eculidean done

.gitignore

@@ -8,6 +8,7 @@ __pycache__/
 *.py[cod]
 .history
 *$py.class
+eculidean.*
 
 # C extensions
 *.so

exec.py

@@ -1,6 +1,31 @@
 import pandas as pd
+import xlsxwriter
+
+
+def exulidean(row1, row2):
+    s = 0
+    for p, q in zip(row1, row2):
+        s += ((p - q) ** 2) ** 0.5  # 421.30
+    return s
+
+
+def matrixToxls(matrix, filename):
+    workbook = xlsxwriter.Workbook(filename)
+    worksheet = workbook.add_worksheet()
+    row = 0
+    for col, data in enumerate(matrix):
+        worksheet.write_column(row, col, data)
+    workbook.close()
+
+
+resultEculidean = []
 
 if __name__ == "__main__":
     df = pd.read_excel('dataset2.xls', sheet_name="forestfires").to_numpy()
     for row in df:
-        print(row)
+        tmp = []
+        for row2 in df:
+            # [12312,3123,21321,3543,667,313,21,4,346,54,745,6........]
+            tmp.append(exulidean(row, row2))
+        resultEculidean.append(tmp)
+    matrixToxls(resultEculidean, "eculidean.xls")