PEP8 changes.

sunpy · Jun 15, 2018 · 50200a4 · 50200a4
1 parent f9863f5
commit 50200a4
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Showing 2 changed files with 8 additions and 6 deletions.
diff --git a/ndcube/mixins/sequence_plotting.py b/ndcube/mixins/sequence_plotting.py
@@ -1024,7 +1024,7 @@ def __init__(self, seq, plot_axis_index=None, axis_ranges=None, unit_x_axis=None
                     # If extra coord is same for each cube, storing
                     # values as single 1D axis range will suffice.
                     if ((np.array(x_axis_coords) == x_axis_coords[0]).all() and
-                        (len(extra_coord_axes) == 1)):
+                            (len(extra_coord_axes) == 1)):
                         x_axis_coords = x_axis_coords[0]
                     else:
                         # Else if all axes are not dependent, create an array of x-axis
@@ -1172,7 +1172,8 @@ def __init__(self, seq, plot_axis_index=None, axis_ranges=None, unit_x_axis=None
         cubes_with_mask = np.array([False if cube.mask is None else True for cube in seq.data])
         if cubes_with_mask.any():
             if cubes_with_mask.all():
-                mask_concat = np.concatenate([cube.mask for cube in seq.data], axis=seq._common_axis)
+                mask_concat = np.concatenate(
+                    [cube.mask for cube in seq.data], axis=seq._common_axis)
             else:
                 masks = []
                 for i, cube in enumerate(seq.data):

diff --git a/ndcube/tests/test_sequence_plotting.py b/ndcube/tests/test_sequence_plotting.py
@@ -181,7 +181,7 @@
     common_axis=common_axis)
 
 seq_with_some_masks = NDCubeSequence(data_list=[cube1_with_mask, cube3, cube1, cube3_with_mask],
-    common_axis=common_axis)
+                                     common_axis=common_axis)
 
 seqm = NDCubeSequence(data_list=[cubem1, cubem3, cubem1, cubem3], common_axis=common_axis)
 
@@ -225,7 +225,7 @@
 
 userrangequantity_none_axis_ranges_axis0_1e7 = [
     (np.arange(int(seq.dimensions[0].value)) * u.J).to(u.erg).value, np.array([0., 1., 2.]),
-     np.arange(0, 4), np.arange(0, int(seq.dimensions[-1].value)+1)]
+    np.arange(0, 4), np.arange(0, int(seq.dimensions[-1].value)+1)]
 
 hi2_none_axis_ranges_axis2 = [
     np.arange(0, len(seq.data)+1), np.array([0., 1., 2.]),
@@ -238,7 +238,7 @@
 x_axis_coords1[2, 1] = 1.
 x_axis_coords1[3, 0] = 2.
 x_axis_coords1[3, 1] = 3.
-pix1_none_axis_ranges_axis1 =  [
+pix1_none_axis_ranges_axis1 = [
     np.arange(0, len(seq.data)+1), x_axis_coords1, np.arange(0, 4),
     np.arange(0, int(seq.dimensions[-1].value)+1)]
 
@@ -249,7 +249,8 @@
                    seq[:, :, :, 0].data[0].axis_world_coords()[-1][-1].value]
 
 # Derive expected axis_ranges for cube-like cases.
-cube_like_new_x_axis_coords2_shape = u.Quantity(seq.cube_like_dimensions, unit=u.pix).value.astype(int)
+cube_like_new_x_axis_coords2_shape = u.Quantity(
+    seq.cube_like_dimensions, unit=u.pix).value.astype(int)
 cube_like_new_x_axis_coords2_shape[-1] = 1
 cubelike_none_axis_ranges_axis2 = [
     np.arange(0, int(seq.cube_like_dimensions[0].value)+1), np.arange(0, 4),