Read_csv function and printing messages

analysis/workflow1.py

@@ -1,44 +1,46 @@
 from math import *
-
+import pandas as pd
 # read sample files
 
-with open('data1.csv') as file1:
-    lines1 = file1.readlines()
-    data1 = []
-    for line in lines1:
-        row = []
-        for n in line.split(','):
-            row.append(float(n.strip()))
-        data1.append(row)
+# with open('data1.csv') as file1:
+#     lines1 = file1.readlines()
+#     data1 = []
+#     for line in lines1:
+#         row = []
+#         for n in line.split(','):
+#             row.append(float(n.strip()))
+#         data1.append(row)
+
+data1=pd.read_csv('data1',header=None,sep=' ')
+data2=pd.read_csv('data2',header=None,sep=' ')
+weight=pd.read_csv('weights',header=None,sep=' ')
 
-with open('data2.csv') as file2:
-    lines2 = file2.readlines()
-    data2 = []
-    for line in lines2:
-        row = []
-        for n in line.split(','):
-            row.append(float(n.strip()))
-        data2.append(row)
+# with open('data2.csv') as file2:
+#     lines2 = file2.readlines()
+#     data2 = []
+#     for line in lines2:
+#         row = []
+#         for n in line.split(','):
+#             row.append(float(n.strip()))
+#         data2.append(row)
 
-with open('weights.csv') as filew:
-    linew = filew.read()
-    w = []
-    for n in linew.split(','):
-        w.append(float(n.strip()))
+# with open('weights.csv') as filew:
+#     linew = filew.read()
+#     w = []
+#     for n in linew.split(','):
+#         w.append(float(n.strip()))
 
 results = []
 for i in range(len(data1)):
     s = 0
-    for j in range(len(w)):
+    for j in range(len(weight)):
         d = data1[i][j] - data2[i][j]
-        s += w[j] * abs(d)
+        s += weight[j] * abs(d)
     results.append(s)
 
 critical = 0
 for i in range(len(results)):  # for all i
     if results[i] > 5:
         critical = critical + 1  # increase by 1
-if critical == 1:
-    print("criticality: 1 result above 5")
-else:
-    print("criticality:", critical, "results above 5")
+
+print("criticality:", critical, "results above 5")