From 299a93dba9c12236b27a806afa70a61c5c9c3b20 Mon Sep 17 00:00:00 2001
From: Raphael Jolivet <raphael.jolivet@mines-paristech.fr>
Date: Tue, 27 Feb 2024 18:53:29 +0100
Subject: [PATCH] Fix axis : change _safe_axis fix free_symbols on AxisDict

---
 example-notebook.ipynb     | 507 ++++++++++++++++---------------------
 lca_algebraic/axis_dict.py |   2 +-
 lca_algebraic/lca.py       |   2 +-
 test/unit_test.py          |   6 +-
 4 files changed, 218 insertions(+), 299 deletions(-)

diff --git a/example-notebook.ipynb b/example-notebook.ipynb
index ae05505..7219684 100644
--- a/example-notebook.ipynb
+++ b/example-notebook.ipynb
@@ -72,28 +72,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "56a7fd5e",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:47:20.904026772Z",
-     "start_time": "2024-02-26T16:47:20.828582338Z"
+     "end_time": "2024-02-27T17:34:39.589653Z",
+     "start_time": "2024-02-27T17:34:36.253928Z"
     }
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The autoreload extension is already loaded. To reload it, use:\n",
-      "  %reload_ext autoreload\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Those two lines are for dev only : they watch imported libraries for changes\n",
-    "%load_ext autoreload\n",
-    "%autoreload 2\n",
+    "#%load_ext autoreload\n",
+    "#%autoreload 2\n",
     "\n",
     "import brightway2 as bw\n",
     "import os \n",
@@ -119,13 +110,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "id": "b1cd4f628163aa53",
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:54:21.727678513Z",
-     "start_time": "2024-02-26T16:48:06.146924110Z"
+     "end_time": "2024-02-27T17:34:39.624109Z",
+     "start_time": "2024-02-27T17:34:39.591342Z"
     }
    },
    "outputs": [
@@ -133,59 +124,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Applying strategy: normalize_units\n",
-      "Applying strategy: drop_unspecified_subcategories\n",
-      "Applying strategy: ensure_categories_are_tuples\n",
-      "Applied 3 strategies in 0.01 seconds\n",
-      "4709 datasets\n",
-      "0 exchanges\n",
-      "0 unlinked exchanges\n",
-      "  \n",
-      "Warning: No valid output stream.\n",
-      "Title: Writing activities to SQLite3 database:\n",
-      "  Started: 02/26/2024 17:49:42\n",
-      "  Finished: 02/26/2024 17:49:42\n",
-      "  Total time elapsed: 00:00:00\n",
-      "  CPU %: 93.90\n",
-      "  Memory %: 2.36\n",
-      "Created database: ecoinvent-3.9-biosphere\n",
-      "Extracting XML data from 21255 datasets\n",
-      "Extracted 21255 datasets in 54.31 seconds\n",
-      "Applying strategy: normalize_units\n",
-      "Applying strategy: update_ecoinvent_locations\n",
-      "Applying strategy: remove_zero_amount_coproducts\n",
-      "Applying strategy: remove_zero_amount_inputs_with_no_activity\n",
-      "Applying strategy: remove_unnamed_parameters\n",
-      "Applying strategy: es2_assign_only_product_with_amount_as_reference_product\n",
-      "Applying strategy: assign_single_product_as_activity\n",
-      "Applying strategy: create_composite_code\n",
-      "Applying strategy: drop_unspecified_subcategories\n",
-      "Applying strategy: fix_ecoinvent_flows_pre35\n",
-      "Applying strategy: drop_temporary_outdated_biosphere_flows\n",
-      "Applying strategy: link_biosphere_by_flow_uuid\n",
-      "Applying strategy: link_internal_technosphere_by_composite_code\n",
-      "Applying strategy: delete_exchanges_missing_activity\n",
-      "Applying strategy: delete_ghost_exchanges\n",
-      "Applying strategy: remove_uncertainty_from_negative_loss_exchanges\n",
-      "Applying strategy: fix_unreasonably_high_lognormal_uncertainties\n",
-      "Applying strategy: convert_activity_parameters_to_list\n",
-      "Applying strategy: add_cpc_classification_from_single_reference_product\n",
-      "Applying strategy: delete_none_synonyms\n",
-      "Applying strategy: update_social_flows_in_older_consequential\n",
-      "Applying strategy: set_lognormal_loc_value\n",
-      "Applied 22 strategies in 7.72 seconds\n",
-      "21255 datasets\n",
-      "676292 exchanges\n",
-      "0 unlinked exchanges\n",
-      "  \n",
