langspielplatte/measurement-scripts
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Memory management

Browse Source
This commit is contained in:
langspielplatte
2023-03-01 09:03:34 +01:00
parent b2fa7f38be
commit a5d837f865
1 changed files with 14 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files

20
cdf_compare.py
View File

@@ -19,7 +19,7 @@ def csv_to_dataframe(csv_list, folder, dummy):
global n global n
global frame_list global frame_list
transmission_df = None tmp_df = None
for csv in csv_list: for csv in csv_list:
tmp_df = pd.read_csv( tmp_df = pd.read_csv(
@@ -29,14 +29,17 @@ def csv_to_dataframe(csv_list, folder, dummy):
tmp_df["datetime"] = pd.to_datetime(tmp_df["datetime"]) - pd.Timedelta(hours=1) tmp_df["datetime"] = pd.to_datetime(tmp_df["datetime"]) - pd.Timedelta(hours=1)
tmp_df = tmp_df.set_index("datetime") tmp_df = tmp_df.set_index("datetime")
tmp_df.index = pd.to_datetime(tmp_df.index) tmp_df.index = pd.to_datetime(tmp_df.index)
if transmission_df is None: if tmp_df is None:
transmission_df = tmp_df tmp_df = tmp_df
else: else:
transmission_df = pd.concat([transmission_df, tmp_df]) tmp_df = pd.concat([tmp_df, tmp_df])
n.value += 1 n.value += 1
frame_list.append(transmission_df) tmp_df = tmp_df.filter(
["srtt", "datetime", "srtt", "payload_size", "congestion_control", "direction"])
frame_list.append(tmp_df)
del tmp_df
from itertools import islice from itertools import islice
@@ -146,7 +149,9 @@ if __name__ == "__main__":
frame_list = None frame_list = None
transmission_df = transmission_df.sort_index() transmission_df = transmission_df.sort_index()
print("Calculate goodput...") #
# Don't forget to add new columns to the filter argument in the function above!
#
transmission_df["srtt"] = transmission_df["srtt"].apply(lambda x: x / 10 ** 6) transmission_df["srtt"] = transmission_df["srtt"].apply(lambda x: x / 10 ** 6)
@@ -166,6 +171,9 @@ if __name__ == "__main__":
cc_algo = cc_algo.upper() cc_algo = cc_algo.upper()
transmission_direction = transmission_df["direction"].iloc[0] transmission_direction = transmission_df["direction"].iloc[0]
transmission_df = transmission_df.filter(["srtt", "datetime", "srtt", "payload_size"])
# read serial csv # read serial csv
#serial_df = pd.read_csv(args.serial_file) #serial_df = pd.read_csv(args.serial_file)
#serial_df["datetime"] = pd.to_datetime(serial_df["datetime"]) - pd.Timedelta(hours=1) #serial_df["datetime"] = pd.to_datetime(serial_df["datetime"]) - pd.Timedelta(hours=1)