tsview: update to the latest timeseries2velocity (insarlab#798)

+ tsview:
   - update its model/time func usage to the latest timeseries2velocity/time_func
   - remove the unnecessary np.array() call while updating image array

+ load_data: align the long global variable names, for readability

mintpy/load_data.py

@@ -37,7 +37,7 @@
 # primary observation dataset names
 OBS_DSET_NAMES = ['unwrapPhase', 'rangeOffset', 'azimuthOffset']
 
-IFGRAM_DSET_NAME2TEMPLATE_KEY = {
+IFG_DSET_NAME2TEMPLATE_KEY = {
     'unwrapPhase'     : 'mintpy.load.unwFile',
     'coherence'       : 'mintpy.load.corFile',
     'connectComponent': 'mintpy.load.connCompFile',
@@ -51,15 +51,15 @@
     'connectComponent': 'mintpy.load.ionConnCompFile',
 }
 
-OFFSET_DSET_NAME2TEMPLATE_KEY = {
+OFF_DSET_NAME2TEMPLATE_KEY = {
     'azimuthOffset'   : 'mintpy.load.azOffFile',
     'azimuthOffsetStd': 'mintpy.load.azOffStdFile',
     'rangeOffset'     : 'mintpy.load.rgOffFile',
     'rangeOffsetStd'  : 'mintpy.load.rgOffStdFile',
     'offsetSNR'       : 'mintpy.load.offSnrFile',
 }
 
-GEOMETRY_DSET_NAME2TEMPLATE_KEY = {
+GEOM_DSET_NAME2TEMPLATE_KEY = {
     'height'          : 'mintpy.load.demFile',
     'latitude'        : 'mintpy.load.lookupYFile',
     'longitude'       : 'mintpy.load.lookupXFile',
@@ -903,9 +903,9 @@ def main(iargs=None):
 
     # geometry in geo / radar coordinates 
     geom_dset_name2template_key = {
-        **GEOMETRY_DSET_NAME2TEMPLATE_KEY,
-        **IFGRAM_DSET_NAME2TEMPLATE_KEY,
-        **OFFSET_DSET_NAME2TEMPLATE_KEY,
+        **GEOM_DSET_NAME2TEMPLATE_KEY,
+        **IFG_DSET_NAME2TEMPLATE_KEY,
+        **OFF_DSET_NAME2TEMPLATE_KEY,
     }
     geom_geo_obj, geom_radar_obj = read_inps_dict2geometry_dict_object(iDict, geom_dset_name2template_key)
     geom_geo_file = os.path.abspath('./inputs/geometryGeo.h5')
@@ -933,9 +933,9 @@ def main(iargs=None):
     # observations: ifgram, ion or offset
     # loop over obs stacks
     stack_ds_name2tmpl_key_list = [
-        IFGRAM_DSET_NAME2TEMPLATE_KEY,
+        IFG_DSET_NAME2TEMPLATE_KEY,
         ION_DSET_NAME2TEMPLATE_KEY,
-        OFFSET_DSET_NAME2TEMPLATE_KEY,
+        OFF_DSET_NAME2TEMPLATE_KEY,
     ]
     stack_files = ['ifgramStack.h5', 'ionStack.h5', 'offsetStack.h5']
     stack_files = [os.path.abspath(os.path.join('./inputs', x)) for x in stack_files]

mintpy/timeseries2velocity.py

@@ -4,6 +4,8 @@
 # Copyright (c) 2013, Zhang Yunjun, Heresh Fattahi         #
 # Author: Zhang Yunjun, Heresh Fattahi, Yuan-Kai Liu, 2013 #
 ############################################################
+# Recommend import:
+#   from mintpy import timeseries2velocity as ts2vel
 
 
 import os

mintpy/tsview.py

@@ -143,9 +143,6 @@ def cmd_line_parse(iargs=None):
     inps.colormap = inps.colormap if inps.colormap else 'jet'
     inps.fig_size = inps.fig_size if inps.fig_size else [8.0, 4.5]
 
-    # temporal model fitting, initialize the dicts of exp and log funcs
-    inps = ts2vel.init_exp_log_dicts(inps)
-
     # verbose print using --noverbose option
     global vprint
     vprint = print if inps.print_msg else lambda *args, **kwargs: None
@@ -350,7 +347,7 @@ def read_init_info(inps):
     inps.cbar_label += '[{}]'.format(inps.disp_unit_img)
 
     ## fit a suite of time func to the time series
-    inps.model, inps.num_param = ts2vel.read_inps2model(inps, date_list=inps.date_list, print_msg=inps.print_msg)
+    inps.model = time_func.inps2model(inps, date_list=inps.date_list, print_msg=inps.print_msg)
 
     # dense TS for plotting
     inps.date_list_fit = ptime.get_date_range(inps.date_list[0], inps.date_list[-1])
@@ -880,7 +877,7 @@ def update_time_slider(self, val):
         self.ax_img.set_title(sub_title, fontsize=self.font_size)
 
         # read/update 2D image data
-        data_img = np.array(self.ts_data[0][self.idx, :, :])
+        data_img = self.ts_data[0][self.idx, :, :]
         data_img[self.mask == 0] = np.nan
         if self.wrap:
             if self.disp_unit_img == 'radian':