-      "Warning: No valid output stream.\n",
-      "Title: Writing activities to SQLite3 database:\n",
-      "  Started: 02/26/2024 17:51:03\n",
-      "  Finished: 02/26/2024 17:51:40\n",
-      "  Total time elapsed: 00:00:36\n",
-      "  CPU %: 99.80\n",
-      "  Memory %: 21.73\n",
-      "Created database: ecoinvent-3.9-cutoff\n"
+      "Initial setup already done, skipping\n"
      ]
     }
    ],
@@ -216,21 +155,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "id": "50ed7cab",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:55:35.891666654Z",
-     "start_time": "2024-02-26T16:55:35.720128129Z"
+     "end_time": "2024-02-27T17:34:39.688620Z",
+     "start_time": "2024-02-27T17:34:39.625506Z"
     }
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[WARNING] Db MyForeground was here. Reseting it\n"
+     ]
+    },
     {
      "data": {
       "text/plain": "                        backend  nb_activities        type\nname                                                      \necoinvent-3.9-biosphere  sqlite           4709   biosphere\necoinvent-3.9-cutoff     sqlite          21255  background\nMyForeground             sqlite              0  foreground",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>backend</th>\n      <th>nb_activities</th>\n      <th>type</th>\n    </tr>\n    <tr>\n      <th>name</th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>ecoinvent-3.9-biosphere</th>\n      <td>sqlite</td>\n      <td>4709</td>\n      <td>biosphere</td>\n    </tr>\n    <tr>\n      <th>ecoinvent-3.9-cutoff</th>\n      <td>sqlite</td>\n      <td>21255</td>\n      <td>background</td>\n    </tr>\n    <tr>\n      <th>MyForeground</th>\n      <td>sqlite</td>\n      <td>0</td>\n      <td>foreground</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 5,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -270,12 +216,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "id": "f7ff05b4",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:55:41.979164624Z",
-     "start_time": "2024-02-26T16:55:41.628147336Z"
+     "end_time": "2024-02-27T17:34:40.132189Z",
+     "start_time": "2024-02-27T17:34:39.690643Z"
     }
    },
    "outputs": [
@@ -285,7 +231,7 @@
       "image/png": "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",
       "text/latex": "$\\displaystyle 2 x + 4$"
      },
-     "execution_count": 6,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -303,12 +249,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "id": "727f1ede",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:55:42.769240148Z",
-     "start_time": "2024-02-26T16:55:42.717476867Z"
+     "end_time": "2024-02-27T17:34:40.144432Z",
+     "start_time": "2024-02-27T17:34:40.133276Z"
     }
    },
    "outputs": [
@@ -318,7 +264,7 @@
       "image/png": "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",
       "text/latex": "$\\displaystyle 10$"
      },
-     "execution_count": 7,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -354,12 +300,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "id": "139e432e",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:55:45.024048695Z",
-     "start_time": "2024-02-26T16:55:44.923426872Z"
+     "end_time": "2024-02-27T17:34:40.222745Z",
+     "start_time": "2024-02-27T17:34:40.145945Z"
     }
    },
    "outputs": [],
@@ -431,12 +377,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "id": "a4604f03",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:55:47.146649068Z",
-     "start_time": "2024-02-26T16:55:47.069499301Z"
+     "end_time": "2024-02-27T17:34:40.228700Z",
+     "start_time": "2024-02-27T17:34:40.223805Z"
     }
    },
    "outputs": [
@@ -486,12 +432,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "id": "58b8ffe4",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:55:48.586454093Z",
-     "start_time": "2024-02-26T16:55:48.495858761Z"
+     "end_time": "2024-02-27T17:34:40.241710Z",
+     "start_time": "2024-02-27T17:34:40.230064Z"
     }
    },
    "outputs": [
@@ -500,7 +446,7 @@
