1111 'formatter_ticker_005' ,
1212 ])
1313def test_formatter_ticker ():
14- """Test Some formatter and ticker issues."""
1514 import matplotlib .testing .jpl_units as units
1615 units .register ()
1716
@@ -61,8 +60,6 @@ def test_basic_annotate():
6160
6261@image_comparison (baseline_images = ['polar_axes' ])
6362def test_polar_annotations ():
64- """Polar Plot Annotations"""
65-
6663 # you can specify the xypoint and the xytext in different
6764 # positions and coordinate systems, and optionally turn on a
6865 # connecting line and mark the point with a marker. Annotations
@@ -98,8 +95,6 @@ def test_polar_annotations():
9895 #--------------------------------------------------------------------
9996@image_comparison (baseline_images = ['polar_coords' ])
10097def test_polar_coord_annotations ():
101- """Polar Coordinate Annotations"""
102-
10398 # You can also use polar notation on a catesian axes. Here the
10499 # native coordinate system ('data') is cartesian, so you need to
105100 # specify the xycoords and textcoords as 'polar' if you want to
@@ -130,7 +125,6 @@ def test_polar_coord_annotations():
130125
131126@image_comparison (baseline_images = ['fill_units' ])
132127def test_fill_units ():
133- """Test the fill method with unitized-data."""
134128 from datetime import datetime
135129 import matplotlib .testing .jpl_units as units
136130 units .register ()
@@ -172,7 +166,6 @@ def test_fill_units():
172166
173167@image_comparison (baseline_images = ['single_point' ])
174168def test_single_point ():
175- """Test single-point plots."""
176169 fig = pylab .figure ()
177170 pylab .subplot ( 211 )
178171 pylab .plot ( [0 ], [0 ], 'o' )
@@ -184,8 +177,6 @@ def test_single_point():
184177
185178@image_comparison (baseline_images = ['single_date' ])
186179def test_single_date ():
187- """Test single-point date plots."""
188-
189180 time1 = [ 721964.0 ]
190181 data1 = [ - 65.54 ]
191182
@@ -200,8 +191,6 @@ def test_single_date():
200191
201192@image_comparison (baseline_images = ['single_date' ])
202193def test_shaped_data ():
203- """Test numpy shaped data."""
204-
205194 xdata = np .array ([[ 0.53295185 , 0.23052951 , 0.19057629 , 0.66724975 , 0.96577916 ,
206195 0.73136095 , 0.60823287 , 0.017921 , 0.29744742 , 0.27164665 ],
207196 [ 0.2798012 , 0.25814229 , 0.02818193 , 0.12966456 , 0.57446277 ,
@@ -246,7 +235,6 @@ def test_shaped_data():
246235
247236@image_comparison (baseline_images = ['const_xy' ])
248237def test_const_xy ():
249- """Test constant xy data."""
250238 fig = pylab .figure ()
251239
252240 pylab .subplot ( 311 )
@@ -264,8 +252,6 @@ def test_const_xy():
264252 'polar_wrap_360' ,
265253 ])
266254def test_polar_wrap ():
267- """Test polar plots where data crosses 0 degrees."""
268-
269255 D2R = np .pi / 180.0
270256
271257 fig = pylab .figure ()
@@ -291,7 +277,6 @@ def test_polar_wrap():
291277
292278@image_comparison (baseline_images = ['polar_units' ])
293279def test_polar_units ():
294- """Test polar plots with unitized data."""
295280 import matplotlib .testing .jpl_units as units
296281 units .register ()
297282
@@ -315,7 +300,6 @@ def test_polar_units():
315300
316301@image_comparison (baseline_images = ['axvspan_epoch' ])
317302def test_axvspan_epoch ():
318- """Test the axvspan method with Epochs."""
319303 from datetime import datetime
320304 import matplotlib .testing .jpl_units as units
321305 units .register ()
@@ -337,7 +321,6 @@ def test_axvspan_epoch():
337321
338322@image_comparison (baseline_images = ['axhspan_epoch' ])
339323def test_axhspan_epoch ():
340- """Test the axhspan method with Epochs."""
341324 from datetime import datetime
342325 import matplotlib .testing .jpl_units as units
343326 units .register ()
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