+= allow to hide default durations

drone-notebook.ipynb

@@ -74,7 +74,7 @@
    "outputs": [],
    "source": [
     "from xlap.analyse.jitter import trace_jitter\n",
-    "trace_jitter(df_1, config,file_name=\"{}_trace_jitter.pdf\".format(protocol),export=True)"
+    "trace_jitter(df_1, config,file_name=\"{}_trace_jitter.pdf\".format(protocol),export=True, default_durations=False)"
    ]
   },
   {
 %% Cell type:markdown id: tags:
 
 # X-Lap in Action
 
 %% Cell type:code id: tags:
 
 ``` python
 %matplotlib inline
 ```
 
 %% Cell type:markdown id: tags:
 
 ## Data Retrieval
 
 %% Cell type:code id: tags:
 
 ``` python
 from xlap.parse import evaluate, parse_config
 config = parse_config("drone/xlap.yml")
 protocol = "python"
 data_files = {
     "sender": "drone/{}-bridge/sender.csv".format(protocol),
     "receiver": "drone/{}-bridge/receiver.csv".format(protocol)
 }
 df_1 = evaluate(data_files["sender"], data_files["receiver"], config=config, kind=0)
 df_1.name = ""
 dfs = [df_1]
 ```
 
 %% Cell type:markdown id: tags:
 
 ## Individual Packet Traces
 
 %% Cell type:code id: tags:
 
 ``` python
 from xlap.analyse.trace import traces
 traces(df_1, config, global_xaxis=True)
 ```
 
 %% Cell type:markdown id: tags:
 
 ## Trace Jitter Analysis
 
 %% Cell type:code id: tags:
 
 ``` python
 from xlap.analyse.jitter import trace_jitter
-trace_jitter(df_1, config,file_name="{}_trace_jitter.pdf".format(protocol),export=True)
+trace_jitter(df_1, config,file_name="{}_trace_jitter.pdf".format(protocol),export=True, default_durations=False)
 ```
 
 %% Cell type:markdown id: tags:
 
 ## Latency Distributions
 
 %% Cell type:code id: tags:
 
 ``` python
 from xlap.analyse.cdf import multi_cdf
 from xlap.analyse.util import colors
 import copy
 cfg = copy.deepcopy(config)
 
 multi_cdf(dfs, cfg, colors=colors)
 ```
 
 %% Cell type:markdown id: tags:
 
 ## Correlation with E2E Latency
 
 %% Cell type:code id: tags:
 
 ``` python
 from xlap.analyse.correlation import multi_correlation
 multi_correlation(dfs, config, colors=colors, figsize=(3.0,2.0), cols=4)
 ```

xlap/analyse/jitter.py

@@ -29,11 +29,11 @@ def jitter_causes(df, config, export=False, file_name=None, figsize=(8,3), color
         fig.savefig(file_name)
     print("Outliers:", len(outliers), ";", "Threshold[us]:", threshold)
 
-def trace_jitter(data_frame, config=None, threshold=None, export=False, file_name=None, figsize=(8, 4.5)):
+def trace_jitter(data_frame, config=None, threshold=None, export=False, file_name=None, figsize=(8, 4.5), default_durations=True):
     """
     Displays (and saves) a stacked boxplot of durations.
     """
-    data_frame = data_frame[[x + "_D" for x in extract_durations(config)]]
+    data_frame = data_frame[[x + "_D" for x in extract_durations(config, default_durations)]]
 
     if threshold is None:
         threshold = get_outlier_threshold(data_frame["EndToEnd_D"].describe())

xlap/analyse/util.py

@@ -30,13 +30,16 @@ def get_outlier_threshold(stats):
     return q75 + 1.5 * iqr
 
 
-def extract_durations(config):
+def extract_durations(config, default_durations=True):
     durations = config["durations"]
 
     durations_send = [x for x in durations if durations[x]["Source"] == "sender"]
     durations_recv = [x for x in durations if durations[x]["Source"] == "receiver"]
 
-    return ["EndToEnd", "Sender"] + durations_send + ["Receiver"] + durations_recv
+    sender_default_durations = ["Sender"] if default_durations else []
+    receiver_default_durations = ["Receiver"] if default_durations else []
+
+    return ["EndToEnd"] + sender_default_durations + durations_send + receiver_default_durations + durations_recv
 
 
 def box(data_frame, xlim=None, export=False, file_name=None, figsize=(8, 4.5)):