       "text/plain": "                        backend  nb_activities        type\nname                                                      \necoinvent-3.9-biosphere  sqlite           4709   biosphere\necoinvent-3.9-cutoff     sqlite          21255  background\nMyForeground             sqlite              0  foreground",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>backend</th>\n      <th>nb_activities</th>\n      <th>type</th>\n    </tr>\n    <tr>\n      <th>name</th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>ecoinvent-3.9-biosphere</th>\n      <td>sqlite</td>\n      <td>4709</td>\n      <td>biosphere</td>\n    </tr>\n    <tr>\n      <th>ecoinvent-3.9-cutoff</th>\n      <td>sqlite</td>\n      <td>21255</td>\n      <td>background</td>\n    </tr>\n    <tr>\n      <th>MyForeground</th>\n      <td>sqlite</td>\n      <td>0</td>\n      <td>foreground</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 10,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -522,12 +468,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 9,
    "id": "92c34396",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:56:09.690972428Z",
-     "start_time": "2024-02-26T16:56:09.636427309Z"
+     "end_time": "2024-02-27T17:34:40.249157Z",
+     "start_time": "2024-02-27T17:34:40.243187Z"
     }
    },
    "outputs": [],
@@ -538,12 +484,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 10,
    "id": "fd67ea18",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:56:10.662496014Z",
-     "start_time": "2024-02-26T16:56:10.583996392Z"
+     "end_time": "2024-02-27T17:34:40.299985Z",
+     "start_time": "2024-02-27T17:34:40.253885Z"
     }
    },
    "outputs": [
@@ -581,7 +527,7 @@
      "data": {
       "text/plain": "Brightway2 SQLiteBackend: MyForeground"
      },
-     "execution_count": 14,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -605,12 +551,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 11,
    "id": "4f69859b",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:56:26.286727201Z",
-     "start_time": "2024-02-26T16:56:26.239315474Z"
+     "end_time": "2024-02-27T17:34:40.305800Z",
+     "start_time": "2024-02-27T17:34:40.301664Z"
     }
    },
    "outputs": [],
@@ -638,12 +584,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 12,
    "id": "1f0a23c5",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:56:29.840949711Z",
-     "start_time": "2024-02-26T16:56:28.511281065Z"
+     "end_time": "2024-02-27T17:34:41.783582Z",
+     "start_time": "2024-02-27T17:34:40.307518Z"
     }
    },
    "outputs": [],
@@ -687,12 +633,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 13,
    "id": "df05b063",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:56:39.629483818Z",
-     "start_time": "2024-02-26T16:56:39.470697573Z"
+     "end_time": "2024-02-27T17:34:41.855067Z",
+     "start_time": "2024-02-27T17:34:41.784623Z"
     }
    },
    "outputs": [],
@@ -730,12 +676,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 14,
    "id": "41c81245",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:56:41.927747225Z",
-     "start_time": "2024-02-26T16:56:41.737552699Z"
+     "end_time": "2024-02-27T17:34:41.973700Z",
+     "start_time": "2024-02-27T17:34:41.856221Z"
     }
    },
    "outputs": [],
@@ -773,12 +719,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 15,
    "id": "b31f672f",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:56:43.518163520Z",
-     "start_time": "2024-02-26T16:56:43.434901332Z"
+     "end_time": "2024-02-27T17:34:42.020613Z",
+     "start_time": "2024-02-27T17:34:41.974768Z"
     }
    },
    "outputs": [],
@@ -801,12 +747,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 16,
    "id": "f230219c",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:56:45.478174826Z",
-     "start_time": "2024-02-26T16:56:45.409084561Z"
+     "end_time": "2024-02-27T17:34:42.045488Z",
+     "start_time": "2024-02-27T17:34:42.022066Z"
     }
    },
    "outputs": [],
@@ -830,13 +776,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 17,
    "id": "12ab41203d7978be",
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:56:47.226522547Z",
-     "start_time": "2024-02-26T16:56:47.150222380Z"
+     "end_time": "2024-02-27T17:34:42.064871Z",
+     "start_time": "2024-02-27T17:34:42.046583Z"
