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records2.py

+with open ('Sample.csv', 'r') as f:
+    for line in f:
+        line = line.strip()
+        row = line.split(',')
+        print(row) 
+from tabulate import tabulate
+
+import csv
+
+myrows=[]
+records=[]
+with open('Sample.csv','r') as f:
+    r = csv.DictReader(f)
+    for row in r:
+        records.append(row)
+    print(records)
+    
+    
+from collections import OrderedDict
+def select_cols(records, columns):
+
+    new_records  = []
+    for record in records:
+        new_record = OrderedDict()
+        for c in columns:
+             new_record[c] = record[c]
+        new_records.append(new_record)
+  
+
+    return new_records
+
+select_cols(records,['Names','CGPA'])
+
+        
+def print_records_fancy(records):
+    xyz = list(records[0].keys())    
+    recs = []
+    for record in records:
+        recs.append(list(record.values()))
+    print(tabulate(recs, headers=xyz))        
+    
+    
+student = select_cols(records, ['Names', 'CGPA'])
+print_records_fancy(student)
+def check_constraints(record, constraints):
+    all_okay = True
+    for col, cs in constraints.items():
+        csop = cs[0]
+        csval = cs[1]
+        
+        if csop in ['EQ','GT','LT']:
+            if csop == 'EQ' and record[col] != csval:
+                return False
+            elif csop == 'GT' and float(record[col]) <= float(csval):
+                return False
+            elif csop == 'LT' and float(record[col]) >= float(csval):
+                return False
+            
+        else:
+            return False
+    return all_okay
+
+        
+def filter_records(columns=[], constraints={}):
+    f_records = []
+    if len(columns) == 0:
+        columns = list(records[0].keys())
+    for record in records:
+        new_record = OrderedDict()
+        if check_constraints(record, constraints):
+            for col in columns:
+                new_record[col] = record[col]
+            f_records.append(new_record)
+    return f_records
+
+
+def len_records(records):
+    rec_len = len(records)
+    return [OrderedDict({'Length': rec_len})]
+
+def print_records(records):
+    headers = list(records[0].keys())
+    print("\t".join(headers))
+    for record in records:
+        print("\t".join(list(record.values())))
+
+def print_records_fancy(records):
+    headers = list(records[0].keys())    
+    recs = []
+    for record in records:
+        recs.append(list(record.values()))
+    print(tabulate(recs, headers=headers))  
+    
+    
+print_records_fancy(filter_records( constraints={'College': ['EQ', 'CMREC']}) )
+def sum_records(records, columns):
+    sums = OrderedDict()
+    for col in columns:
+        sums[col] = 0
+    
+    for record in records:
+        for col in columns:
+            sums[col] += float(record[col])
+    
+    return [sums]