From 90fd503584b5e08bbb8d2b22f1b2bc04106c2293 Mon Sep 17 00:00:00 2001
From: Marius Ciepluch <11855163+norandom@users.noreply.github.com>
Date: Fri, 17 May 2024 19:29:52 +0200
Subject: [PATCH] Pandas and Polars comparison improved, added Icicle graphs
 and profile data

---
 ...csearch-Pandas-vs-Polars-May-15-2024.ipynb | 3065 ++++++++++++++++-
 1 file changed, 3024 insertions(+), 41 deletions(-)

diff --git a/Elasticsearch-Pandas-vs-Polars-May-15-2024.ipynb b/Elasticsearch-Pandas-vs-Polars-May-15-2024.ipynb
index 1b5de12..4d24e53 100644
--- a/Elasticsearch-Pandas-vs-Polars-May-15-2024.ipynb
+++ b/Elasticsearch-Pandas-vs-Polars-May-15-2024.ipynb
@@ -450,12 +450,81 @@
     "tags": []
    },
    "source": [
-    "## Memory footprint comparison"
+    "## Memory footprint and profile comparison"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0e433322-5120-4451-9aa4-cfd5795aaa24",
+   "metadata": {},
+   "source": [
+    "A JSON schema is provided in both cases to improve the comparison."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 27,
+   "id": "93a2116d-1fdd-432b-a48c-8be77c67e0e7",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Once deleted, variables cannot be recovered. Proceed (y/[n])?  y\n"
+     ]
+    }
+   ],
+   "source": [
+    "%reset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bdf4020a-3b23-47e0-b7c4-3335bf3d5d8c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install git+https://github.com/H4dr1en/jupyterflame.git"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "427b969f-0e68-44da-b74d-5cada875f74f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# directly on the shell within the conda env: conda install -y perl"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "08db61e8-d70f-4434-bfcc-6225405b81f2",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The jupyterflame extension is already loaded. To reload it, use:\n",
+      "  %reload_ext jupyterflame\n"
+     ]
+    }
+   ],
+   "source": [
+    "%load_ext jupyterflame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
    "id": "eefffe2a-f61c-47c8-90e3-d0de0ab932d6",
    "metadata": {
     "tags": []
@@ -488,7 +557,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 46,
    "id": "0b2be27e-a56c-411b-bbff-dc42e533ca80",
    "metadata": {
     "tags": []
@@ -498,7 +567,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'@timestamp': String, 'host.hostname': String, 'host.ip': String, 'log.level': String, 'winlog.event_id': Int64, 'winlog.task': String, 'message': String}\n"
+      "Polars Schema: {'@timestamp': String, 'host.hostname': String, 'host.ip': String, 'log.level': String, 'winlog.event_id': Int64, 'winlog.task': String, 'message': String}\n",
+      "Pandas Schema: {'@timestamp': 'str', 'host.hostname': 'str', 'host.ip': 'str', 'log.level': 'str', 'winlog.event_id': 'int64', 'winlog.task': 'str', 'message': 'str'}\n"
      ]
     }
    ],
@@ -513,18 +583,57 @@
     "    # Add more mappings if needed\n",
     "}\n",
     "\n",
+    "pandas_dtype_mapping = {\n",
+    "    \"object\": \"str\",\n",
+    "    \"int64\": \"int64\",\n",
+    "    \"float64\": \"float64\",\n",
+    "    # Add more mappings if needed\n",
+    "}\n",
+    "\n",
+    "\n",
     "# Generate the schema for Polars from Pandas dtype\n",
-    "schema = {col: dtype_mapping[str(dtype)] for col, dtype in pd_df.dtypes.items()}\n",
-    "print(schema)\n"
+    "polars_schema = {col: dtype_mapping[str(dtype)] for col, dtype in pd_df.dtypes.items()}\n",
+    "print(\"Polars Schema:\", polars_schema)\n",
+    "\n",
+    "pandas_schema = {col: pandas_dtype_mapping[str(dtype)] for col, dtype in pd_df.dtypes.items()}\n",
+    "print(\"Pandas Schema:\", pandas_schema)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 53,
    "id": "5ccc9d58-8e27-43d0-bf69-7f2ff44c9874",
    "metadata": {
     "tags": []
    },
+   "outputs": [],
+   "source": [
+    "def test_polars():\n",
+    "    # Read the JSON file using the defined schema\n",
+    "    lazy_df = pl.scan_ndjson(file_path)\n",
+    "\n",
+    "    # Collect the LazyFrame to a DataFrame\n",
+    "    pl_df = lazy_df.collect()\n",
+    "\n",
+    "    # Convert columns to the correct data types according to the schema\n",
+    "    pl_df = pl_df.with_columns([pl.col(col).cast(dtype) for col, dtype in polars_schema.items()])\n",
+    "\n",
+    "    # Print the DataFrame and its memory usage\n",
+    "    print(pl_df)\n",
+    "\n",
+    "    num_rows_polars = pl_df.shape[0]\n",
+    "\n",
+    "    print(f\"Polars DataFarme number of rows:  {num_rows_polars}\")\n",
+    "    print(f\"Polars DataFrame memory usage: {pl_df.estimated_size() / (1024 ** 2):.2f} MB\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "6e1ca70b-9aae-43af-b1c0-cc8d6f19a7ce",
+   "metadata": {
+    "tags": []
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -575,36 +684,704 @@
       "│              ┆             ┆ 8a1         ┆             ┆             ┆             ┆ access …    │\n",
       "└──────────────┴─────────────┴─────────────┴─────────────┴─────────────┴─────────────┴─────────────┘\n",
       "Pandas DataFarme number of rows:  8000\n",
-      "Polars DataFrame memory usage: 4.76 MB\n"
+      "Polars DataFrame memory usage: 4.76 MB\n",
+      " "
      ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<?xml version=\"1.0\" standalone=\"no\"?>\n",
+       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
+       "<svg version=\"1.1\" width=\"1200\" height=\"230\" onload=\"init(evt)\" viewBox=\"0 0 1200 230\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
+       "<!-- Flame graph stack visualization. See https://github.com/brendangregg/FlameGraph for latest version, and http://www.brendangregg.com/flamegraphs.html for examples. -->\n",
+       "<!-- NOTES:  -->\n",
+       "<defs>\n",
+       "\t<linearGradient id=\"background\" y1=\"0\" y2=\"1\" x1=\"0\" x2=\"0\" >\n",
+       "\t\t<stop stop-color=\"#eeeeee\" offset=\"5%\" />\n",
+       "\t\t<stop stop-color=\"#eeeeb0\" offset=\"95%\" />\n",
+       "\t</linearGradient>\n",
+       "</defs>\n",
+       "<style type=\"text/css\">\n",
+       "\ttext { font-family:Verdana; font-size:12px; fill:rgb(0,0,0); }\n",
+       "\t#search { opacity:0.1; cursor:pointer; }\n",
+       "\t#search:hover, #search.show { opacity:1; }\n",
+       "\t#subtitle { text-anchor:middle; font-color:rgb(160,160,160); }\n",
+       "\t#title { text-anchor:middle; font-size:17px}\n",
+       "\t#unzoom { cursor:pointer; }\n",
+       "\t#frames > *:hover { stroke:black; stroke-width:0.5; cursor:pointer; }\n",
+       "\t.hide { display:none; }\n",
+       "\t.parent { opacity:0.5; }\n",
+       "</style>\n",
+       "<script type=\"text/ecmascript\">\n",
+       "<![CDATA[\n",
+       "\t\"use strict\";\n",
+       "\tvar details, searchbtn, unzoombtn, matchedtxt, svg, searching;\n",
+       "\tfunction init(evt) {\n",
+       "\t\tdetails = document.getElementById(\"details\").firstChild;\n",
+       "\t\tsearchbtn = document.getElementById(\"search\");\n",
+       "\t\tunzoombtn = document.getElementById(\"unzoom\");\n",
+       "\t\tmatchedtxt = document.getElementById(\"matched\");\n",
+       "\t\tsvg = document.getElementsByTagName(\"svg\")[0];\n",
+       "\t\tsearching = 0;\n",
+       "\t}\n",
+       "\n",
+       "\twindow.addEventListener(\"click\", function(e) {\n",
+       "\t\tvar target = find_group(e.target);\n",
+       "\t\tif (target) {\n",
+       "\t\t\tif (target.nodeName == \"a\") {\n",
