Merge timing.

plot_single_transmission_paper.py

             dtype=dict(is_retranmission=bool, is_dup_ack=bool),
         )
 
-        transmission_df["datetime"] = pd.to_datetime(
-            transmission_df["datetime"]
-        ) - pd.Timedelta(hours=1)
-        transmission_df = transmission_df.set_index("datetime")
         transmission_df.index = pd.to_datetime(transmission_df.index)
         transmission_df = transmission_df.sort_index()
 
         serial_df = pd.read_csv(
             args.serial_file, converters={"Cell_ID": convert_cellid}
         )
-        serial_df["datetime"] = pd.to_datetime(serial_df["datetime"]) - pd.Timedelta(
-            hours=1
-        )
         serial_df = serial_df.set_index("datetime")
         serial_df.index = pd.to_datetime(serial_df.index)
         serial_df.sort_index()
 
-        # print(serial_df["Cell_ID"])
-
-        # serial_df["Cell_ID"] = serial_df["Cell_ID"].apply(
-        #    lambda x: int(x.split(" ")[-1].replace("(", "").replace(")", "")))
-
         transmission_df = pd.merge_asof(
             transmission_df,
             serial_df,
-            tolerance=pd.Timedelta("1ms"),
+            tolerance=pd.Timedelta("1milliseconds"),
             right_index=True,
             left_index=True,
         )