view: convert integer to floating to enable masking with nan (#1289)

+ view.viewer.plot(): convert integer to floating to enable masking with nan for one subplot scenario
insarlab · Nov 11, 2024 · 718027c · 718027c
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commit 718027c
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diff --git a/src/mintpy/utils/readfile.py b/src/mintpy/utils/readfile.py
@@ -699,7 +699,7 @@ def read_binary_file(fname, datasetName=None, box=None, xstep=1, ystep=1):
             cpx_band = 'magnitude'
 
         elif fext in ['.mli', '.rmli']:
-            byte_order = 'little-endian'
+            byte_order = 'little-endian'   # big-endian
 
     # SNAP
     # BEAM-DIMAP data format

diff --git a/src/mintpy/view.py b/src/mintpy/view.py
@@ -1652,9 +1652,15 @@ def plot(self):
             no_data_val = readfile.get_no_data_value(self.file)
             if self.no_data_value is not None:
                 vprint(f'masking pixels with NO_DATA_VALUE of {self.no_data_value}')
+                # convert integer to floating to enable masking with nan
+                if np.issubdtype(data.dtype, np.integer):
+                    data = np.array(data, np.float32)
                 data[data == self.no_data_value] = np.nan
             elif no_data_val is not None and not np.isnan(no_data_val):
                 vprint(f'masking pixels with NO_DATA_VALUE of {no_data_val}')
+                # convert integer to floating to enable masking with nan
+                if np.issubdtype(data.dtype, np.integer):
+                    data = np.array(data, np.float32)
                 data[data == no_data_val] = np.nan
 
             # update/save mask info