     }
    },
    "outputs": [
@@ -845,7 +791,7 @@
       "text/plain": "                            first foreground activity (1.000000 kg)           \\\n                                                              input   amount   \nHeat, waste                                             Heat, waste  b + 0.2   \nOccupation, industrial area             Occupation, industrial area      3*b   \n\n                                                \n                                          unit  \nHeat, waste                          megajoule  \nOccupation, industrial area  square meter-year  ",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead tr th {\n        text-align: left;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th colspan=\"3\" halign=\"left\">first foreground activity (1.000000 kg)</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th>input</th>\n      <th>amount</th>\n      <th>unit</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Heat, waste</th>\n      <td>Heat, waste</td>\n      <td>b + 0.2</td>\n      <td>megajoule</td>\n    </tr>\n    <tr>\n      <th>Occupation, industrial area</th>\n      <td>Occupation, industrial area</td>\n      <td>3*b</td>\n      <td>square meter-year</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 21,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -863,7 +809,7 @@
       "text/plain": "                                            total_inventory (1.000000 kg)  \\\n                                                                    input   \nAluminium 2                                          Aluminium 2[RER]{FG}   \naluminium alloy production, AlMg3  aluminium alloy production, AlMg3[RER]   \nfirst foreground activity                   first foreground activity{FG}   \n\n                                                                         \n                                                       amount      unit  \nAluminium 2                        3*share_recycled_aluminium  kilogram  \naluminium alloy production, AlMg3                       0.4*a  kilogram  \nfirst foreground activity                         a + 5*b + 1        kg  ",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead tr th {\n        text-align: left;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th colspan=\"3\" halign=\"left\">total_inventory (1.000000 kg)</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th>input</th>\n      <th>amount</th>\n      <th>unit</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Aluminium 2</th>\n      <td>Aluminium 2[RER]{FG}</td>\n      <td>3*share_recycled_aluminium</td>\n      <td>kilogram</td>\n    </tr>\n    <tr>\n      <th>aluminium alloy production, AlMg3</th>\n      <td>aluminium alloy production, AlMg3[RER]</td>\n      <td>0.4*a</td>\n      <td>kilogram</td>\n    </tr>\n    <tr>\n      <th>first foreground activity</th>\n      <td>first foreground activity{FG}</td>\n      <td>a + 5*b + 1</td>\n      <td>kg</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 22,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -873,21 +819,21 @@
    ],
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:56:48.470945477Z",
-     "start_time": "2024-02-26T16:56:48.407182307Z"
+     "end_time": "2024-02-27T17:34:42.096522Z",
+     "start_time": "2024-02-27T17:34:42.066219Z"
     }
    },
    "id": "46ae9abf",
-   "execution_count": 22
+   "execution_count": 18
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 19,
    "id": "c08a45dc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:56:49.419788286Z",
-     "start_time": "2024-02-26T16:56:49.371435986Z"
+     "end_time": "2024-02-27T17:34:42.116978Z",
+     "start_time": "2024-02-27T17:34:42.098513Z"
     }
    },
    "outputs": [
@@ -896,7 +842,7 @@
