Fix bug in segment line cross section computation for masked images

Author: PierreRaybaut

CHANGELOG.md

@@ -1,5 +1,13 @@
 # Changelog #
 
+## Version 2.5.2 ##
+
+🛠️ Bug fixes:
+
+* Fixed segment line cross section computation for masked images:
+  * Avoided warning message when encountering masked values in the image data
+  * Replacing masked values by NaNs when computing the segment line cross section (as before, but explicitely, to avoid the warning message)
+
 ## Version 2.5.1 ##
 
 ℹ️ Release V2.5.0 was a fugitive release that was replaced by V2.5.1 due to packaging issues.

plotpy/panels/csection/csitem.py

@@ -477,11 +477,11 @@ def compute_line_section(
     row0, row1 = min(row0, row1), max(row0, row1)
     col0, col1 = min(col0, col1), max(col0, col1)
     # Extract the line
-    line = np.zeros((2, max(abs(row1 - row0), abs(col1 - col0)) + 1), dtype=np.float64)
-    line[0, :] = np.linspace(row0, row1, line.shape[1])
-    line[1, :] = np.linspace(col0, col1, line.shape[1])
+    line = np.zeros((2, max(abs(row1 - row0), abs(col1 - col0)) + 1), dtype=int)
+    line[0, :] = np.linspace(row0, row1, line.shape[1]).astype(int)
+    line[1, :] = np.linspace(col0, col1, line.shape[1]).astype(int)
     # Interpolate the line
-    y = np.array([data[int(r), int(c)] for r, c in line.T])
+    y = np.ma.array(data[line[0], line[1]]).filled(np.nan)
     x = np.arange(y.size)
     return x, y