+       "\t\t\t\tif (e.ctrlKey === false) return;\n",
+       "\t\t\t\te.preventDefault();\n",
+       "\t\t\t}\n",
+       "\t\t\tif (target.classList.contains(\"parent\")) unzoom();\n",
+       "\t\t\tzoom(target);\n",
+       "\t\t}\n",
+       "\t\telse if (e.target.id == \"unzoom\") unzoom();\n",
+       "\t\telse if (e.target.id == \"search\") search_prompt();\n",
+       "\t}, false)\n",
+       "\n",
+       "\t// mouse-over for info\n",
+       "\t// show\n",
+       "\twindow.addEventListener(\"mouseover\", function(e) {\n",
+       "\t\tvar target = find_group(e.target);\n",
+       "\t\tif (target) details.nodeValue = \"Function: \" + g_to_text(target);\n",
+       "\t}, false)\n",
+       "\n",
+       "\t// clear\n",
+       "\twindow.addEventListener(\"mouseout\", function(e) {\n",
+       "\t\tvar target = find_group(e.target);\n",
+       "\t\tif (target) details.nodeValue = ' ';\n",
+       "\t}, false)\n",
+       "\n",
+       "\t// ctrl-F for search\n",
+       "\twindow.addEventListener(\"keydown\",function (e) {\n",
+       "\t\tif (e.keyCode === 114 || (e.ctrlKey && e.keyCode === 70)) {\n",
+       "\t\t\te.preventDefault();\n",
+       "\t\t\tsearch_prompt();\n",
+       "\t\t}\n",
+       "\t}, false)\n",
+       "\n",
+       "\t// functions\n",
+       "\tfunction find_child(node, selector) {\n",
+       "\t\tvar children = node.querySelectorAll(selector);\n",
+       "\t\tif (children.length) return children[0];\n",
+       "\t\treturn;\n",
+       "\t}\n",
+       "\tfunction find_group(node) {\n",
+       "\t\tvar parent = node.parentElement;\n",
+       "\t\tif (!parent) return;\n",
+       "\t\tif (parent.id == \"frames\") return node;\n",
+       "\t\treturn find_group(parent);\n",
+       "\t}\n",
+       "\tfunction orig_save(e, attr, val) {\n",
+       "\t\tif (e.attributes[\"_orig_\" + attr] != undefined) return;\n",
+       "\t\tif (e.attributes[attr] == undefined) return;\n",
+       "\t\tif (val == undefined) val = e.attributes[attr].value;\n",
+       "\t\te.setAttribute(\"_orig_\" + attr, val);\n",
+       "\t}\n",
+       "\tfunction orig_load(e, attr) {\n",
+       "\t\tif (e.attributes[\"_orig_\"+attr] == undefined) return;\n",
+       "\t\te.attributes[attr].value = e.attributes[\"_orig_\" + attr].value;\n",
+       "\t\te.removeAttribute(\"_orig_\"+attr);\n",
+       "\t}\n",
+       "\tfunction g_to_text(e) {\n",
+       "\t\tvar text = find_child(e, \"title\").firstChild.nodeValue;\n",
+       "\t\treturn (text)\n",
+       "\t}\n",
+       "\tfunction g_to_func(e) {\n",
+       "\t\tvar func = g_to_text(e);\n",
+       "\t\t// if there's any manipulation we want to do to the function\n",
+       "\t\t// name before it's searched, do it here before returning.\n",
+       "\t\treturn (func);\n",
+       "\t}\n",
+       "\tfunction update_text(e) {\n",
+       "\t\tvar r = find_child(e, \"rect\");\n",
+       "\t\tvar t = find_child(e, \"text\");\n",
+       "\t\tvar w = parseFloat(r.attributes.width.value) -3;\n",
+       "\t\tvar txt = find_child(e, \"title\").textContent.replace(/\\([^(]*\\)$/,\"\");\n",
+       "\t\tt.attributes.x.value = parseFloat(r.attributes.x.value) + 3;\n",
+       "\n",
+       "\t\t// Smaller than this size won't fit anything\n",
+       "\t\tif (w < 2 * 12 * 0.59) {\n",
+       "\t\t\tt.textContent = \"\";\n",
+       "\t\t\treturn;\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tt.textContent = txt;\n",
+       "\t\t// Fit in full text width\n",
+       "\t\tif (/^ *$/.test(txt) || t.getSubStringLength(0, txt.length) < w)\n",
+       "\t\t\treturn;\n",
+       "\n",
+       "\t\tfor (var x = txt.length - 2; x > 0; x--) {\n",
+       "\t\t\tif (t.getSubStringLength(0, x + 2) <= w) {\n",
+       "\t\t\t\tt.textContent = txt.substring(0, x) + \"..\";\n",
+       "\t\t\t\treturn;\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\t\tt.textContent = \"\";\n",
+       "\t}\n",
+       "\n",
+       "\t// zoom\n",
+       "\tfunction zoom_reset(e) {\n",
+       "\t\tif (e.attributes != undefined) {\n",
+       "\t\t\torig_load(e, \"x\");\n",
+       "\t\t\torig_load(e, \"width\");\n",
+       "\t\t}\n",
+       "\t\tif (e.childNodes == undefined) return;\n",
+       "\t\tfor (var i = 0, c = e.childNodes; i < c.length; i++) {\n",
+       "\t\t\tzoom_reset(c[i]);\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\tfunction zoom_child(e, x, ratio) {\n",
+       "\t\tif (e.attributes != undefined) {\n",
+       "\t\t\tif (e.attributes.x != undefined) {\n",
+       "\t\t\t\torig_save(e, \"x\");\n",
+       "\t\t\t\te.attributes.x.value = (parseFloat(e.attributes.x.value) - x - 10) * ratio + 10;\n",
+       "\t\t\t\tif (e.tagName == \"text\")\n",
+       "\t\t\t\t\te.attributes.x.value = find_child(e.parentNode, \"rect[x]\").attributes.x.value + 3;\n",
+       "\t\t\t}\n",
+       "\t\t\tif (e.attributes.width != undefined) {\n",
+       "\t\t\t\torig_save(e, \"width\");\n",
+       "\t\t\t\te.attributes.width.value = parseFloat(e.attributes.width.value) * ratio;\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (e.childNodes == undefined) return;\n",
+       "\t\tfor (var i = 0, c = e.childNodes; i < c.length; i++) {\n",
+       "\t\t\tzoom_child(c[i], x - 10, ratio);\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\tfunction zoom_parent(e) {\n",
+       "\t\tif (e.attributes) {\n",
+       "\t\t\tif (e.attributes.x != undefined) {\n",
+       "\t\t\t\torig_save(e, \"x\");\n",
+       "\t\t\t\te.attributes.x.value = 10;\n",
+       "\t\t\t}\n",
+       "\t\t\tif (e.attributes.width != undefined) {\n",
+       "\t\t\t\torig_save(e, \"width\");\n",
+       "\t\t\t\te.attributes.width.value = parseInt(svg.width.baseVal.value) - (10 * 2);\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\t\tif (e.childNodes == undefined) return;\n",
+       "\t\tfor (var i = 0, c = e.childNodes; i < c.length; i++) {\n",
+       "\t\t\tzoom_parent(c[i]);\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\tfunction zoom(node) {\n",
+       "\t\tvar attr = find_child(node, \"rect\").attributes;\n",
+       "\t\tvar width = parseFloat(attr.width.value);\n",
+       "\t\tvar xmin = parseFloat(attr.x.value);\n",
+       "\t\tvar xmax = parseFloat(xmin + width);\n",
+       "\t\tvar ymin = parseFloat(attr.y.value);\n",
+       "\t\tvar ratio = (svg.width.baseVal.value - 2 * 10) / width;\n",
+       "\n",
+       "\t\t// XXX: Workaround for JavaScript float issues (fix me)\n",
+       "\t\tvar fudge = 0.0001;\n",
+       "\n",
+       "\t\tunzoombtn.classList.remove(\"hide\");\n",
+       "\n",
+       "\t\tvar el = document.getElementById(\"frames\").children;\n",
+       "\t\tfor (var i = 0; i < el.length; i++) {\n",
+       "\t\t\tvar e = el[i];\n",
+       "\t\t\tvar a = find_child(e, \"rect\").attributes;\n",
+       "\t\t\tvar ex = parseFloat(a.x.value);\n",
+       "\t\t\tvar ew = parseFloat(a.width.value);\n",
+       "\t\t\tvar upstack;\n",
+       "\t\t\t// Is it an ancestor\n",
+       "\t\t\tif (1 == 0) {\n",
+       "\t\t\t\tupstack = parseFloat(a.y.value) > ymin;\n",
+       "\t\t\t} else {\n",
+       "\t\t\t\tupstack = parseFloat(a.y.value) < ymin;\n",
+       "\t\t\t}\n",
+       "\t\t\tif (upstack) {\n",
+       "\t\t\t\t// Direct ancestor\n",
+       "\t\t\t\tif (ex <= xmin && (ex+ew+fudge) >= xmax) {\n",
+       "\t\t\t\t\te.classList.add(\"parent\");\n",
+       "\t\t\t\t\tzoom_parent(e);\n",
+       "\t\t\t\t\tupdate_text(e);\n",
+       "\t\t\t\t}\n",
+       "\t\t\t\t// not in current path\n",
+       "\t\t\t\telse\n",