       "text/plain": "                            first foreground activity (1.000000 kg)  \\\n                                                              input   \nHeat, waste                                             Heat, waste   \nOccupation, industrial area             Occupation, industrial area   \n\n                                                                  \n                                       amount               unit  \nHeat, waste                  1.70000000000000          megajoule  \nOccupation, industrial area  4.50000000000000  square meter-year  ",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead tr th {\n        text-align: left;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th colspan=\"3\" halign=\"left\">first foreground activity (1.000000 kg)</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th>input</th>\n      <th>amount</th>\n      <th>unit</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Heat, waste</th>\n      <td>Heat, waste</td>\n      <td>1.70000000000000</td>\n      <td>megajoule</td>\n    </tr>\n    <tr>\n      <th>Occupation, industrial area</th>\n      <td>Occupation, industrial area</td>\n      <td>4.50000000000000</td>\n      <td>square meter-year</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 23,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -908,21 +854,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 20,
    "id": "960585e2",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:56:50.593907835Z",
-     "start_time": "2024-02-26T16:56:50.467687538Z"
+     "end_time": "2024-02-27T17:34:42.238117Z",
+     "start_time": "2024-02-27T17:34:42.118205Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "<pandas.io.formats.style.Styler at 0x7fd1801cbb20>",
-      "text/html": "<style type=\"text/css\">\n#T_961b1_row0_col0, #T_961b1_row0_col1, #T_961b1_row0_col3, #T_961b1_row0_col4, #T_961b1_row1_col1, #T_961b1_row1_col4, #T_961b1_row3_col0, #T_961b1_row3_col1, #T_961b1_row3_col3, #T_961b1_row3_col4, #T_961b1_row5_col0, #T_961b1_row5_col3 {\n  background-color: yellow;\n}\n</style>\n<table id=\"T_961b1\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_961b1_level0_col0\" class=\"col_heading level0 col0\" colspan=\"3\">aluminium alloy production, AlMg3[RER] (1.000000 kilogram)</th>\n      <th id=\"T_961b1_level0_col3\" class=\"col_heading level0 col3\" colspan=\"3\">Aluminium 2[RER] (1.000000 kilogram)</th>\n    </tr>\n    <tr>\n      <th class=\"blank level1\" >&nbsp;</th>\n      <th id=\"T_961b1_level1_col0\" class=\"col_heading level1 col0\" >input</th>\n      <th id=\"T_961b1_level1_col1\" class=\"col_heading level1 col1\" >amount</th>\n      <th id=\"T_961b1_level1_col2\" class=\"col_heading level1 col2\" >unit</th>\n      <th id=\"T_961b1_level1_col3\" class=\"col_heading level1 col3\" >input</th>\n      <th id=\"T_961b1_level1_col4\" class=\"col_heading level1 col4\" >amount</th>\n      <th id=\"T_961b1_level1_col5\" class=\"col_heading level1 col5\" >unit</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_961b1_level0_row0\" class=\"row_heading level0 row0\" >aluminium scrap, new, Recycled Content cut-off</th>\n      <td id=\"T_961b1_row0_col0\" class=\"data row0 col0\" >nan</td>\n      <td id=\"T_961b1_row0_col1\" class=\"data row0 col1\" >nan</td>\n      <td id=\"T_961b1_row0_col2\" class=\"data row0 col2\" >nan</td>\n      <td id=\"T_961b1_row0_col3\" class=\"data row0 col3\" >aluminium scrap, new, Recycled Content cut-off</td>\n      <td id=\"T_961b1_row0_col4\" class=\"data row0 col4\" >12</td>\n      <td id=\"T_961b1_row0_col5\" class=\"data row0 col5\" >kilogram</td>\n    </tr>\n    <tr>\n      <th id=\"T_961b1_level0_row1\" class=\"row_heading level0 row1\" >aluminium, cast alloy</th>\n      <td id=\"T_961b1_row1_col0\" class=\"data row1 col0\" >market for aluminium, cast alloy</td>\n      <td id=\"T_961b1_row1_col1\" class=\"data row1 col1\" >0.965000</td>\n      <td id=\"T_961b1_row1_col2\" class=\"data row1 col2\" >kilogram</td>\n      <td id=\"T_961b1_row1_col3\" class=\"data row1 col3\" >market for aluminium, cast alloy</td>\n      <td id=\"T_961b1_row1_col4\" class=\"data row1 col4\" >0.965 - 0.965*share_recycled_aluminium</td>\n      <td id=\"T_961b1_row1_col5\" class=\"data row1 col5\" >kilogram</td>\n    </tr>\n    <tr>\n      <th id=\"T_961b1_level0_row2\" class=\"row_heading level0 row2\" >cast iron</th>\n      <td id=\"T_961b1_row2_col0\" class=\"data row2 col0\" >market for cast iron</td>\n      <td id=\"T_961b1_row2_col1\" class=\"data row2 col1\" >0.004060</td>\n      <td id=\"T_961b1_row2_col2\" class=\"data row2 col2\" >kilogram</td>\n      <td id=\"T_961b1_row2_col3\" class=\"data row2 col3\" >market for cast iron</td>\n      <td id=\"T_961b1_row2_col4\" class=\"data row2 col4\" >0.004060</td>\n      <td id=\"T_961b1_row2_col5\" class=\"data row2 col5\" >kilogram</td>\n    </tr>\n    <tr>\n      <th id=\"T_961b1_level0_row3\" class=\"row_heading level0 row3\" >chromium</th>\n      <td id=\"T_961b1_row3_col0\" class=\"data row3 col0\" >market for chromium</td>\n      <td id=\"T_961b1_row3_col1\" class=\"data row3 col1\" >0.003050</td>\n      <td id=\"T_961b1_row3_col2\" class=\"data row3 col2\" >kilogram</td>\n      <td id=\"T_961b1_row3_col3\" class=\"data row3 col3\" >market for chromium oxide, flakes</td>\n      <td id=\"T_961b1_row3_col4\" class=\"data row3 col4\" >4.000000</td>\n      <td id=\"T_961b1_row3_col5\" class=\"data row3 col5\" >kilogram</td>\n    </tr>\n    <tr>\n      <th id=\"T_961b1_level0_row4\" class=\"row_heading level0 row4\" >copper, cathode</th>\n      <td id=\"T_961b1_row4_col0\" class=\"data row4 col0\" >market for copper, cathode</td>\n      <td id=\"T_961b1_row4_col1\" class=\"data row4 col1\" >0.001020</td>\n      <td id=\"T_961b1_row4_col2\" class=\"data row4 col2\" >kilogram</td>\n      <td id=\"T_961b1_row4_col3\" class=\"data row4 col3\" >market for copper, cathode</td>\n      <td id=\"T_961b1_row4_col4\" class=\"data row4 col4\" >0.001020</td>\n      <td id=\"T_961b1_row4_col5\" class=\"data row4 col5\" >kilogram</td>\n    </tr>\n    <tr>\n      <th id=\"T_961b1_level0_row5\" class=\"row_heading level0 row5\" >electricity, medium voltage</th>\n      <td id=\"T_961b1_row5_col0\" class=\"data row5 col0\" >market group for electricity, medium voltage[RER]</td>\n      <td id=\"T_961b1_row5_col1\" class=\"data row5 col1\" >1.590000</td>\n      <td id=\"T_961b1_row5_col2\" class=\"data row5 col2\" >kilowatt hour</td>\n      <td id=\"T_961b1_row5_col3\" class=\"data row5 col3\" >elect mix{FG}</td>\n      <td id=\"T_961b1_row5_col4\" class=\"data row5 col4\" >1.590000</td>\n      <td id=\"T_961b1_row5_col5\" class=\"data row5 col5\" >kilowatt hour</td>\n    </tr>\n    <tr>\n      <th id=\"T_961b1_level0_row6\" class=\"row_heading level0 row6\" >magnesium</th>\n      <td id=\"T_961b1_row6_col0\" class=\"data row6 col0\" >market for magnesium</td>\n      <td id=\"T_961b1_row6_col1\" class=\"data row6 col1\" >0.030500</td>\n      <td id=\"T_961b1_row6_col2\" class=\"data row6 col2\" >kilogram</td>\n      <td id=\"T_961b1_row6_col3\" class=\"data row6 col3\" >market for magnesium</td>\n      <td id=\"T_961b1_row6_col4\" class=\"data row6 col4\" >0.030500</td>\n      <td id=\"T_961b1_row6_col5\" class=\"data row6 col5\" >kilogram</td>\n    </tr>\n    <tr>\n      <th id=\"T_961b1_level0_row7\" class=\"row_heading level0 row7\" >manganese</th>\n      <td id=\"T_961b1_row7_col0\" class=\"data row7 col0\" >market for manganese</td>\n      <td id=\"T_961b1_row7_col1\" class=\"data row7 col1\" >0.005080</td>\n      <td id=\"T_961b1_row7_col2\" class=\"data row7 col2\" >kilogram</td>\n      <td id=\"T_961b1_row7_col3\" class=\"data row7 col3\" >market for manganese</td>\n      <td id=\"T_961b1_row7_col4\" class=\"data row7 col4\" >0.005080</td>\n      <td id=\"T_961b1_row7_col5\" class=\"data row7 col5\" >kilogram</td>\n    </tr>\n    <tr>\n      <th id=\"T_961b1_level0_row8\" class=\"row_heading level0 row8\" >silicon, metallurgical grade</th>\n      <td id=\"T_961b1_row8_col0\" class=\"data row8 col0\" >market for silicon, metallurgical grade</td>\n      <td id=\"T_961b1_row8_col1\" class=\"data row8 col1\" >0.004060</td>\n      <td id=\"T_961b1_row8_col2\" class=\"data row8 col2\" >kilogram</td>\n      <td id=\"T_961b1_row8_col3\" class=\"data row8 col3\" >market for silicon, metallurgical grade</td>\n      <td id=\"T_961b1_row8_col4\" class=\"data row8 col4\" >0.004060</td>\n      <td id=\"T_961b1_row8_col5\" class=\"data row8 col5\" >kilogram</td>\n    </tr>\n    <tr>\n      <th id=\"T_961b1_level0_row9\" class=\"row_heading level0 row9\" >zinc</th>\n      <td id=\"T_961b1_row9_col0\" class=\"data row9 col0\" >market for zinc</td>\n      <td id=\"T_961b1_row9_col1\" class=\"data row9 col1\" >0.002030</td>\n      <td id=\"T_961b1_row9_col2\" class=\"data row9 col2\" >kilogram</td>\n      <td id=\"T_961b1_row9_col3\" class=\"data row9 col3\" >market for zinc</td>\n      <td id=\"T_961b1_row9_col4\" class=\"data row9 col4\" >0.002030</td>\n      <td id=\"T_961b1_row9_col5\" class=\"data row9 col5\" >kilogram</td>\n    </tr>\n  </tbody>\n</table>\n"
