@@ -135,7 +135,7 @@ def woa_profile(lon, lat, variable="temperature", time_period="annual", resoluti
135135 ... -143, 10, variable="temperature", time_period="annual", resolution="5"
136136 ... )
137137 >>> fig, ax = plt.subplots(figsize=(2.25, 5))
138- >>> woa.plot(ax=ax, y="depth")
138+ >>> l = woa.plot(ax=ax, y="depth")
139139 >>> ax.grid(True)
140140 >>> ax.invert_yaxis()
141141
@@ -185,7 +185,7 @@ def woa_subset(
185185 >>> woa = woa_subset(
186186 ... *bbox, variable="temperature", time_period="annual", resolution="5"
187187 ... )
188- >>> woa.squeeze() .sel(depth=0).plot(cmap=cm.lajolla)
188+ >>> cs = woa["t_mn"] .sel(depth=0).plot(cmap=cm.lajolla)
189189
190190 >>> # Extract a square around the Mariana Trench averaging into a profile.
191191 >>> import matplotlib.pyplot as plt
@@ -206,12 +206,12 @@ def woa_subset(
206206 ... *bbox, time_period=month, variable="temperature", resolution="1"
207207 ... )
208208 ... profile = area_weights_avg(woa)
209- ... profile.plot(ax=ax, y="depth", label=month, color=next(colors))
209+ ... l = profile.plot(ax=ax, y="depth", label=month, color=next(colors))
210210 ...
211211 >>> ax.grid(True)
212212 >>> ax.invert_yaxis()
213213 >>> leg = ax.legend(loc="lower left")
214- >>> ax.set_ylim(200, 0)
214+ >>> _ = ax.set_ylim(200, 0)
215215
216216 """
217217 import cf_xarray # noqa
@@ -287,7 +287,7 @@ def get_depth(lon, lat, tfile=None):
287287 lat .min () - offset ,
288288 lat .max () + offset ,
289289 ]
290- lons , lats , bathy = etopo_subset (bbox , tfile = tfile , smoo = False )
290+ lons , lats , bathy = etopo_subset (* bbox , tfile = tfile , smoo = False )
291291
292292 return get_profile (lons , lats , bathy , lon , lat , mode = "nearest" , order = 3 )
293293
@@ -303,10 +303,10 @@ def get_isobath(bbox, iso=-200, tfile=None, smoo=False):
303303 >>> import matplotlib.pyplot as plt
304304 >>> bbox = [-43, -30, -22, -17]
305305 >>> segments = get_isobath(bbox=bbox, iso=-200, smoo=True)
306- >>> lon, lat, bathy = etopo_subset(bbox= bbox, smoo=True)
306+ >>> lon, lat, bathy = etopo_subset(* bbox, smoo=True)
307307 >>> fig, ax = plt.subplots()
308308 >>> cs = ax.pcolormesh(lon, lat, bathy)
309- >>> for segment in segmentsz :
309+ >>> for segment in segments :
310310 ... lines = ax.plot(segment[:, 0], segment[:, -1], "k", linewidth=2)
311311 ...
312312
0 commit comments