+       "\t\t\t\t\te.classList.add(\"hide\");\n",
+       "\t\t\t}\n",
+       "\t\t\t// Children maybe\n",
+       "\t\t\telse {\n",
+       "\t\t\t\t// no common path\n",
+       "\t\t\t\tif (ex < xmin || ex + fudge >= xmax) {\n",
+       "\t\t\t\t\te.classList.add(\"hide\");\n",
+       "\t\t\t\t}\n",
+       "\t\t\t\telse {\n",
+       "\t\t\t\t\tzoom_child(e, xmin, ratio);\n",
+       "\t\t\t\t\tupdate_text(e);\n",
+       "\t\t\t\t}\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\tfunction unzoom() {\n",
+       "\t\tunzoombtn.classList.add(\"hide\");\n",
+       "\t\tvar el = document.getElementById(\"frames\").children;\n",
+       "\t\tfor(var i = 0; i < el.length; i++) {\n",
+       "\t\t\tel[i].classList.remove(\"parent\");\n",
+       "\t\t\tel[i].classList.remove(\"hide\");\n",
+       "\t\t\tzoom_reset(el[i]);\n",
+       "\t\t\tupdate_text(el[i]);\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\t// search\n",
+       "\tfunction reset_search() {\n",
+       "\t\tvar el = document.querySelectorAll(\"#frames rect\");\n",
+       "\t\tfor (var i = 0; i < el.length; i++) {\n",
+       "\t\t\torig_load(el[i], \"fill\")\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\tfunction search_prompt() {\n",
+       "\t\tif (!searching) {\n",
+       "\t\t\tvar term = prompt(\"Enter a search term (regexp \" +\n",
+       "\t\t\t    \"allowed, eg: ^ext4_)\", \"\");\n",
+       "\t\t\tif (term != null) {\n",
+       "\t\t\t\tsearch(term)\n",
+       "\t\t\t}\n",
+       "\t\t} else {\n",
+       "\t\t\treset_search();\n",
+       "\t\t\tsearching = 0;\n",
+       "\t\t\tsearchbtn.classList.remove(\"show\");\n",
+       "\t\t\tsearchbtn.firstChild.nodeValue = \"Search\"\n",
+       "\t\t\tmatchedtxt.classList.add(\"hide\");\n",
+       "\t\t\tmatchedtxt.firstChild.nodeValue = \"\"\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\tfunction search(term) {\n",
+       "\t\tvar re = new RegExp(term);\n",
+       "\t\tvar el = document.getElementById(\"frames\").children;\n",
+       "\t\tvar matches = new Object();\n",
+       "\t\tvar maxwidth = 0;\n",
+       "\t\tfor (var i = 0; i < el.length; i++) {\n",
+       "\t\t\tvar e = el[i];\n",
+       "\t\t\tvar func = g_to_func(e);\n",
+       "\t\t\tvar rect = find_child(e, \"rect\");\n",
+       "\t\t\tif (func == null || rect == null)\n",
+       "\t\t\t\tcontinue;\n",
+       "\n",
+       "\t\t\t// Save max width. Only works as we have a root frame\n",
+       "\t\t\tvar w = parseFloat(rect.attributes.width.value);\n",
+       "\t\t\tif (w > maxwidth)\n",
+       "\t\t\t\tmaxwidth = w;\n",
+       "\n",
+       "\t\t\tif (func.match(re)) {\n",
+       "\t\t\t\t// highlight\n",
+       "\t\t\t\tvar x = parseFloat(rect.attributes.x.value);\n",
+       "\t\t\t\torig_save(rect, \"fill\");\n",
+       "\t\t\t\trect.attributes.fill.value = \"rgb(230,0,230)\";\n",
+       "\n",
+       "\t\t\t\t// remember matches\n",
+       "\t\t\t\tif (matches[x] == undefined) {\n",
+       "\t\t\t\t\tmatches[x] = w;\n",
+       "\t\t\t\t} else {\n",
+       "\t\t\t\t\tif (w > matches[x]) {\n",
+       "\t\t\t\t\t\t// overwrite with parent\n",
+       "\t\t\t\t\t\tmatches[x] = w;\n",
+       "\t\t\t\t\t}\n",
+       "\t\t\t\t}\n",
+       "\t\t\t\tsearching = 1;\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\t\tif (!searching)\n",
+       "\t\t\treturn;\n",
+       "\n",
+       "\t\tsearchbtn.classList.add(\"show\");\n",
+       "\t\tsearchbtn.firstChild.nodeValue = \"Reset Search\";\n",
+       "\n",
+       "\t\t// calculate percent matched, excluding vertical overlap\n",
+       "\t\tvar count = 0;\n",
+       "\t\tvar lastx = -1;\n",
+       "\t\tvar lastw = 0;\n",
+       "\t\tvar keys = Array();\n",
+       "\t\tfor (k in matches) {\n",
+       "\t\t\tif (matches.hasOwnProperty(k))\n",
+       "\t\t\t\tkeys.push(k);\n",
+       "\t\t}\n",
+       "\t\t// sort the matched frames by their x location\n",
+       "\t\t// ascending, then width descending\n",
+       "\t\tkeys.sort(function(a, b){\n",
+       "\t\t\treturn a - b;\n",
+       "\t\t});\n",
+       "\t\t// Step through frames saving only the biggest bottom-up frames\n",
+       "\t\t// thanks to the sort order. This relies on the tree property\n",
+       "\t\t// where children are always smaller than their parents.\n",
+       "\t\tvar fudge = 0.0001;\t// JavaScript floating point\n",
+       "\t\tfor (var k in keys) {\n",
+       "\t\t\tvar x = parseFloat(keys[k]);\n",
+       "\t\t\tvar w = matches[keys[k]];\n",
+       "\t\t\tif (x >= lastx + lastw - fudge) {\n",
+       "\t\t\t\tcount += w;\n",
+       "\t\t\t\tlastx = x;\n",
+       "\t\t\t\tlastw = w;\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\t\t// display matched percent\n",
+       "\t\tmatchedtxt.classList.remove(\"hide\");\n",
+       "\t\tvar pct = 100 * count / maxwidth;\n",
+       "\t\tif (pct != 100) pct = pct.toFixed(1)\n",
+       "\t\tmatchedtxt.firstChild.nodeValue = \"Matched: \" + pct + \"%\";\n",
+       "\t}\n",
+       "]]>\n",
+       "</script>\n",
+       "<rect x=\"0.0\" y=\"0\" width=\"1200.0\" height=\"230.0\" fill=\"url(#background)\"  />\n",
+       "<text id=\"title\" x=\"600.00\" y=\"24\" >Icicle Graph</text>\n",
+       "<text id=\"details\" x=\"10.00\" y=\"213\" > </text>\n",
+       "<text id=\"unzoom\" x=\"10.00\" y=\"24\" class=\"hide\">Reset Zoom</text>\n",
+       "<text id=\"search\" x=\"1090.00\" y=\"24\" >Search</text>\n",
+       "<text id=\"matched\" x=\"1090.00\" y=\"213\" > </text>\n",
+       "<g id=\"frames\">\n",
+       "<g >\n",
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+       "</g>\n",
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+       "<g >\n",
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+       "</g>\n",
+       "<g >\n",
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+       "</g>\n",
+       "<g >\n",
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+       "</g>\n",
+       "<g >\n",
+       "<title>all (32,467 samples, 100%)</title><rect x=\"10.0\" y=\"36\" width=\"1180.0\" height=\"15.0\" fill=\"rgb(223,13,53)\" rx=\"2\" ry=\"2\" />\n",
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+       "</g>\n",
+       "<g >\n",
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+       "</g>\n",
+       "<g >\n",
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+       "</g>\n",
+       "<g >\n",
+       "<title>/home/marius/anaconda3/lib/python3.11/site-packages/polars/_utils/deprecation.py:130:wrapper (1,112 samples, 3.43%)</title><rect x=\"21.8\" y=\"116\" width=\"40.5\" height=\"15.0\" fill=\"rgb(251,10,25)\" rx=\"2\" ry=\"2\" />\n",
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+       "</g>\n",
+       "<g >\n",
+       "<title>/home/marius/anaconda3/lib/python3.11/site-packages/polars/functions/col.py:20:_create_col (39 samples, 0.12%)</title><rect x=\"1169.4\" y=\"132\" width=\"1.4\" height=\"15.0\" fill=\"rgb(235,110,1)\" rx=\"2\" ry=\"2\" />\n",
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+       "</g>\n",
+       "<g >\n",
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+       "</g>\n",
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+       "</g>\n",
+       "<g >\n",
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+       "</g>\n",
+       "<g >\n",
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+       "<g >\n",
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+       "</g>\n",
+       "<g >\n",
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+       "</g>\n",
