update to most recent pmpy version

Author: Felix Mannhardt

python/0_data_loading.ipynb

@@ -146,6 +146,48 @@
     "pm4py.get_end_activities(sepsis_log)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In newer PM4Py version the default format of an event log is a Pandas DataFrame (sepsis_log) but we can also look at a log as a list of lists containing all attributes as dictionary (sepsis_event_log)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sepsis_log"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pm4py.objects.conversion.log import converter as log_conversion\n",
+    "sepsis_event_log = log_conversion.apply(sepsis_log, {}, log_conversion.TO_EVENT_LOG)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sepsis_event_log"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A typical 'view' on the log is to project events on the event label (concept:name in XES):"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -154,7 +196,7 @@
    "source": [
     "from pm4py.objects.log.util.log import project_traces\n",
     "def print_nth(log, index):\n",
-    "    print(str(project_traces(sepsis_log)[index]))"
+    "    print(str(project_traces(log, 'concept:name')[index]))"
    ]
   },
   {
@@ -163,7 +205,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "print_nth(sepsis_log, 0)"
+    "print_nth(sepsis_event_log, 0)"
    ]
   },
   {
@@ -172,7 +214,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "print_nth(sepsis_log, 1)"
+    "print_nth(sepsis_event_log, 1)"
    ]
   },
   {
@@ -228,7 +270,7 @@
    "source": [
     "A bit more comprehensible but more filtering or pre-processing could be performed, explore the PM4Py documentation on what is possible:\n",
     "\n",
-    "https://pm4py.fit.fraunhofer.de/documentation#filtering\n",
+    "https://processintelligence.solutions/static/api/2.7.11/api.html#filtering-pm4py-filtering\n",
     "\n",
     "You can also look at the trace or event attributes in an event log to generate suitable subsets."
    ]
@@ -275,7 +317,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.13"
+   "version": "3.10.12"
   },
   "vscode": {
    "interpreter": {

python/1_data_preparation.ipynb

@@ -53,7 +53,11 @@
     "# download from 4tu.nl\n",
     "urlretrieve('https://data.4tu.nl/file/33632f3c-5c48-40cf-8d8f-2db57f5a6ce7/643dccf2-985a-459e-835c-a82bce1c0339', 'sepsis1.xes.gz')\n",
     "sepsis_log = pm4py.read_xes('sepsis1.xes.gz')\n",
-    "os.unlink('sepsis1.xes.gz') # clean up"
+    "os.unlink('sepsis1.xes.gz') # clean up\n",
+    "\n",
+    "# Here we want the multiset (or rather list) of sequences view on logs\n",
+    "from pm4py.objects.conversion.log import converter as log_conversion\n",
+    "sepsis_log = log_conversion.apply(sepsis_log, {}, log_conversion.TO_EVENT_LOG)"
    ]
   },
   {
@@ -468,7 +472,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.13"
+   "version": "3.10.12"
   },
   "vscode": {
    "interpreter": {

python/2_prediction_outcome.ipynb

@@ -1,5 +1,4 @@
-# we use the old PM4Py API that was considerably changed in 2.3.0
-pm4py @ git+https://github.com/fmannhardt/pm4py-source@2.2.31-legacy
+pm4py==2.7.12.3
 numpy 
 pandas 
 networkx