From b7e18a71519767bf07bd9451387c10f7ff9b0651 Mon Sep 17 00:00:00 2001
From: amirmoghi3 <siramirmoghi3@gmail.com>
Date: Thu, 10 Dec 2020 02:35:01 +0330
Subject: [PATCH] eculidean done

---
 .gitignore   |   1 +
 dataset2.xls | Bin 76800 -> 76800 bytes
 exec.py      |  27 ++++++++++++++++++++++++++-
 3 files changed, 27 insertions(+), 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index b971d29..32378b8 100644
--- a/.gitignore
+++ b/.gitignore
@@ -8,6 +8,7 @@ __pycache__/
 *.py[cod]
 .history
 *$py.class
+eculidean.*
 
 # C extensions
 *.so
diff --git a/dataset2.xls b/dataset2.xls
index c77bf813ca222278ff2b50df87425ddebe355227..57175ea6732acf67d667f955c4700f4ea58053f6 100644
GIT binary patch
delta 25
fcmZp;!O{RkTNrb-*mp}GEjxFOaeIjtV-F($j5`V?

delta 22
ccmZp;!O{RkTNrb-rtf2AWZzz*#n{6L0A|hy$^ZZW

diff --git a/exec.py b/exec.py
index 3d31811..7a70819 100644
--- a/exec.py
+++ b/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")