+       "<g >\n",
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+       "</g>\n",
+       "<g >\n",
+       "<title>&lt;string&gt;:1:&lt;module&gt; (32,424 samples, 99.87%)</title><rect x=\"11.6\" y=\"68\" width=\"1178.4\" height=\"15.0\" fill=\"rgb(245,200,44)\" rx=\"2\" ry=\"2\" />\n",
+       "<text  x=\"14.56\" y=\"78.5\" >&lt;string&gt;:1:&lt;module&gt;</text>\n",
+       "</g>\n",
+       "<g >\n",
+       "<title>~:0:&lt;built-in method builtins.exec&gt; (32,467 samples, 100.00%)</title><rect x=\"10.0\" y=\"52\" width=\"1180.0\" height=\"15.0\" fill=\"rgb(245,159,10)\" rx=\"2\" ry=\"2\" />\n",
+       "<text  x=\"13.00\" y=\"62.5\" >~:0:&lt;built-in method builtins.exec&gt;</text>\n",
+       "</g>\n",
+       "<g >\n",
+       "<title>/home/marius/anaconda3/lib/python3.11/site-packages/polars/expr/expr.py:1917:cast (50 samples, 0.15%)</title><rect x=\"1167.3\" y=\"116\" width=\"1.8\" height=\"15.0\" fill=\"rgb(207,186,29)\" rx=\"2\" ry=\"2\" />\n",
+       "<text  x=\"1170.28\" y=\"126.5\" ></text>\n",
+       "</g>\n",
+       "<g >\n",
+       "<title>/home/marius/anaconda3/lib/python3.11/site-packages/polars/io/ndjson.py:86:scan_ndjson (2,217 samples, 6.83%)</title><rect x=\"62.3\" y=\"116\" width=\"80.5\" height=\"15.0\" fill=\"rgb(249,64,17)\" rx=\"2\" ry=\"2\" />\n",
+       "<text  x=\"65.26\" y=\"126.5\" >/home/mar..</text>\n",
+       "</g>\n",
+       "<g >\n",
+       "<title>~:0:&lt;method 'as_str' of 'builtins.PyDataFrame' objects&gt; (399 samples, 1.23%)</title><rect x=\"1175.5\" y=\"132\" width=\"14.5\" height=\"15.0\" fill=\"rgb(210,100,53)\" rx=\"2\" ry=\"2\" />\n",
+       "<text  x=\"1178.50\" y=\"142.5\" ></text>\n",
+       "</g>\n",
+       "</g>\n",
+       "</svg>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "# Read the JSON file using the defined schema\n",
-    "lazy_df = pl.scan_ndjson(file_path)\n",
-    "\n",
-    "# Collect the LazyFrame to a DataFrame\n",
-    "pl_df = lazy_df.collect()\n",
-    "\n",
-    "# Convert columns to the correct data types according to the schema\n",
-    "pl_df = pl_df.with_columns([pl.col(col).cast(dtype) for col, dtype in schema.items()])\n",
-    "\n",
-    "# Print the DataFrame and its memory usage\n",
-    "print(pl_df)\n",
-    "\n",
-    "num_rows_polars = pl_df.shape[0]\n",
-    "\n",
-    "print(f\"Pandas DataFarme number of rows:  {num_rows_polars}\")\n",
-    "print(f\"Polars DataFrame memory usage: {pl_df.estimated_size() / (1024 ** 2):.2f} MB\")"
+    "%%flame -q --inverted\n",
+    "test_polars()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 49,
+   "id": "87f043b9-6cfa-4c3b-b550-25818e29bd45",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "shape: (8_000, 7)\n",
+      "┌──────────────┬─────────────┬─────────────┬─────────────┬─────────────┬─────────────┬─────────────┐\n",
+      "│ @timestamp   ┆ host.hostna ┆ host.ip     ┆ log.level   ┆ winlog.even ┆ winlog.task ┆ message     │\n",
+      "│ ---          ┆ me          ┆ ---         ┆ ---         ┆ t_id        ┆ ---         ┆ ---         │\n",
+      "│ str          ┆ ---         ┆ str         ┆ str         ┆ ---         ┆ str         ┆ str         │\n",
+      "│              ┆ str         ┆             ┆             ┆ i64         ┆             ┆             │\n",
+      "╞══════════════╪═════════════╪═════════════╪═════════════╪═════════════╪═════════════╪═════════════╡\n",
+      "│ 2024-05-15T1 ┆ win10       ┆ fe80::24b4: ┆ information ┆ 13          ┆ Registry    ┆ Registry    │\n",
+      "│ 5:57:18.471Z ┆             ┆ 3691:44a6:3 ┆             ┆             ┆ value set   ┆ value set:  │\n",
+      "│              ┆             ┆ 8a1         ┆             ┆             ┆ (rule:      ┆ RuleName: … │\n",
+      "│              ┆             ┆             ┆             ┆             ┆ Regi…       ┆             │\n",
+      "│ 2024-05-15T1 ┆ win10       ┆ fe80::24b4: ┆ information ┆ 13          ┆ Registry    ┆ Registry    │\n",
+      "│ 5:57:18.471Z ┆             ┆ 3691:44a6:3 ┆             ┆             ┆ value set   ┆ value set:  │\n",
+      "│              ┆             ┆ 8a1         ┆             ┆             ┆ (rule:      ┆ RuleName: … │\n",
+      "│              ┆             ┆             ┆             ┆             ┆ Regi…       ┆             │\n",
+      "│ 2024-05-15T1 ┆ win10       ┆ fe80::24b4: ┆ information ┆ 13          ┆ Registry    ┆ Registry    │\n",
+      "│ 5:57:18.471Z ┆             ┆ 3691:44a6:3 ┆             ┆             ┆ value set   ┆ value set:  │\n",
+      "│              ┆             ┆ 8a1         ┆             ┆             ┆ (rule:      ┆ RuleName: … │\n",
+      "│              ┆             ┆             ┆             ┆             ┆ Regi…       ┆             │\n",
+      "│ 2024-05-15T1 ┆ win10       ┆ fe80::24b4: ┆ information ┆ 13          ┆ Registry    ┆ Registry    │\n",
+      "│ 5:57:18.471Z ┆             ┆ 3691:44a6:3 ┆             ┆             ┆ value set   ┆ value set:  │\n",
+      "│              ┆             ┆ 8a1         ┆             ┆             ┆ (rule:      ┆ RuleName: … │\n",
+      "│              ┆             ┆             ┆             ┆             ┆ Regi…       ┆             │\n",
+      "│ 2024-05-15T1 ┆ win10       ┆ fe80::24b4: ┆ information ┆ 13          ┆ Registry    ┆ Registry    │\n",
+      "│ 5:57:18.471Z ┆             ┆ 3691:44a6:3 ┆             ┆             ┆ value set   ┆ value set:  │\n",
+      "│              ┆             ┆ 8a1         ┆             ┆             ┆ (rule:      ┆ RuleName: … │\n",
+      "│              ┆             ┆             ┆             ┆             ┆ Regi…       ┆             │\n",
+      "│ …            ┆ …           ┆ …           ┆ …           ┆ …           ┆ …           ┆ …           │\n",
+      "│ 2024-05-15T1 ┆ win10       ┆ fe80::24b4: ┆ information ┆ 4663        ┆ Removable   ┆ An attempt  │\n",
+      "│ 6:10:07.128Z ┆             ┆ 3691:44a6:3 ┆             ┆             ┆ Storage     ┆ was made to │\n",
+      "│              ┆             ┆ 8a1         ┆             ┆             ┆             ┆ access …    │\n",
+      "│ 2024-05-15T1 ┆ win10       ┆ fe80::24b4: ┆ information ┆ 4663        ┆ Removable   ┆ An attempt  │\n",
+      "│ 6:10:07.136Z ┆             ┆ 3691:44a6:3 ┆             ┆             ┆ Storage     ┆ was made to │\n",
+      "│              ┆             ┆ 8a1         ┆             ┆             ┆             ┆ access …    │\n",
+      "│ 2024-05-15T1 ┆ win10       ┆ fe80::24b4: ┆ information ┆ 4663        ┆ Removable   ┆ An attempt  │\n",
+      "│ 6:10:07.136Z ┆             ┆ 3691:44a6:3 ┆             ┆             ┆ Storage     ┆ was made to │\n",
+      "│              ┆             ┆ 8a1         ┆             ┆             ┆             ┆ access …    │\n",
+      "│ 2024-05-15T1 ┆ win10       ┆ fe80::24b4: ┆ information ┆ 4663        ┆ Removable   ┆ An attempt  │\n",
+      "│ 6:10:07.149Z ┆             ┆ 3691:44a6:3 ┆             ┆             ┆ Storage     ┆ was made to │\n",
+      "│              ┆             ┆ 8a1         ┆             ┆             ┆             ┆ access …    │\n",
+      "│ 2024-05-15T1 ┆ win10       ┆ fe80::24b4: ┆ information ┆ 4663        ┆ Removable   ┆ An attempt  │\n",
+      "│ 6:10:07.149Z ┆             ┆ 3691:44a6:3 ┆             ┆             ┆ Storage     ┆ was made to │\n",
+      "│              ┆             ┆ 8a1         ┆             ┆             ┆             ┆ access …    │\n",
+      "└──────────────┴─────────────┴─────────────┴─────────────┴─────────────┴─────────────┴─────────────┘\n",