+      "text/plain": "<pandas.io.formats.style.Styler at 0x7f19f2104370>",
+      "text/html": "<style type=\"text/css\">\n#T_6b5fe_row0_col0, #T_6b5fe_row0_col1, #T_6b5fe_row0_col3, #T_6b5fe_row0_col4, #T_6b5fe_row1_col1, #T_6b5fe_row1_col4, #T_6b5fe_row3_col0, #T_6b5fe_row3_col1, #T_6b5fe_row3_col3, #T_6b5fe_row3_col4, #T_6b5fe_row5_col0, #T_6b5fe_row5_col3 {\n  background-color: yellow;\n}\n</style>\n<table id=\"T_6b5fe\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_6b5fe_level0_col0\" class=\"col_heading level0 col0\" colspan=\"3\">aluminium alloy production, AlMg3[RER] (1.000000 kilogram)</th>\n      <th id=\"T_6b5fe_level0_col3\" class=\"col_heading level0 col3\" colspan=\"3\">Aluminium 2[RER] (1.000000 kilogram)</th>\n    </tr>\n    <tr>\n      <th class=\"blank level1\" >&nbsp;</th>\n      <th id=\"T_6b5fe_level1_col0\" class=\"col_heading level1 col0\" >input</th>\n      <th id=\"T_6b5fe_level1_col1\" class=\"col_heading level1 col1\" >amount</th>\n      <th id=\"T_6b5fe_level1_col2\" class=\"col_heading level1 col2\" >unit</th>\n      <th id=\"T_6b5fe_level1_col3\" class=\"col_heading level1 col3\" >input</th>\n      <th id=\"T_6b5fe_level1_col4\" class=\"col_heading level1 col4\" >amount</th>\n      <th id=\"T_6b5fe_level1_col5\" class=\"col_heading level1 col5\" >unit</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_6b5fe_level0_row0\" class=\"row_heading level0 row0\" >aluminium scrap, new, Recycled Content cut-off</th>\n      <td id=\"T_6b5fe_row0_col0\" class=\"data row0 col0\" >nan</td>\n      <td id=\"T_6b5fe_row0_col1\" class=\"data row0 col1\" >nan</td>\n      <td id=\"T_6b5fe_row0_col2\" class=\"data row0 col2\" >nan</td>\n      <td id=\"T_6b5fe_row0_col3\" class=\"data row0 col3\" >aluminium scrap, new, Recycled Content cut-off</td>\n      <td id=\"T_6b5fe_row0_col4\" class=\"data row0 col4\" >12</td>\n      <td id=\"T_6b5fe_row0_col5\" class=\"data row0 col5\" >kilogram</td>\n    </tr>\n    <tr>\n      <th id=\"T_6b5fe_level0_row1\" class=\"row_heading level0 row1\" >aluminium, cast alloy</th>\n      <td id=\"T_6b5fe_row1_col0\" class=\"data row1 col0\" >market for aluminium, cast alloy</td>\n      <td id=\"T_6b5fe_row1_col1\" class=\"data row1 col1\" >0.965000</td>\n      <td id=\"T_6b5fe_row1_col2\" class=\"data row1 col2\" >kilogram</td>\n      <td id=\"T_6b5fe_row1_col3\" class=\"data row1 col3\" >market for aluminium, cast alloy</td>\n      <td id=\"T_6b5fe_row1_col4\" class=\"data row1 col4\" >0.965 - 0.965*share_recycled_aluminium</td>\n      <td id=\"T_6b5fe_row1_col5\" class=\"data row1 col5\" >kilogram</td>\n    </tr>\n    <tr>\n      <th id=\"T_6b5fe_level0_row2\" class=\"row_heading level0 row2\" >cast iron</th>\n      <td id=\"T_6b5fe_row2_col0\" class=\"data row2 col0\" >market for cast iron</td>\n      <td id=\"T_6b5fe_row2_col1\" class=\"data row2 col1\" >0.004060</td>\n      <td id=\"T_6b5fe_row2_col2\" class=\"data row2 col2\" >kilogram</td>\n      <td id=\"T_6b5fe_row2_col3\" class=\"data row2 col3\" >market for cast iron</td>\n      <td id=\"T_6b5fe_row2_col4\" class=\"data row2 col4\" >0.004060</td>\n      <td id=\"T_6b5fe_row2_col5\" class=\"data row2 col5\" >kilogram</td>\n    </tr>\n    <tr>\n      <th id=\"T_6b5fe_level0_row3\" class=\"row_heading level0 row3\" >chromium</th>\n      <td id=\"T_6b5fe_row3_col0\" class=\"data row3 col0\" >market for chromium</td>\n      <td id=\"T_6b5fe_row3_col1\" class=\"data row3 col1\" >0.003050</td>\n      <td id=\"T_6b5fe_row3_col2\" class=\"data row3 col2\" >kilogram</td>\n      <td id=\"T_6b5fe_row3_col3\" class=\"data row3 col3\" >market for chromium oxide, flakes</td>\n      <td id=\"T_6b5fe_row3_col4\" class=\"data row3 col4\" >4.000000</td>\n      <td id=\"T_6b5fe_row3_col5\" class=\"data