Added analyzing

analyze.py

@@ -0,0 +1,46 @@
+import csv
+
+
+def v1():
+    column_timeouts = None
+    column_count = 0
+    column_counts = None
+    column_sums = None
+
+    row_count = 0
+
+    with open('data/all.csv', 'r') as f:
+        reader = csv.reader(f)
+
+        column_count = len(next(reader))
+        f.seek(0)
+
+        column_timeouts = [0 for _ in range(column_count)]
+        column_counts = [0 for _ in range(column_count)]
+        column_sums = [0.0 for _ in range(column_count)]
+
+        for row in reader:
+            row_count += 1
+            for i, ping in enumerate(row):
+                ping = float(ping)
+                if ping == -1:
+                    column_timeouts[i] += 1
+                else:
+                    column_counts[i] += 1
+                    column_sums[i] += ping
+
+    print(f'Rows: {row_count}')
+    print(f'Columns: {column_count}')
+
+    for i in range(column_count):
+        ctimeout = column_timeouts[i]
+        ccounts = column_counts[i]
+        csum = column_sums[i]
+
+        print(f'Column {i}')
+        print(f'\tTimeouts: {round(ctimeout / row_count * 100, 2)}% ({ctimeout} of {row_count} requests)')
+        print(f'\tAverage ping: {round(csum / ccounts, 4)} ({ccounts} of {row_count} requests)')
+
+
+if __name__ == '__main__':
+    v1()