+      "Pandas DataFarme number of rows:  8000\n",
+      "Polars DataFrame memory usage: 4.76 MB\n",
+      " "
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "         256 function calls (253 primitive calls) in 0.020 seconds\n",
+       "\n",
+       "   Ordered by: internal time\n",
+       "\n",
+       "   ncalls  tottime  percall  cumtime  percall filename:lineno(function)\n",
+       "        2    0.014    0.007    0.014    0.007 {method 'collect' of 'builtins.PyLazyFrame' objects}\n",
+       "        1    0.003    0.003    0.003    0.003 {built-in method new_from_ndjson}\n",
+       "        2    0.001    0.001    0.001    0.001 {built-in method posix.stat}\n",
+       "        1    0.000    0.000    0.000    0.000 {method 'as_str' of 'builtins.PyDataFrame' objects}\n",
+       "        1    0.000    0.000    0.020    0.020 <string>:1(<module>)\n",
+       "        1    0.000    0.000    0.020    0.020 2832609216.py:1(test_polars)\n",
+       "        1    0.000    0.000    0.000    0.000 socket.py:543(send)\n",
+       "        2    0.000    0.000    0.000    0.000 wrap.py:12(wrap_df)\n",
+       "        6    0.000    0.000    0.000    0.000 iostream.py:610(write)\n",
+       "        1    0.000    0.000    0.020    0.020 {built-in method builtins.exec}\n",
+       "        2    0.000    0.000    0.014    0.007 frame.py:1683(collect)\n",
+       "        1    0.000    0.000    0.004    0.004 ndjson.py:86(scan_ndjson)\n",
+       "        1    0.000    0.000    0.000    0.000 2832609216.py:9(<listcomp>)\n",
+       "      2/1    0.000    0.000    0.004    0.004 deprecation.py:130(wrapper)\n",
+       "        2    0.000    0.000    0.000    0.000 wrap.py:16(wrap_ldf)\n",
+       "        7    0.000    0.000    0.000    0.000 expr.py:1917(cast)\n",
+       "        1    0.000    0.000    0.001    0.001 various.py:182(normalize_filepath)\n",
+       "    41/39    0.000    0.000    0.000    0.000 {built-in method builtins.isinstance}\n",
+       "        7    0.000    0.000    0.000    0.000 col.py:20(_create_col)\n",
+       "        3    0.000    0.000    0.001    0.000 {built-in method builtins.print}\n",
+       "        1    0.000    0.000    0.000    0.000 frame.py:4006(with_columns)\n",
+       "        2    0.000    0.000    0.000    0.000 {method 'optimization_toggle' of 'builtins.PyLazyFrame' objects}\n",
+       "        1    0.000    0.000    0.000    0.000 frame.py:7998(lazy)\n",
+       "        3    0.000    0.000    0.000    0.000 frame.py:316(_from_pyldf)\n",
+       "        1    0.000    0.000    0.001    0.001 frame.py:8164(with_columns)\n",
+       "        7    0.000    0.000    0.000    0.000 {method 'cast' of 'builtins.PyExpr' objects}\n",
+       "        1    0.000    0.000    0.000    0.000 iostream.py:243(schedule)\n",
+       "        7    0.000    0.000    0.000    0.000 convert.py:388(py_type_to_dtype)\n",
+       "       19    0.000    0.000    0.000    0.000 {built-in method __new__ of type object at 0x860f60}\n",
+       "        6    0.000    0.000    0.000    0.000 iostream.py:505(_is_master_process)\n",
+       "        1    0.000    0.000    0.000    0.000 {method 'with_columns' of 'builtins.PyLazyFrame' objects}\n",
+       "        1    0.000    0.000    0.000    0.000 <frozen os>:674(__getitem__)\n",
+       "        7    0.000    0.000    0.000    0.000 {col}\n",
+       "        7    0.000    0.000    0.000    0.000 col.py:145(__new__)\n",
+       "        1    0.000    0.000    0.000    0.000 <frozen genericpath>:39(isdir)\n",
+       "        7    0.000    0.000    0.000    0.000 wrap.py:24(wrap_expr)\n",
+       "        1    0.000    0.000    0.000    0.000 <frozen posixpath>:229(expanduser)\n",
+       "        6    0.000    0.000    0.000    0.000 {built-in method posix.getpid}\n",
+       "       14    0.000    0.000    0.000    0.000 expr.py:131(_from_pyexpr)\n",
+       "        1    0.000    0.000    0.000    0.000 {method 'lazy' of 'builtins.PyDataFrame' objects}\n",
+       "        1    0.000    0.000    0.000    0.000 typing.py:1579(__subclasscheck__)\n",
+       "        2    0.000    0.000    0.000    0.000 frame.py:439(_from_pydf)\n",
+       "        1    0.000    0.000    0.000    0.000 parse_expr_input.py:56(<listcomp>)\n",
+       "        7    0.000    0.000    0.000    0.000 convert.py:146(is_polars_dtype)\n",
+       "        1    0.000    0.000    0.000    0.000 threading.py:1185(is_alive)\n",
+       "        1    0.000    0.000    0.001    0.001 <frozen genericpath>:16(exists)\n",
+       "        1    0.000    0.000    0.000    0.000 {method 'estimated_size' of 'builtins.PyDataFrame' objects}\n",
+       "        6    0.000    0.000    0.000    0.000 iostream.py:532(_schedule_flush)\n",
+       "        1    0.000    0.000    0.000    0.000 frame.py:980(__str__)\n",
+       "        1    0.000    0.000    0.000    0.000 parse_expr_input.py:59(_parse_inputs_as_iterable)\n",
+       "        1    0.000    0.000    0.000    0.000 <frozen _collections_abc>:771(get)\n",
+       "        1    0.000    0.000    0.000    0.000 threading.py:1118(_wait_for_tstate_lock)\n",
+       "        7    0.000    0.000    0.000    0.000 parse_expr_input.py:85(parse_as_expression)\n",
+       "        1    0.000    0.000    0.000    0.000 frame.py:3600(estimated_size)\n",
+       "        1    0.000    0.000    0.000    0.000 parse_expr_input.py:50(_parse_positional_inputs)\n",
+       "        1    0.000    0.000    0.000    0.000 <frozen os>:756(encode)\n",
+       "        1    0.000    0.000    0.000    0.000 frame.py:591(shape)\n",
+       "        1    0.000    0.000    0.000    0.000 {built-in method builtins.issubclass}\n",
+       "        1    0.000    0.000    0.000    0.000 iostream.py:127(_event_pipe)\n",
+       "        1    0.000    0.000    0.000    0.000 parse_expr_input.py:72(_is_iterable)\n",
+       "        1    0.000    0.000    0.000    0.000 parse_expr_input.py:20(parse_as_list_of_expressions)\n",
+       "        1    0.000    0.000    0.000    0.000 typing.py:1304(__instancecheck__)\n",
+       "        1    0.000    0.000    0.000    0.000 <frozen abc>:121(__subclasscheck__)\n",
+       "        1    0.000    0.000    0.000    0.000 {built-in method _abc._abc_subclasscheck}\n",
+       "        1    0.000    0.000    0.000    0.000 {method 'shape' of 'builtins.PyDataFrame' objects}\n",
+       "        1    0.000    0.000    0.000    0.000 {method 'acquire' of '_thread.lock' objects}\n",
+       "        7    0.000    0.000    0.000    0.000 {built-in method builtins.len}\n",
+       "        6    0.000    0.000    0.000    0.000 {method 'write' of '_io.StringIO' objects}\n",
+       "        6    0.000    0.000    0.000    0.000 {method '__exit__' of '_thread.RLock' objects}\n",
+       "        1    0.000    0.000    0.000    0.000 {built-in method _stat.S_ISDIR}\n",
+       "        1    0.000    0.000    0.000    0.000 various.py:210(scale_bytes)\n",
+       "        1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}\n",
+       "        2    0.000    0.000    0.000    0.000 {method 'get' of 'dict' objects}\n",
+       "        2    0.000    0.000    0.000    0.000 deprecation.py:143(_rename_keyword_argument)\n",
+       "        1    0.000    0.000    0.000    0.000 {method 'encode' of 'str' objects}\n",
+       "        1    0.000    0.000    0.000    0.000 {method 'items' of 'dict' objects}\n",
+       "        1    0.000    0.000    0.000    0.000 {method 'startswith' of 'str' objects}\n",
