate block mean values within 5 by 5 minute bins
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+ >>> # Calculate block mean values within 5 by 5 arc- minute bins
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>>> data_bmean = pygmt.blockmean(
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... data=data, region=[245, 255, 20, 30], spacing="5m"
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... )
@@ -242,7 +242,7 @@ def blockmedian(data=None, x=None, y=None, z=None, outfile=None, **kwargs):
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>>> import pygmt
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>>> # Load a table of ship observations of bathymetry off Baja California
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>>> data = pygmt.datasets.load_sample_data(name="bathymetry")
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- >>> # Calculate block median values within 5 by 5 minute bins
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+ >>> # Calculate block median values within 5 by 5 arc- minute bins
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>>> data_bmedian = pygmt.blockmedian(
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... data=data, region=[245, 255, 20, 30], spacing="5m"
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... )
@@ -329,7 +329,7 @@ def blockmode(data=None, x=None, y=None, z=None, outfile=None, **kwargs):
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>>> import pygmt
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>>> # Load a table of ship observations of bathymetry off Baja California
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>>> data = pygmt.datasets.load_sample_data(name="bathymetry")
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- >>> # Calculate block mode values within 5 by 5 minute bins
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+ >>> # Calculate block mode values within 5 by 5 arc- minute bins
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>>> data_bmode = pygmt.blockmode(
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... data=data, region=[245, 255, 20, 30], spacing="5m"
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... )
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