From 029458c2b3db900284eecff7aec6197ab279d53f Mon Sep 17 00:00:00 2001
From: bytedream <bytedream@protonmail.com>
Date: Tue, 5 Nov 2024 17:16:34 +0100
Subject: [PATCH] switch last and first price positions

---
 plot.ipynb | 123 ++++++++++++++++++++++++++++-------------------------
 1 file changed, 64 insertions(+), 59 deletions(-)

diff --git a/plot.ipynb b/plot.ipynb
index e5a6017..8b57064 100644
--- a/plot.ipynb
+++ b/plot.ipynb
@@ -6,8 +6,8 @@
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2024-10-02T15:04:24.676647Z",
-     "start_time": "2024-10-02T15:04:24.261802Z"
+     "end_time": "2024-11-05T16:07:15.513969Z",
+     "start_time": "2024-11-05T16:07:15.067921Z"
     }
    },
    "source": [
@@ -21,7 +21,12 @@
    "execution_count": 1
   },
   {
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-11-05T16:07:50.716467Z",
+     "start_time": "2024-11-05T16:07:15.529909Z"
+    }
+   },
    "cell_type": "code",
    "source": [
     "sqlite_file = input(\"Sqlite file: \")\n",
@@ -29,7 +34,7 @@
    ],
    "id": "2a888e85f7940c39",
    "outputs": [],
-   "execution_count": null
+   "execution_count": 2
   },
   {
    "metadata": {},
@@ -77,46 +82,11 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-10-02T17:15:27.885991Z",
-     "start_time": "2024-10-02T17:15:27.304499Z"
+     "end_time": "2024-11-05T16:15:04.396443Z",
+     "start_time": "2024-11-05T16:15:04.040184Z"
     }
    },
    "cell_type": "code",
-   "source": [
-    "query = '''\n",
-    "SELECT timestamp, price, filament_variant_id, region\n",
-    "    FROM prices\n",
-    "    LEFT JOIN measurements ON prices.measurement_id = measurements.id\n",
-    "    LEFT JOIN filament_variants ON prices.filament_variant_id = filament_variants.id\n",
-    "    LEFT JOIN filaments ON filament_variants.filament_id = filaments.id\n",
-    "'''\n",
-    "df = pd.read_sql(query, conn)\n",
-    "\n",
-    "# average price changes\n",
-    "fig = go.Figure()\n",
-    "for region in list(df['region'].dropna().unique()):\n",
-    "    changed = 0\n",
-    "    unchanged = 0\n",
-    "    price_changes = []\n",
-    "    \n",
-    "    for _, rows in df.query(f'(price > 0) and (region == \"{region}\")').groupby('filament_variant_id'):\n",
-    "        if len(rows) == 1:\n",
-    "            unchanged += 1\n",
-    "            continue\n",
-    "        else:\n",
-    "            changed += 1\n",
-    "            \n",
-    "        first_price = rows.iloc[0].iloc[1]\n",
-    "        last_price = rows.iloc[-1].iloc[1]\n",
-    "        \n",
-    "        price_changes.append((last_price - first_price) / first_price * 100)\n",
-    "        \n",
-    "    price_changes_percent = sum(price_changes) / len(price_changes)\n",
-    "    fig.add_trace(go.Bar(name=region, text=f'{price_changes_percent:.2f}%', x=[region], y=[price_changes_percent]))\n",
-    "fig.update_layout(title='Average price changes', xaxis_title='Region', yaxis_title='Average price change in %', yaxis_range=[-100, 100])\n",
-    "fig.show()"
-   ],
-   "id": "820c18682316ff52",
    "outputs": [
     {
      "data": {
@@ -124,78 +94,78 @@
        "data": [
         {
          "name": "global",
-         "text": "-18.46%",
+         "text": "22.88%",
          "x": [
           "global"
          ],
          "y": [
-          -18.458616872672106
+          22.883728044845427
          ],
          "type": "bar"
         },
         {
          "name": "us",
-         "text": "-8.48%",
+         "text": "11.00%",
          "x": [
           "us"
          ],
          "y": [
-          -8.480182725236773
+          10.997112892532591
          ],
          "type": "bar"
         },
         {
          "name": "eu",
-         "text": "-13.49%",
+         "text": "18.65%",
          "x": [
           "eu"
          ],
          "y": [
-          -13.485178053111488
+          18.65437220343727
          ],
          "type": "bar"
         },
         {
          "name": "uk",
-         "text": "-15.14%",
+         "text": "19.59%",
          "x": [
           "uk"
          ],
          "y": [
-          -15.144255958319178
+          19.591141813187818
          ],
          "type": "bar"