+       "        1    0.000    0.000    0.000    0.000 _utils.py:58(parse_row_index_args)\n",
+       "        1    0.000    0.000    0.000    0.000 threading.py:568(is_set)\n",
+       "        1    0.000    0.000    0.000    0.000 {method 'append' of 'collections.deque' objects}\n",
+       "        1    0.000    0.000    0.000    0.000 {built-in method posix.fspath}"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%prun\n",
+    "test_polars()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
    "id": "547f7253-cd62-44c6-8d7a-840dab2dbbbd",
    "metadata": {
     "tags": []
    },
+   "outputs": [],
+   "source": [
+    "def test_pandas():\n",
+    "    # Load the JSON file into a Pandas DataFrame\n",
+    "    pd_df = pd.read_json(file_path, lines=True, dtype=pandas_schema)\n",
+    "    pd_memory_usage = pd_df.memory_usage(deep=True).sum()\n",
+    "\n",
+    "    # Get the number of rows in the Pandas DataFrame\n",
+    "    num_rows_pandas = pd_df.shape[0]\n",
+    "\n",
+    "    print(pd_df)\n",
+    "\n",
+    "    print(f\"Pandas DataFarme number of rows:  {num_rows_pandas}\")\n",
+    "    print(f\"Pandas DataFrame memory usage: {pd_memory_usage / (1024 ** 2):.2f} MB\")    \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "50230892-0a0e-4144-a17e-27d2714de1e8",
+   "metadata": {
+    "tags": []
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -651,34 +1428,2240 @@
       "\n",
       "[8000 rows x 7 columns]\n",
       "Pandas DataFarme number of rows:  8000\n",
-      "Pandas DataFrame memory usage: 7.56 MB\n"
+      "Pandas DataFrame memory usage: 7.56 MB\n",
+      " "
      ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<?xml version=\"1.0\" standalone=\"no\"?>\n",
+       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
+       "<svg version=\"1.1\" width=\"1200\" height=\"406\" onload=\"init(evt)\" viewBox=\"0 0 1200 406\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
+       "<!-- Flame graph stack visualization. See https://github.com/brendangregg/FlameGraph for latest version, and http://www.brendangregg.com/flamegraphs.html for examples. -->\n",
+       "<!-- NOTES:  -->\n",
+       "<defs>\n",
+       "\t<linearGradient id=\"background\" y1=\"0\" y2=\"1\" x1=\"0\" x2=\"0\" >\n",
+       "\t\t<stop stop-color=\"#eeeeee\" offset=\"5%\" />\n",
+       "\t\t<stop stop-color=\"#eeeeb0\" offset=\"95%\" />\n",
+       "\t</linearGradient>\n",
+       "</defs>\n",
+       "<style type=\"text/css\">\n",
+       "\ttext { font-family:Verdana; font-size:12px; fill:rgb(0,0,0); }\n",
+       "\t#search { opacity:0.1; cursor:pointer; }\n",
+       "\t#search:hover, #search.show { opacity:1; }\n",
+       "\t#subtitle { text-anchor:middle; font-color:rgb(160,160,160); }\n",
+       "\t#title { text-anchor:middle; font-size:17px}\n",
+       "\t#unzoom { cursor:pointer; }\n",
+       "\t#frames > *:hover { stroke:black; stroke-width:0.5; cursor:pointer; }\n",
+       "\t.hide { display:none; }\n",
+       "\t.parent { opacity:0.5; }\n",
+       "</style>\n",
+       "<script type=\"text/ecmascript\">\n",
+       "<![CDATA[\n",
+       "\t\"use strict\";\n",
+       "\tvar details, searchbtn, unzoombtn, matchedtxt, svg, searching;\n",
+       "\tfunction init(evt) {\n",
+       "\t\tdetails = document.getElementById(\"details\").firstChild;\n",
+       "\t\tsearchbtn = document.getElementById(\"search\");\n",
+       "\t\tunzoombtn = document.getElementById(\"unzoom\");\n",
+       "\t\tmatchedtxt = document.getElementById(\"matched\");\n",
+       "\t\tsvg = document.getElementsByTagName(\"svg\")[0];\n",
+       "\t\tsearching = 0;\n",
+       "\t}\n",
+       "\n",
+       "\twindow.addEventListener(\"click\", function(e) {\n",
+       "\t\tvar target = find_group(e.target);\n",
+       "\t\tif (target) {\n",
+       "\t\t\tif (target.nodeName == \"a\") {\n",
+       "\t\t\t\tif (e.ctrlKey === false) return;\n",
+       "\t\t\t\te.preventDefault();\n",
+       "\t\t\t}\n",
+       "\t\t\tif (target.classList.contains(\"parent\")) unzoom();\n",
+       "\t\t\tzoom(target);\n",
+       "\t\t}\n",
+       "\t\telse if (e.target.id == \"unzoom\") unzoom();\n",
+       "\t\telse if (e.target.id == \"search\") search_prompt();\n",
+       "\t}, false)\n",
+       "\n",
+       "\t// mouse-over for info\n",
+       "\t// show\n",
+       "\twindow.addEventListener(\"mouseover\", function(e) {\n",
+       "\t\tvar target = find_group(e.target);\n",
+       "\t\tif (target) details.nodeValue = \"Function: \" + g_to_text(target);\n",
+       "\t}, false)\n",
+       "\n",
+       "\t// clear\n",
+       "\twindow.addEventListener(\"mouseout\", function(e) {\n",
+       "\t\tvar target = find_group(e.target);\n",
+       "\t\tif (target) details.nodeValue = ' ';\n",
+       "\t}, false)\n",
+       "\n",
+       "\t// ctrl-F for search\n",
+       "\twindow.addEventListener(\"keydown\",function (e) {\n",
+       "\t\tif (e.keyCode === 114 || (e.ctrlKey && e.keyCode === 70)) {\n",
+       "\t\t\te.preventDefault();\n",
+       "\t\t\tsearch_prompt();\n",
+       "\t\t}\n",
+       "\t}, false)\n",
+       "\n",
+       "\t// functions\n",
+       "\tfunction find_child(node, selector) {\n",
+       "\t\tvar children = node.querySelectorAll(selector);\n",
+       "\t\tif (children.length) return children[0];\n",
+       "\t\treturn;\n",
+       "\t}\n",
+       "\tfunction find_group(node) {\n",
+       "\t\tvar parent = node.parentElement;\n",
+       "\t\tif (!parent) return;\n",
+       "\t\tif (parent.id == \"frames\") return node;\n",
+       "\t\treturn find_group(parent);\n",
+       "\t}\n",
+       "\tfunction orig_save(e, attr, val) {\n",
+       "\t\tif (e.attributes[\"_orig_\" + attr] != undefined) return;\n",
+       "\t\tif (e.attributes[attr] == undefined) return;\n",
+       "\t\tif (val == undefined) val = e.attributes[attr].value;\n",
+       "\t\te.setAttribute(\"_orig_\" + attr, val);\n",
+       "\t}\n",
+       "\tfunction orig_load(e, attr) {\n",
+       "\t\tif (e.attributes[\"_orig_\"+attr] == undefined) return;\n",
+       "\t\te.attributes[attr].value = e.attributes[\"_orig_\" + attr].value;\n",
+       "\t\te.removeAttribute(\"_orig_\"+attr);\n",
+       "\t}\n",
+       "\tfunction g_to_text(e) {\n",
+       "\t\tvar text = find_child(e, \"title\").firstChild.nodeValue;\n",
+       "\t\treturn (text)\n",
+       "\t}\n",
+       "\tfunction g_to_func(e) {\n",
+       "\t\tvar func = g_to_text(e);\n",
+       "\t\t// if there's any manipulation we want to do to the function\n",
+       "\t\t// name before it's searched, do it here before returning.\n",
+       "\t\treturn (func);\n",
+       "\t}\n",
+       "\tfunction update_text(e) {\n",
+       "\t\tvar r = find_child(e, \"rect\");\n",
+       "\t\tvar t = find_child(e, \"text\");\n",
+       "\t\tvar w = parseFloat(r.attributes.width.value) -3;\n",
+       "\t\tvar txt = find_child(e, \"title\").textContent.replace(/\\([^(]*\\)$/,\"\");\n",
+       "\t\tt.attributes.x.value = parseFloat(r.attributes.x.value) + 3;\n",
+       "\n",
+       "\t\t// Smaller than this size won't fit anything\n",
+       "\t\tif (w < 2 * 12 * 0.59) {\n",
+       "\t\t\tt.textContent = \"\";\n",
+       "\t\t\treturn;\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tt.textContent = txt;\n",
+       "\t\t// Fit in full text width\n",
+       "\t\tif (/^ *$/.test(txt) || t.getSubStringLength(0, txt.length) < w)\n",
+       "\t\t\treturn;\n",
+       "\n",
