Commit a42b07f4 authored by Andreas Schmidt's avatar Andreas Schmidt
Browse files

Drop jitter.prep. Add xlim to box.

parent 42530eef
......@@ -28,21 +28,17 @@ def jitter_causes(df, durations, export=False, file_name=None):
print("Outliers:", len(outliers), ";", "Threshold[us]:", threshold)
def trace_jitter(data_frame, threshold=None, export=False, file_name=None):
def trace_jitter(data_frame, config=None, threshold=None, export=False, file_name=None):
Displays (and saves) a stacked boxplot of durations.
data_frame = data_frame[[x + "_D" for x in extract_durations(config)]]
if threshold is None:
threshold = get_outlier_threshold(data_frame["EndToEnd_D"].describe())
df_no_outliers = data_frame[data_frame["EndToEnd_D"] <= threshold]
box(df_no_outliers, export, file_name)
box(df_no_outliers, (0, threshold), export, file_name)
print("{} / {} are no outliers.".format(len(df_no_outliers), len(data_frame)))
fig = plt.gcf()
fig.canvas.set_window_title('Jitter Analysis')
def prep(df, config):
res = df[[x + "_D" for x in extract_durations(config)]] =
return res
......@@ -40,7 +40,7 @@ def extract_durations(config):
return ["EndToEnd", "Sender"] + durations_send + ["Receiver"] + durations_recv
def box(data_frame, export=False, file_name=None):
def box(data_frame, xlim=None, export=False, file_name=None):
Display a boxplot for the durations contained in data_frame.
:param data_frame:
......@@ -52,6 +52,8 @@ def box(data_frame, export=False, file_name=None):
fig = ax.get_figure()
ax.set_yticklabels(list(map(lambda x: x.get_text().replace("_D", ""), ax.get_yticklabels())))
plt.xlabel("Time [us]")
if xlim is not None:
fig.set_size_inches(8, 4.5, forward=True)
if export and file_name is not None:
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