+= trace_jitter for paper

drone-notebook.ipynb

@@ -31,9 +31,10 @@
    "source": [
     "from xlap.parse import evaluate, parse_config\n",
     "config = parse_config(\"drone/xlap.yml\")\n",
+    "protocol = \"python\"\n",
     "data_files = {\n",
-    "    \"sender\": \"drone/sender.csv\",\n",
-    "    \"receiver\": \"drone/receiver.csv\"\n",
+    "    \"sender\": \"drone/{}-bridge/sender.csv\".format(protocol),\n",
+    "    \"receiver\": \"drone/{}-bridge/receiver.csv\".format(protocol)\n",
     "}\n",
     "df_1 = evaluate(data_files[\"sender\"], data_files[\"receiver\"], config=config, kind=0)\n",
     "df_1.name = \"\"\n",
@@ -73,7 +74,7 @@
    "outputs": [],
    "source": [
     "from xlap.analyse.jitter import trace_jitter\n",
-    "trace_jitter(df_1, config)"
+    "trace_jitter(df_1, config,file_name=\"{}_trace_jitter.pdf\".format(protocol),export=True)"
    ]
   },
   {
@@ -113,13 +114,6 @@
     "from xlap.analyse.correlation import multi_correlation\n",
     "multi_correlation(dfs, config, colors=colors, figsize=(3.0,2.0), cols=4)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -138,7 +132,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.1"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,
 %% 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/sender.csv",
-    "receiver": "drone/receiver.csv"
+    "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)
+trace_jitter(df_1, config,file_name="{}_trace_jitter.pdf".format(protocol),export=True)
 ```
 
 %% 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)
 ```
-
-%% Cell type:code id: tags:
-
-``` python
-```