Update tem.txt

tem.txt

@@ -1,35 +1,39 @@
-import numpy as np
+from openpyxl import load_workbook
+from openpyxl.drawing.image import Image
 
-def calculate_endpoint(A_start, A_end, B, angle_deg):
-    # Calculate vector representing line A
-    vec_A = np.array(A_end) - np.array(A_start)
-    
-    # Calculate length of line A
-    length_A = np.linalg.norm(vec_A)
-    
-    # Calculate unit vector of line A
-    unit_vec_A = vec_A / length_A
-    
-    # Convert angle from degrees to radians
-    angle_rad = np.deg2rad(angle_deg)
-    
-    # Calculate rotation matrix for 30-degree angle
-    rotation_matrix = np.array([[np.cos(angle_rad), -np.sin(angle_rad)],
-                                 [np.sin(angle_rad), np.cos(angle_rad)]])
-    
-    # Rotate unit vector of line A by 30 degrees
-    rotated_unit_vec_A = np.dot(rotation_matrix, unit_vec_A)
-    
-    # Scale rotated unit vector by length of line A and add to point B to get endpoint coordinates
-    endpoint = np.array(B) + length_A * rotated_unit_vec_A
-    
-    return endpoint
+def read_images_from_excel(file_path, filter_column):
+    # Load the workbook
+    wb = load_workbook(filename=file_path)
 
-# Example usage
-A_start = (0, 0)
-A_end = (3, 4)
-B = (1, 1)
-angle_deg = 30
+    # Iterate through each sheet in the workbook
+    for sheet_name in wb.sheetnames:
+        sheet = wb[sheet_name]
 
-endpoint = calculate_endpoint(A_start, A_end, B, angle_deg)
-print("Coordinates of the endpoint:", endpoint)
+        # Find the column index of the filter column
+        filter_column_index = None
+        for col in range(1, sheet.max_column + 1):
+            if sheet.cell(row=1, column=col).value == filter_column:
+                filter_column_index = col
+                break
+
+        if filter_column_index is None:
+            print(f"Filter column '{filter_column}' not found in sheet '{sheet_name}'")
+            continue
+
+        # Iterate through each row in the sheet
+        for row in range(2, sheet.max_row + 1):
+            # Check if the filter condition is met
+            if sheet.cell(row=row, column=filter_column_index).value == "your_filter_value":
+                # Iterate through each image in the row
+                for image in sheet._images:
+                    # Check if the image is in the same row as the filter condition
+                    if image.anchor._from.row == row:
+                        # Get the image data
+                        img_data = image.image
+
+                        # You can process the image data here
+                        # For example, you can save the image to a file
+                        img_data.save(f"{sheet_name}_{row}_{image.anchor._from.col}.png")
+
+# Example usage:
+read_images_from_excel("example.xlsx", "Column F")