flake8 examples

.drone.yml

@@ -7,7 +7,7 @@ steps:
   image: pyrocko-nest
   pull: never
   commands:
-  - flake8 src test setup.py
+  - flake8 src test examples setup.py
 
 ---
 

examples/gshhg_example.py

@@ -1,5 +1,6 @@
 import numpy as num
 from pyrocko.dataset.gshhg import GSHHG
+from matplotlib import pyplot as plt
 
 gshhg = GSHHG.intermediate()
 # gshhg = GSHHG.full()
@@ -17,6 +18,5 @@ coordinates = num.array([lat_grid.ravel(), lon_grid.ravel()]).T
 
 land_mask = gshhg.get_land_mask(coordinates).reshape(*lat_grid.shape)
 
-from matplotlib import pyplot as plt
 plt.pcolormesh(lons, lats, land_mask, cmap='Greys')
 plt.show()

examples/make_flat_stationxml.py

@@ -16,7 +16,7 @@ for network in station_xml.network_list:
                     frequency=1.0,
                     input_units=fdsn.Units('M'),
                     output_units=fdsn.Units('COUNTS')))
-                    
+
 station_xml.validate()
 # print(station_xml.dump_xml())
 station_xml.dump_xml(filename='stations_flat_displacement.xml')

examples/moment_tensor_example1.py

@@ -6,12 +6,12 @@ exp = mtm.magnitude_to_moment(magnitude)  # convert the mag to moment in [Nm]
 
 # init pyrocko moment tensor
 m = mtm.MomentTensor(
-    mnn = 2.34*exp,
-    mee = -2.64*exp,
-    mdd = 0.295*exp,
-    mne = 1.49*exp,
-    mnd = 0.182*exp,
-    med = -0.975*exp)
+    mnn=2.34*exp,
+    mee=-2.64*exp,
+    mdd=0.295*exp,
+    mne=1.49*exp,
+    mnd=0.182*exp,
+    med=-0.975*exp)
 
 print(m)  # print moment tensor
 

examples/station_from_XML.py

@@ -8,4 +8,4 @@ get_example_data('responses.xml')
 sx = stationxml.load_xml(filename='responses.xml')
 
 # Extract Station objects from FDSNStationXML object
-pyrocko_stations = sx.get_pyrocko_stations()
+pyrocko_stations = sx.get_pyrocko_stations()

examples/topo_example.py

@@ -20,8 +20,8 @@ easts = easts.reshape((lats.size, lons.size))
 plt = plot.mpl_init(fontsize=10.)
 fig = plt.figure(figsize=plot.mpl_papersize('a5', 'landscape'))
 axes = fig.add_subplot(1, 1, 1, aspect=1.0)
-cbar  = axes.pcolormesh(easts, norths, tile.data,
-                        cmap='gray', shading='gouraud')
+cbar = axes.pcolormesh(easts, norths, tile.data,
+                       cmap='gray', shading='gouraud')
 fig.colorbar(cbar, label='Altitude [m]')
 axes.set_title(dem_name)
 axes.set_xlim(easts.min(), easts.max())