         },
         {
          "name": "au",
-         "text": "-15.87%",
+         "text": "19.66%",
          "x": [
           "au"
          ],
          "y": [
-          -15.872951435144182
+          19.65659002293262
          ],
          "type": "bar"
         },
         {
          "name": "ca",
-         "text": "-13.73%",
+         "text": "17.50%",
          "x": [
           "ca"
          ],
          "y": [
-          -13.726501965955093
+          17.503974848392822
          ],
          "type": "bar"
         },
         {
          "name": "jp",
-         "text": "-20.16%",
+         "text": "24.41%",
          "x": [
           "jp"
          ],
          "y": [
-          -20.155943058563096
+          24.405606489166075
          ],
          "type": "bar"
         }
@@ -1031,7 +1001,7 @@
           "text": "Average price change in %"
          },
          "range": [
-          -100,
+          0,
           100
          ]
         },
@@ -1049,9 +1019,9 @@
        }
       },
       "text/html": [
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+       "<div>                            <div id=\"d93ab98d-c3b3-4aa7-a01f-c09bbded9582\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"d93ab98d-c3b3-4aa7-a01f-c09bbded9582\")) {                    Plotly.newPlot(                        \"d93ab98d-c3b3-4aa7-a01f-c09bbded9582\",                        [{\"name\":\"global\",\"text\":\"22.88%\",\"x\":[\"global\"],\"y\":[22.883728044845427],\"type\":\"bar\"},{\"name\":\"us\",\"text\":\"11.00%\",\"x\":[\"us\"],\"y\":[10.997112892532591],\"type\":\"bar\"},{\"name\":\"eu\",\"text\":\"18.65%\",\"x\":[\"eu\"],\"y\":[18.65437220343727],\"type\":\"bar\"},{\"name\":\"uk\",\"text\":\"19.59%\",\"x\":[\"uk\"],\"y\":[19.591141813187818],\"type\":\"bar\"},{\"name\":\"au\",\"text\":\"19.66%\",\"x\":[\"au\"],\"y\":[19.65659002293262],\"type\":\"bar\"},{\"name\":\"ca\",\"text\":\"17.50%\",\"x\":[\"ca\"],\"y\":[17.503974848392822],\"type\":\"bar\"},{\"name\":\"jp\",\"text\":\"24.41%\",\"x\":[\"jp\"],\"y\":[24.405606489166075],\"type\":\"bar\"}],                        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        "                            \n",
-       "var gd = document.getElementById('e032e4f9-8ad0-4e27-b3ae-5bec957a9f04');\n",
+       "var gd = document.getElementById('d93ab98d-c3b3-4aa7-a01f-c09bbded9582');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -1080,7 +1050,42 @@
      "output_type": "display_data"
     }
    ],
-   "execution_count": 70
+   "execution_count": 6,
+   "source": [
+    "query = '''\n",
+    "SELECT timestamp, price, filament_variant_id, region\n",
+    "    FROM prices\n",
+    "    LEFT JOIN measurements ON prices.measurement_id = measurements.id\n",
+    "    LEFT JOIN filament_variants ON prices.filament_variant_id = filament_variants.id\n",
+    "    LEFT JOIN filaments ON filament_variants.filament_id = filaments.id\n",
+    "'''\n",
+    "df = pd.read_sql(query, conn)\n",
+    "\n",
+    "# average price changes\n",
+    "fig = go.Figure()\n",
+    "for region in list(df['region'].dropna().unique()):\n",
+    "    changed = 0\n",
+    "    unchanged = 0\n",
+    "    price_changes = []\n",
+    "    \n",
+    "    for _, rows in df.query(f'(price > 0) and (region == \"{region}\")').groupby('filament_variant_id'):\n",
+    "        if len(rows) == 1:\n",
+    "            unchanged += 1\n",
+    "            continue\n",
+    "        else:\n",
+    "            changed += 1\n",
+    "            \n",
+    "        last_price = rows.iloc[0].iloc[1]\n",
+    "        first_price = rows.iloc[-1].iloc[1]\n",
+    "        \n",
+    "        price_changes.append((last_price - first_price) / first_price * 100)\n",
+    "        \n",
+    "    price_changes_percent = sum(price_changes) / len(price_changes)\n",
+    "    fig.add_trace(go.Bar(name=region, text=f'{price_changes_percent:.2f}%', x=[region], y=[price_changes_percent]))\n",
+    "fig.update_layout(title='Average price changes', xaxis_title='Region', yaxis_title='Average price changes in %', yaxis_range=[0, 100])\n",
+    "fig.show()"
+   ],
+   "id": "820c18682316ff52"
   }
  ],
  "metadata": {