cleaning 2

helper_functions/plotly_cluster_check.py

@@ -235,10 +235,3 @@ def plot_merged(cat_path):
 
     fig.show()
 
-if __name__ == '__main__':
-
-    plotly_3d('/media/peter/7739547D1B1A00DA/greece_clusty/clusty_rundir/compare_freq_results/results/merged_freqs.yaml',
-      '/media/peter/7739547D1B1A00DA/greece_clusty/clusty_rundir/compare_freq_results/used_stations.pf')
-
-    plot_merged('/media/peter/7739547D1B1A00DA/greece_clusty/clusty_rundir/compare_freq_results/results/merged_freqs.yaml')
-    plot_merged('/media/peter/7739547D1B1A00DA/greece_clusty/clusty_rundir/compare_freq_results/results/merged_freqs2.yaml')

src/cc.py

@@ -1301,9 +1301,9 @@ def get_similarity_matrix(comp, station_list, catalog, cc_settings, waveform_dir
             title = './results/cc_%s.%s_%s' % (st.network, st.station, comp_base)
             small_imshow_plot(coef_array[i_st], catalog, title, cbarlabel='cc', 
                               fig_name=title+'.png', scale=[0,1])
-        logger.info('Station: %s:::%.2f' % (st.station,time.time()))
+        # logger.info('Station: %s:::%.2f' % (st.station,time.time()))
 
     num.save(arr=coef_array, file='./precalc_arrays/cccoef_array_%s' % comp_base)
     num.save(arr=weights_array, file='./precalc_arrays/ccweights_array_%s' % comp_base)
     num.save(arr=tshifts_array, file='./precalc_arrays/cctshifts_array_%s' % comp_base)
-    logger.info('Finished Processing component %s:::%.2f' % (comp_base,time.time()))
+    # logger.info('Finished Processing component %s:::%.2f' % (comp_base,time.time()))

src/clustering.py

@@ -826,7 +826,6 @@ def wf_cluster_plot(resultcat, subset_stations_and_indices, waveform_dir, arriva
                                 want_incomplete=True, degap=True, maxgap=10, 
                                 trace_selector=lambda tr: tr.station == st.station and
                                 tr.channel.endswith('Z'))[0]
-                        print('tr Z found', tr_Z)
                     if 'N' in test_comps:
                         tr_N = p.all(tmin=arr-cc_cnf.filtertmin, tmax=arr+cc_cnf.filtertmax,
                                 want_incomplete=True, degap=True, maxgap=10, 
@@ -878,7 +877,7 @@ def wf_cluster_plot(resultcat, subset_stations_and_indices, waveform_dir, arriva
                     try:
                         if 'Z' in test_comps:
                             tr_Z.chop(tmin=arr - t_buffer, tmax=arr + twd[1]+t_buffer)
-                            logger.info('first chop %s %s %s ' % (tr_Z.tmin, tr_Z.tmax, len(tr_Z.ydata)))
+                            logger.debug('first chop %s %s %s ' % (tr_Z.tmin, tr_Z.tmax, len(tr_Z.ydata)))
                         if 'N' in test_comps:
                             tr_N.chop(tmin=arr - t_buffer, tmax=arr + twd[1]+t_buffer)
                         if 'E' in test_comps:
@@ -1270,7 +1269,6 @@ def wf_cluster_snuffle(resultcat, subset_stations_and_indices, waveform_dir, arr
                         tr_Z = p.all(tmin=arr-cc_cnf.filtertmin, tmax=arr+cc_cnf.filtertmax,
                                 trace_selector=lambda tr: tr.station == st.station and
                                 tr.channel.endswith('Z'))[0]
-                        print('tr Z found', tr_Z)
                     if 'N' in test_comps:
                         tr_N = p.all(tmin=arr-cc_cnf.filtertmin, tmax=arr+cc_cnf.filtertmax,
                                 trace_selector=lambda tr: tr.station == st.station and
@@ -1320,7 +1318,7 @@ def wf_cluster_snuffle(resultcat, subset_stations_and_indices, waveform_dir, arr
                     try:
                         if 'Z' in test_comps:
                             tr_Z.chop(tmin=arr - t_buffer, tmax=arr + twd[1]+t_buffer)
-                            logger.info('first chop %s %s %s ' % (tr_Z.tmin, tr_Z.tmax, len(tr_Z.ydata)))
+                            logger.debug('first chop %s %s %s ' % (tr_Z.tmin, tr_Z.tmax, len(tr_Z.ydata)))
                         if 'N' in test_comps:
                             tr_N.chop(tmin=arr - t_buffer, tmax=arr + twd[1]+t_buffer)
                         if 'E' in test_comps:

src/clusty.py

@@ -543,7 +543,7 @@ def main():
         n_ev = len(cat)
         network_similarity =num.empty((n_comp,n_ev, n_ev))
         n_used_stats = num.empty((n_comp,n_ev, n_ev))
-        logger.info('NETSIM allocation:::%.2f' % time.time())
+        # logger.info('NETSIM allocation:::%.2f' % time.time())
         
         for i_comp, comp in enumerate(cc_cnf.components):
             comp_base = comp[-1]