bananas.py

@@ -1,7 +1,24 @@
 #! /usr/bin/python3
 
 import argparse
+import numpy as np
+import pandas as pd
 
+
+class Banana():
+
+    def read_from_file(self, filepath):
+        d={'clock':[], 'sl':[], 'channel':[], 'dtime':[], 'lost':[], 'a':[], 'b':[], 'phase':[], 'banana':[], 'pha':[]} # slice (sl) is called det in ahepamfile.c
+        keys = list(d.keys())
+        print(keys)
+        with open(filepath) as file:
+            for line in file:
+                contents = line.split(" ")
+                if contents[0] == "ED":
+                    for i in range(10):
+                        d[keys[i]].append(contents[i+1])
+            return pd.DataFrame(d)
+       
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(
         prog='bananas.py',

seth_classes.py

@@ -1,20 +0,0 @@
-#! /usr/bin/python3
-
-import numpy as np
-import pandas as pd
-
-
-class Banana():
-
-    def read_from_file(self, filepath):
-        d={'clock':[], 'sl':[], 'channel':[], 'dtime':[], 'lost':[], 'a':[], 'b':[], 'phase':[], 'banana':[], 'pha':[]} # slice (sl) is called det in ahepamfile.c
-        keys = list(d.keys())
-        print(keys)
-        with open(filepath) as file:
-            for line in file:
-                contents = line.split(" ")
-                if contents[0] == "ED":
-                    for i in range(10):
-                        d[keys[i]].append(contents[i+1])
-            return pd.DataFrame(d)
-