+       "\t\tfor (var x = txt.length - 2; x > 0; x--) {\n",
+       "\t\t\tif (t.getSubStringLength(0, x + 2) <= w) {\n",
+       "\t\t\t\tt.textContent = txt.substring(0, x) + \"..\";\n",
+       "\t\t\t\treturn;\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\t\tt.textContent = \"\";\n",
+       "\t}\n",
+       "\n",
+       "\t// zoom\n",
+       "\tfunction zoom_reset(e) {\n",
+       "\t\tif (e.attributes != undefined) {\n",
+       "\t\t\torig_load(e, \"x\");\n",
+       "\t\t\torig_load(e, \"width\");\n",
+       "\t\t}\n",
+       "\t\tif (e.childNodes == undefined) return;\n",
+       "\t\tfor (var i = 0, c = e.childNodes; i < c.length; i++) {\n",
+       "\t\t\tzoom_reset(c[i]);\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\tfunction zoom_child(e, x, ratio) {\n",
+       "\t\tif (e.attributes != undefined) {\n",
+       "\t\t\tif (e.attributes.x != undefined) {\n",
+       "\t\t\t\torig_save(e, \"x\");\n",
+       "\t\t\t\te.attributes.x.value = (parseFloat(e.attributes.x.value) - x - 10) * ratio + 10;\n",
+       "\t\t\t\tif (e.tagName == \"text\")\n",
+       "\t\t\t\t\te.attributes.x.value = find_child(e.parentNode, \"rect[x]\").attributes.x.value + 3;\n",
+       "\t\t\t}\n",
+       "\t\t\tif (e.attributes.width != undefined) {\n",
+       "\t\t\t\torig_save(e, \"width\");\n",
+       "\t\t\t\te.attributes.width.value = parseFloat(e.attributes.width.value) * ratio;\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (e.childNodes == undefined) return;\n",
+       "\t\tfor (var i = 0, c = e.childNodes; i < c.length; i++) {\n",
+       "\t\t\tzoom_child(c[i], x - 10, ratio);\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\tfunction zoom_parent(e) {\n",
+       "\t\tif (e.attributes) {\n",
+       "\t\t\tif (e.attributes.x != undefined) {\n",
+       "\t\t\t\torig_save(e, \"x\");\n",
+       "\t\t\t\te.attributes.x.value = 10;\n",
+       "\t\t\t}\n",
+       "\t\t\tif (e.attributes.width != undefined) {\n",
+       "\t\t\t\torig_save(e, \"width\");\n",
+       "\t\t\t\te.attributes.width.value = parseInt(svg.width.baseVal.value) - (10 * 2);\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\t\tif (e.childNodes == undefined) return;\n",
+       "\t\tfor (var i = 0, c = e.childNodes; i < c.length; i++) {\n",
+       "\t\t\tzoom_parent(c[i]);\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\tfunction zoom(node) {\n",
+       "\t\tvar attr = find_child(node, \"rect\").attributes;\n",
+       "\t\tvar width = parseFloat(attr.width.value);\n",
+       "\t\tvar xmin = parseFloat(attr.x.value);\n",
+       "\t\tvar xmax = parseFloat(xmin + width);\n",
+       "\t\tvar ymin = parseFloat(attr.y.value);\n",
+       "\t\tvar ratio = (svg.width.baseVal.value - 2 * 10) / width;\n",
+       "\n",
+       "\t\t// XXX: Workaround for JavaScript float issues (fix me)\n",
+       "\t\tvar fudge = 0.0001;\n",
+       "\n",
+       "\t\tunzoombtn.classList.remove(\"hide\");\n",
+       "\n",
+       "\t\tvar el = document.getElementById(\"frames\").children;\n",
+       "\t\tfor (var i = 0; i < el.length; i++) {\n",
+       "\t\t\tvar e = el[i];\n",
+       "\t\t\tvar a = find_child(e, \"rect\").attributes;\n",
+       "\t\t\tvar ex = parseFloat(a.x.value);\n",
+       "\t\t\tvar ew = parseFloat(a.width.value);\n",
+       "\t\t\tvar upstack;\n",
+       "\t\t\t// Is it an ancestor\n",
+       "\t\t\tif (1 == 0) {\n",
+       "\t\t\t\tupstack = parseFloat(a.y.value) > ymin;\n",
+       "\t\t\t} else {\n",
+       "\t\t\t\tupstack = parseFloat(a.y.value) < ymin;\n",
+       "\t\t\t}\n",
+       "\t\t\tif (upstack) {\n",
+       "\t\t\t\t// Direct ancestor\n",
+       "\t\t\t\tif (ex <= xmin && (ex+ew+fudge) >= xmax) {\n",
+       "\t\t\t\t\te.classList.add(\"parent\");\n",
+       "\t\t\t\t\tzoom_parent(e);\n",
+       "\t\t\t\t\tupdate_text(e);\n",
+       "\t\t\t\t}\n",
+       "\t\t\t\t// not in current path\n",
+       "\t\t\t\telse\n",
+       "\t\t\t\t\te.classList.add(\"hide\");\n",
+       "\t\t\t}\n",
+       "\t\t\t// Children maybe\n",
+       "\t\t\telse {\n",
+       "\t\t\t\t// no common path\n",
+       "\t\t\t\tif (ex < xmin || ex + fudge >= xmax) {\n",
+       "\t\t\t\t\te.classList.add(\"hide\");\n",
+       "\t\t\t\t}\n",
+       "\t\t\t\telse {\n",
+       "\t\t\t\t\tzoom_child(e, xmin, ratio);\n",
+       "\t\t\t\t\tupdate_text(e);\n",
+       "\t\t\t\t}\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\tfunction unzoom() {\n",
+       "\t\tunzoombtn.classList.add(\"hide\");\n",
+       "\t\tvar el = document.getElementById(\"frames\").children;\n",
+       "\t\tfor(var i = 0; i < el.length; i++) {\n",
+       "\t\t\tel[i].classList.remove(\"parent\");\n",
+       "\t\t\tel[i].classList.remove(\"hide\");\n",
+       "\t\t\tzoom_reset(el[i]);\n",
+       "\t\t\tupdate_text(el[i]);\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\t// search\n",
+       "\tfunction reset_search() {\n",
+       "\t\tvar el = document.querySelectorAll(\"#frames rect\");\n",
+       "\t\tfor (var i = 0; i < el.length; i++) {\n",
+       "\t\t\torig_load(el[i], \"fill\")\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\tfunction search_prompt() {\n",
+       "\t\tif (!searching) {\n",
+       "\t\t\tvar term = prompt(\"Enter a search term (regexp \" +\n",
+       "\t\t\t    \"allowed, eg: ^ext4_)\", \"\");\n",
+       "\t\t\tif (term != null) {\n",
+       "\t\t\t\tsearch(term)\n",
+       "\t\t\t}\n",
+       "\t\t} else {\n",
+       "\t\t\treset_search();\n",
+       "\t\t\tsearching = 0;\n",
+       "\t\t\tsearchbtn.classList.remove(\"show\");\n",
+       "\t\t\tsearchbtn.firstChild.nodeValue = \"Search\"\n",
+       "\t\t\tmatchedtxt.classList.add(\"hide\");\n",
+       "\t\t\tmatchedtxt.firstChild.nodeValue = \"\"\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\tfunction search(term) {\n",
+       "\t\tvar re = new RegExp(term);\n",
+       "\t\tvar el = document.getElementById(\"frames\").children;\n",
+       "\t\tvar matches = new Object();\n",
+       "\t\tvar maxwidth = 0;\n",
+       "\t\tfor (var i = 0; i < el.length; i++) {\n",
+       "\t\t\tvar e = el[i];\n",
+       "\t\t\tvar func = g_to_func(e);\n",
+       "\t\t\tvar rect = find_child(e, \"rect\");\n",
+       "\t\t\tif (func == null || rect == null)\n",
+       "\t\t\t\tcontinue;\n",
+       "\n",
+       "\t\t\t// Save max width. Only works as we have a root frame\n",
+       "\t\t\tvar w = parseFloat(rect.attributes.width.value);\n",
+       "\t\t\tif (w > maxwidth)\n",
+       "\t\t\t\tmaxwidth = w;\n",
+       "\n",
+       "\t\t\tif (func.match(re)) {\n",
+       "\t\t\t\t// highlight\n",
+       "\t\t\t\tvar x = parseFloat(rect.attributes.x.value);\n",
+       "\t\t\t\torig_save(rect, \"fill\");\n",
+       "\t\t\t\trect.attributes.fill.value = \"rgb(230,0,230)\";\n",
+       "\n",
+       "\t\t\t\t// remember matches\n",
+       "\t\t\t\tif (matches[x] == undefined) {\n",
+       "\t\t\t\t\tmatches[x] = w;\n",
+       "\t\t\t\t} else {\n",
+       "\t\t\t\t\tif (w > matches[x]) {\n",
+       "\t\t\t\t\t\t// overwrite with parent\n",
+       "\t\t\t\t\t\tmatches[x] = w;\n",
+       "\t\t\t\t\t}\n",
+       "\t\t\t\t}\n",
+       "\t\t\t\tsearching = 1;\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\t\tif (!searching)\n",
+       "\t\t\treturn;\n",
+       "\n",
+       "\t\tsearchbtn.classList.add(\"show\");\n",
+       "\t\tsearchbtn.firstChild.nodeValue = \"Reset Search\";\n",
+       "\n",
+       "\t\t// calculate percent matched, excluding vertical overlap\n",
+       "\t\tvar count = 0;\n",
