Fix blockm inline example missing doctest skip
@@ -152,7 +152,9 @@ def blockmean(data=None, x=None, y=None, z=None, outfile=None, **kwargs):
-------
>>> import pygmt # doctest: +SKIP
>>> # Load a table of ship observations of bathymetry off Baja California
- >>> data = pygmt.datasets.load_sample_data(name="bathymetry")
+ >>> data = pygmt.datasets.load_sample_data(
+ ... name="bathymetry"
+ ... ) # doctest: +SKIP
>>> # Calculate block mean values within 5 by 5 minute bins
>>> data_bmean = pygmt.blockmean(
... data=data, region=[245, 255, 20, 30], spacing="5m"
@@ -240,7 +242,9 @@ def blockmedian(data=None, x=None, y=None, z=None, outfile=None, **kwargs):
-------
>>> import pygmt # doctest: +SKIP
>>> # Load a table of ship observations of bathymetry off Baja California
- >>> data = pygmt.datasets.load_sample_data(name="bathymetry")
+ >>> data = pygmt.datasets.load_sample_data(
+ ... name="bathymetry"
+ ... ) # doctest: +SKIP
>>> # Calculate block median values within 5 by 5 minute bins
>>> data_bmedian = pygmt.blockmedian(
... data=data, region=[245, 255, 20, 30], spacing="5m"
@@ -328,7 +332,9 @@ def blockmode(data=None, x=None, y=None, z=None, outfile=None, **kwargs):
-------
>>> import pygmt # doctest: +SKIP
>>> # Load a table of ship observations of bathymetry off Baja California
- >>> data = pygmt.datasets.load_sample_data(name="bathymetry")
+ >>> data = pygmt.datasets.load_sample_data(
+ ... name="bathymetry"
+ ... ) # doctest: +SKIP
>>> # Calculate block mode values within 5 by 5 minute bins
>>> data_bmode = pygmt.blockmode(
... data=data, region=[245, 255, 20, 30], spacing="5m"
