work on import data in results

src/View/Results/Window.py

@@ -337,7 +337,8 @@ class ResultsWindow(PamhyrWindow):
             "action_add": self._add_custom_plot,
             "action_export": self._export,
             # "action_export": self.export_current,
-            "action_Geo_tiff": self.import_geotiff
+            "action_Geo_tiff": self.import_geotiff,
+            "action_import_data": self.import_data
         }
         self.find(QAction, "action_Geo_tiff").setEnabled(False)
         self.find(QAction, "action_Geo_tiff").setVisible(False)
@@ -703,7 +704,7 @@ class ResultsWindow(PamhyrWindow):
             select_file="AnyFile",
             callback=lambda f: self.export_to(f[0], x, y, envelop, solver_id),
             default_suffix=".csv",
-            file_filter=["CSV (*.csv)"],
+            file_filter=[self._dict["file_csv"]],
         )
 
     def export_to(self, filename, x, y, envelop, solver_id):
@@ -1214,3 +1215,34 @@ class ResultsWindow(PamhyrWindow):
 #                self.canvas.axes.set_xlim(xlim)
 #                self.canvas.axes.set_ylim(ylim)
         return
+
+    def import_data(self):
+
+        file_types = [
+            self._trad["file_csv"],
+            self._trad["file_all"],
+        ]
+
+        self.file_dialog(
+            select_file="Existing_file",
+            callback=lambda f: self.read_csv_file(f[0]),
+            default_suffix=".csv",
+            file_filter=file_types,
+        )
+
+    def read_csv_file(self, filename):
+        with open(filename, 'r', newline='') as f:
+            lines=f.readlines()
+            x = []
+            y = []
+            for line in lines:
+                if line[0] != "*" and line[0] != "#" and line[0] != "$":
+                    row = line.split(" ")
+                    print(row)
+                    if len(row) > 1:
+                        x.append(float(row[0]))
+                        y.append(float(row[1]))
+        print(x)
+        print(y)
+        self.canvas_2.axes.scatter(x, y, marker="+")
+        self.plot_rkc.idle()