Update autoreduce/reduce_HB2C.py

autoreduce/reduce_HB2C.py

@@ -37,6 +37,7 @@ else:  # Single Crystal
     import matplotlib as mpl
     mpl.use("agg")
     import matplotlib.pyplot as plt
+    from matplotlib.image import imsave
     import numpy as np
     with h5py.File(filename, 'r') as f:
         offset = f['/entry/DASlogs/HB2C:Mot:s2.RBV/average_value'].value[0]
@@ -56,17 +57,20 @@ else:  # Single Crystal
     vanadium = np.load('/HFIR/HB2C/shared/autoreduce/vanadium_101567.npy')
     vanadium_mon = 163519902
     bc = bc / vanadium * vanadium_mon / mon
-    f, (ax1, ax2) = plt.subplots(2, figsize=(8, 4))
+    """
+    f, (ax2) = plt.subplots(1, figsize=(8, 3))
     ax1.set_title(u'{}, {}, s2={:.2f}, duration={:.1f}s'.format(title, output_file, offset, duration))
     ax1.plot(np.linspace(offset, 120+offset, 960), bc.sum(1)[::-1])
     ax1.set_xlim(offset, 120+offset)
     plt.setp(ax1.get_xticklabels(), visible=False)
-    im = ax2.imshow(bc.T[::-1, ::-1], cmap='viridis', aspect=1/7.5, extent=(offset, 120+offset, 0, 128))
+    im = ax2.imshow(bc.T[:, ::-1], cmap='viridis', aspect=1/7.5, extent=(offset, 120+offset, 0, 128))
     ax2.set_xlabel(u'2theta')
-    ax2.set_xlim(offset, 120+offset)
+    ax2.set_xlim(120+offset, offset)
     ax2.set_ylim(0, 128)
     ax2.get_yaxis().set_visible(False)
     cb = f.colorbar(im)
     ax2.set_aspect('auto')
     f.tight_layout()
     plt.savefig(outdir+output_file)
+    """
+    imsave(outdir+output_file, bc.T, cmap='viridis')