Edit maxwell_integrate_to_h5.py

maxwell_integrate_to_h5.py

@@ -188,9 +188,9 @@ def integrate_ims_in_dir(path_im, path_int, dtype_im=".tif", dtype_int=".dat"):
             results_df = results_df.sort_values(by="filename", key=lambda col: col.str.lower())
             results_metadata_df = results_metadata_df.sort_values(by="filename", key=lambda col: col.str.lower())
             
-            for key in results_metadata_df.columns
+            for key in results_metadata_df.columns:
                 if key not in results_df.columns:
-                    results_df[key] = results_metadata_df[key].value
+                    results_df[key] = results_metadata_df[key].values
                     
             subdir_name = os.path.basename(os.path.normpath(subdir_path_int))
             results_df.to_csv(os.path.join(subdir_path_int, f"{subdir_name}.csv"), index=False)
@@ -252,15 +252,15 @@ def integrate_ims_in_dir(path_im, path_int, dtype_im=".tif", dtype_int=".dat"):
                     image_sequence_number = results_metadata[idx-1].get("imageSequenceNumber", "").strip()
 
                     if width.isdigit():
-                        detector.create_dataset("pixels width", data=np.asarray(int(width), dtype=np.int64))
+                        detector.create_dataset("pixels width", data=np.asarray([int(width)], dtype=np.int64))
                     if height.isdigit():
-                        detector.create_dataset("pixels height", data=np.asarray(int(height), dtype=np.int64))
+                        detector.create_dataset("pixels height", data=np.asarray([int(height)], dtype=np.int64))
                     if exposure_time.isdigit():
-                        detector.create_dataset("exposure time", data=np.asarray(int(exposure_time), dtype=np.int64))
+                        detector.create_dataset("exposure time", data=np.asarray([int(exposure_time)], dtype=np.int64))
                     if summed_exposures.replace('.', '', 1).isdigit():
-                        detector.create_dataset("summed exposures", data=np.asarray(float(summed_exposures), dtype=np.float64))
+                        detector.create_dataset("summed exposures", data=np.asarray([float(summed_exposures)], dtype=np.float64))
                     if image_sequence_number.isdigit():
-                        detector.create_dataset("image sequence number", data=np.asarray(int(image_sequence_number), dtype=np.int64))
+                        detector.create_dataset("image sequence number", data=np.asarray([int(image_sequence_number)], dtype=np.int64))
 
                     # Add interpretation info (optional for PyMca)
                     detector["I"].attrs["interpretation"] = "spectrum"