corr Py line lengths

Examples/Python/fit54_ExternalMinimizer/lmfit_with_plotting.py

@@ -103,7 +103,8 @@ def run_fitting():
     params.add('length', value=10*nm, min=8*nm, max=14*nm)
 
     plotter = Plotter(fit_objective)
-    result = lmfit.minimize(fit_objective.evaluate_residuals, params, iter_cb=plotter)
+    result = lmfit.minimize(
+        fit_objective.evaluate_residuals, params, iter_cb=plotter)
     fit_objective.finalize(result)
 
     result.params.pretty_print()

Examples/Python/fit61_Galaxi/fit_galaxi_data.py

@@ -37,7 +37,7 @@ def create_simulation(params):
     simulation.setBeamParameters(wavelength, alpha_i, 0.0)
     simulation.setBeamIntensity(1.2e7)
     simulation.setRegionOfInterest(85.0, 70.0, 120.0, 92.)
-    simulation.addMask(ba.Rectangle(101.9, 82.1, 103.7, 85.2), True)  # mask on reflected beam
+    simulation.addMask(ba.Rectangle(101.9, 82.1, 103.7, 85.2), True)  # beamstop
 
     sample_builder = SampleBuilder()
     sample = sample_builder.create_sample(params)

Examples/Python/utils/plot_intensity_data_diff.py

 #!/usr/bin/env python3
 '''
 Plots intensity data difference stored in BornAgain "*.int" or "*.int.gz" format
-Usage: python plot_intensity_data_diff.py intensity_reference.int.gz intensity_other.int.gz
+Usage: python plot_intensity_data_diff.py reference.int.gz new.int.gz
 '''
 
 import numpy as np
@@ -20,8 +20,10 @@ def plot_intensity_data_diff(filename1, filename2):
     rank = intensity_ref.rank()
     if rank == 2:
         pid.plot_raw_data_2d(data,
-                             [intensity_ref.getXmin() / ba.deg, intensity_ref.getXmax() / ba.deg,
-                              intensity_ref.getYmin() / ba.deg, intensity_ref.getYmax() / ba.deg],
+                             [intensity_ref.getXmin() / ba.deg,
+                              intensity_ref.getXmax() / ba.deg,
+                              intensity_ref.getYmin() / ba.deg,
+                              intensity_ref.getYmax() / ba.deg],
                              data.max())
     elif rank == 1:
         axis_values = np.asarray(intensity_ref.xAxis().binCenters()) / ba.deg

Examples/Python/utils/show2d.py

@@ -27,7 +27,7 @@ def PlotNumpyArray(a, zmin = 1, zmax = None):
     plt.xlabel(r'$\phi_f$', fontsize=20)
     plt.ylabel(r'$\alpha_f$', fontsize=20)
     # Use one of the predefined colormaps or the above defined 'blue_cmap':
-    im=plt.imshow(dataarray, norm=LogNorm(), vmax=zmax, cmap=cm.jet) #, interpolation='none')
+    im=plt.imshow(dataarray, norm=LogNorm(), vmax=zmax, cmap=cm.jet)
     plt.gca().axes.get_xaxis().set_ticks([])
     plt.gca().axes.get_yaxis().set_ticks([])
     plt.colorbar(im)