+       "\t\tvar lastx = -1;\n",
+       "\t\tvar lastw = 0;\n",
+       "\t\tvar keys = Array();\n",
+       "\t\tfor (k in matches) {\n",
+       "\t\t\tif (matches.hasOwnProperty(k))\n",
+       "\t\t\t\tkeys.push(k);\n",
+       "\t\t}\n",
+       "\t\t// sort the matched frames by their x location\n",
+       "\t\t// ascending, then width descending\n",
+       "\t\tkeys.sort(function(a, b){\n",
+       "\t\t\treturn a - b;\n",
+       "\t\t});\n",
+       "\t\t// Step through frames saving only the biggest bottom-up frames\n",
+       "\t\t// thanks to the sort order. This relies on the tree property\n",
+       "\t\t// where children are always smaller than their parents.\n",
+       "\t\tvar fudge = 0.0001;\t// JavaScript floating point\n",
+       "\t\tfor (var k in keys) {\n",
+       "\t\t\tvar x = parseFloat(keys[k]);\n",
+       "\t\t\tvar w = matches[keys[k]];\n",
+       "\t\t\tif (x >= lastx + lastw - fudge) {\n",
+       "\t\t\t\tcount += w;\n",
+       "\t\t\t\tlastx = x;\n",
+       "\t\t\t\tlastw = w;\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\t\t// display matched percent\n",
+       "\t\tmatchedtxt.classList.remove(\"hide\");\n",
+       "\t\tvar pct = 100 * count / maxwidth;\n",
+       "\t\tif (pct != 100) pct = pct.toFixed(1)\n",
+       "\t\tmatchedtxt.firstChild.nodeValue = \"Matched: \" + pct + \"%\";\n",
+       "\t}\n",
+       "]]>\n",
+       "</script>\n",
+       "<rect x=\"0.0\" y=\"0\" width=\"1200.0\" height=\"406.0\" fill=\"url(#background)\"  />\n",
+       "<text id=\"title\" x=\"600.00\" y=\"24\" >Icicle Graph</text>\n",
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+       "<text id=\"unzoom\" x=\"10.00\" y=\"24\" class=\"hide\">Reset Zoom</text>\n",
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+      ],
+      "text/plain": [
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+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "# Load the JSON file into a Pandas DataFrame\n",
-    "pd_df = pd.read_json(file_path, lines=True)\n",
-    "pd_memory_usage = pd_df.memory_usage(deep=True).sum()\n",
-    "\n",
-    "# Get the number of rows in the Pandas DataFrame\n",
-    "num_rows_pandas = pd_df.shape[0]\n",
-    "\n",
-    "print(pd_df)\n",
-    "\n",
-    "print(f\"Pandas DataFarme number of rows:  {num_rows_pandas}\")\n",
-    "print(f\"Pandas DataFrame memory usage: {pd_memory_usage / (1024 ** 2):.2f} MB\")"
+    "%%flame -q --inverted\n",
+    "test_pandas()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "4d47d7ec-d3f1-4fac-9933-ec330651a6f4",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                    @timestamp host.hostname                    host.ip  \\\n",
+      "0     2024-05-15T15:57:18.471Z         win10  fe80::24b4:3691:44a6:38a1   \n",
+      "1     2024-05-15T15:57:18.471Z         win10  fe80::24b4:3691:44a6:38a1   \n",
+      "2     2024-05-15T15:57:18.471Z         win10  fe80::24b4:3691:44a6:38a1   \n",
+      "3     2024-05-15T15:57:18.471Z         win10  fe80::24b4:3691:44a6:38a1   \n",
+      "4     2024-05-15T15:57:18.471Z         win10  fe80::24b4:3691:44a6:38a1   \n",
+      "...                        ...           ...                        ...   \n",
+      "7995  2024-05-15T16:10:07.128Z         win10  fe80::24b4:3691:44a6:38a1   \n",
+      "7996  2024-05-15T16:10:07.136Z         win10  fe80::24b4:3691:44a6:38a1   \n",
+      "7997  2024-05-15T16:10:07.136Z         win10  fe80::24b4:3691:44a6:38a1   \n",
+      "7998  2024-05-15T16:10:07.149Z         win10  fe80::24b4:3691:44a6:38a1   \n",
+      "7999  2024-05-15T16:10:07.149Z         win10  fe80::24b4:3691:44a6:38a1   \n",
+      "\n",
+      "        log.level  winlog.event_id                               winlog.task  \\\n",
+      "0     information               13  Registry value set (rule: RegistryEvent)   \n",
+      "1     information               13  Registry value set (rule: RegistryEvent)   \n",
+      "2     information               13  Registry value set (rule: RegistryEvent)   \n",
+      "3     information               13  Registry value set (rule: RegistryEvent)   \n",
+      "4     information               13  Registry value set (rule: RegistryEvent)   \n",
+      "...           ...              ...                                       ...   \n",
+      "7995  information             4663                         Removable Storage   \n",
+      "7996  information             4663                         Removable Storage   \n",
+      "7997  information             4663                         Removable Storage   \n",
+      "7998  information             4663                         Removable Storage   \n",
+      "7999  information             4663                         Removable Storage   \n",
+      "\n",
+      "                                                message  \n",
+      "0     Registry value set:\\nRuleName: InvDB-Ver\\nEven...  \n",
+      "1     Registry value set:\\nRuleName: InvDB-Path\\nEve...  \n",
+      "2     Registry value set:\\nRuleName: InvDB-Pub\\nEven...  \n",
+      "3     Registry value set:\\nRuleName: InvDB-CompileTi...  \n",
+      "4     Registry value set:\\nRuleName: InvDB-Ver\\nEven...  \n",
+      "...                                                 ...  \n",
+      "7995  An attempt was made to access an object.\\n\\nSu...  \n",
+      "7996  An attempt was made to access an object.\\n\\nSu...  \n",
+      "7997  An attempt was made to access an object.\\n\\nSu...  \n",
+      "7998  An attempt was made to access an object.\\n\\nSu...  \n",
+      "7999  An attempt was made to access an object.\\n\\nSu...  \n",
+      "\n",
+      "[8000 rows x 7 columns]\n",
+      "Pandas DataFarme number of rows:  8000\n",
+      "Pandas DataFrame memory usage: 7.56 MB\n",
+      " "
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "         46681 function calls (46472 primitive calls) in 0.113 seconds\n",
+       "\n",
+       "   Ordered by: internal time\n",
+       "\n",
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%prun\n",
+    "test_pandas()"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "04937c37-16b4-4e03-9cf2-ac704e48f60e",
+   "id": "18519e3f-6d5e-477a-a3e5-1fd0e0b30fcc",
    "metadata": {},
    "source": [
-    "# Result\n",
+    "# Results\n",
     "\n",
-    "Polars and Pandas borth processed the same data (8000 rows, categorical data represented as strings).\n",
-    "\n"
+    "Polars and Pandas both processed the same data (8000 rows, categorical data represented as strings).\n",
+    "\n",
+    "\n",
+    "## Versions\n",
+    "\n",
+    "\n",
+    "* Pandas: 2.1.4\n",
+    "* Polars: 0.20.26\n",
+    "\n",
+    "## Memory usage comparison\n",
+    "\n",
+    "File on disk: 6,0 MB (du -sh), 8000 rows, 7 columns. \n",
+    "\n",
+    "* Polars: 4,76 MB\n",
+    "* Pandas: 7,56 MB\n",
+    "\n",
+    "-> Polars was more memory efficient: ~ 1,6 times less memory\n",
+    "\n",
+    "\n",
+    "## Profile comparison\n",
+    "\n",
+    "* Polars: 256 function calls (253 primitive calls) in 0.020 seconds\n",
+    "* Pandas: 46681 function calls (46472 primitive calls) in 0.113 seconds\n",
+    "\n",
+    "-> Polars was ~ 5,6 times faster and needed ~ 180x less function and primitive calls. \n",
+    "\n",
+    "\n",
+    "## Conclusion\n",
+    "\n",
+    "Polars should be used whenever possible."
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bdbf106d-4117-491b-9773-85dcd9d5914c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {