Update notebook to new version.

notebook.ipynb

@@ -47,9 +47,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "config = parse_config()\n",
@@ -118,9 +116,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "d = analyse(original, config)"
@@ -157,15 +153,6 @@
    "source": [
     "d.cfg"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
 %% Cell type:markdown id: tags:
 
 # X-Lap in Action
 
 %% Cell type:markdown id: tags:
 
 ## Imports
 
 %% Cell type:code id: tags:
 
 ``` python
 import logging
 logger = logging.getLogger()
 logger.setLevel(logging.DEBUG)
 from ipywidgets import interact, interactive, fixed, interact_manual
 import ipywidgets as widgets
 from xlap.parse import evaluate, evaluate_side, parse_config
 import xlap.analyse.jitter as jitter
 from xlap.analyse.regress import linear as linear_regression
 from xlap.analyse.trace import traces
 from xlap.analyse.correlation import correlation
 from xlap.analyse.latency import analyse
 import pandas as pd
 %matplotlib inline
 ```
 
 %% Cell type:markdown id: tags:
 
 ## Data Retrieval
 
 %% Cell type:code id: tags:
 
 ``` python
 config = parse_config()
 data_files = config["data_files"]
 original = evaluate(data_files["sender"], data_files["receiver"], config=config, kind=0)
 ```
 
 %% Cell type:markdown id: tags:
 
 ## Traces
 
 %% Cell type:code id: tags:
 
 ``` python
 traces(original, config)
 ```
 
 %% Cell type:markdown id: tags:
 
 ## Jitter Analysis
 
 %% Cell type:code id: tags:
 
 ``` python
 df = jitter.prep(original, config=config)
 jitter.trace_jitter(df, threshold=500)
 ```
 
 %% Cell type:markdown id: tags:
 
 ## Correlation
 
 %% Cell type:code id: tags:
 
 ``` python
 correlation(df[df["EndToEnd_D"] < 500], config)
 ```
 
 %% Cell type:markdown id: tags:
 
 ## Latency Criticality
 
 %% Cell type:code id: tags:
 
 ``` python
 d = analyse(original, config)
 ```
 
 %% Cell type:markdown id: tags:
 
 ### Correlations
 
 %% Cell type:code id: tags:
 
 ``` python
 d.corr.sort_values(ascending=False)
 ```
 
 %% Cell type:markdown id: tags:
 
 ### Control Flow Graph
 
 %% Cell type:code id: tags:
 
 ``` python
 d.cfg
 ```
-
-%% Cell type:code id: tags:
-
-``` python
-```