row3 col5\" >kilogram</td>\n    </tr>\n    <tr>\n      <th id=\"T_6b5fe_level0_row4\" class=\"row_heading level0 row4\" >copper, cathode</th>\n      <td id=\"T_6b5fe_row4_col0\" class=\"data row4 col0\" >market for copper, cathode</td>\n      <td id=\"T_6b5fe_row4_col1\" class=\"data row4 col1\" >0.001020</td>\n      <td id=\"T_6b5fe_row4_col2\" class=\"data row4 col2\" >kilogram</td>\n      <td id=\"T_6b5fe_row4_col3\" class=\"data row4 col3\" >market for copper, cathode</td>\n      <td id=\"T_6b5fe_row4_col4\" class=\"data row4 col4\" >0.001020</td>\n      <td id=\"T_6b5fe_row4_col5\" class=\"data row4 col5\" >kilogram</td>\n    </tr>\n    <tr>\n      <th id=\"T_6b5fe_level0_row5\" class=\"row_heading level0 row5\" >electricity, medium voltage</th>\n      <td id=\"T_6b5fe_row5_col0\" class=\"data row5 col0\" >market group for electricity, medium voltage[RER]</td>\n      <td id=\"T_6b5fe_row5_col1\" class=\"data row5 col1\" >1.590000</td>\n      <td id=\"T_6b5fe_row5_col2\" class=\"data row5 col2\" >kilowatt hour</td>\n      <td id=\"T_6b5fe_row5_col3\" class=\"data row5 col3\" >elect mix{FG}</td>\n      <td id=\"T_6b5fe_row5_col4\" class=\"data row5 col4\" >1.590000</td>\n      <td id=\"T_6b5fe_row5_col5\" class=\"data row5 col5\" >kilowatt hour</td>\n    </tr>\n    <tr>\n      <th id=\"T_6b5fe_level0_row6\" class=\"row_heading level0 row6\" >magnesium</th>\n      <td id=\"T_6b5fe_row6_col0\" class=\"data row6 col0\" >market for magnesium</td>\n      <td id=\"T_6b5fe_row6_col1\" class=\"data row6 col1\" >0.030500</td>\n      <td id=\"T_6b5fe_row6_col2\" class=\"data row6 col2\" >kilogram</td>\n      <td id=\"T_6b5fe_row6_col3\" class=\"data row6 col3\" >market for magnesium</td>\n      <td id=\"T_6b5fe_row6_col4\" class=\"data row6 col4\" >0.030500</td>\n      <td id=\"T_6b5fe_row6_col5\" class=\"data row6 col5\" >kilogram</td>\n    </tr>\n    <tr>\n      <th id=\"T_6b5fe_level0_row7\" class=\"row_heading level0 row7\" >manganese</th>\n      <td id=\"T_6b5fe_row7_col0\" class=\"data row7 col0\" >market for manganese</td>\n      <td id=\"T_6b5fe_row7_col1\" class=\"data row7 col1\" >0.005080</td>\n      <td id=\"T_6b5fe_row7_col2\" class=\"data row7 col2\" >kilogram</td>\n      <td id=\"T_6b5fe_row7_col3\" class=\"data row7 col3\" >market for manganese</td>\n      <td id=\"T_6b5fe_row7_col4\" class=\"data row7 col4\" >0.005080</td>\n      <td id=\"T_6b5fe_row7_col5\" class=\"data row7 col5\" >kilogram</td>\n    </tr>\n    <tr>\n      <th id=\"T_6b5fe_level0_row8\" class=\"row_heading level0 row8\" >silicon, metallurgical grade</th>\n      <td id=\"T_6b5fe_row8_col0\" class=\"data row8 col0\" >market for silicon, metallurgical grade</td>\n      <td id=\"T_6b5fe_row8_col1\" class=\"data row8 col1\" >0.004060</td>\n      <td id=\"T_6b5fe_row8_col2\" class=\"data row8 col2\" >kilogram</td>\n      <td id=\"T_6b5fe_row8_col3\" class=\"data row8 col3\" >market for silicon, metallurgical grade</td>\n      <td id=\"T_6b5fe_row8_col4\" class=\"data row8 col4\" >0.004060</td>\n      <td id=\"T_6b5fe_row8_col5\" class=\"data row8 col5\" >kilogram</td>\n    </tr>\n    <tr>\n      <th id=\"T_6b5fe_level0_row9\" class=\"row_heading level0 row9\" >zinc</th>\n      <td id=\"T_6b5fe_row9_col0\" class=\"data row9 col0\" >market for zinc</td>\n      <td id=\"T_6b5fe_row9_col1\" class=\"data row9 col1\" >0.002030</td>\n      <td id=\"T_6b5fe_row9_col2\" class=\"data row9 col2\" >kilogram</td>\n      <td id=\"T_6b5fe_row9_col3\" class=\"data row9 col3\" >market for zinc</td>\n      <td id=\"T_6b5fe_row9_col4\" class=\"data row9 col4\" >0.002030</td>\n      <td id=\"T_6b5fe_row9_col5\" class=\"data row9 col5\" >kilogram</td>\n    </tr>\n  </tbody>\n</table>\n"
      },
-     "execution_count": 24,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -942,12 +888,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 21,
    "id": "6007c86f",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:56:53.500697544Z",
-     "start_time": "2024-02-26T16:56:53.448933589Z"
+     "end_time": "2024-02-27T17:34:42.247110Z",
+     "start_time": "2024-02-27T17:34:42.239512Z"
     }
    },
    "outputs": [
@@ -955,7 +901,7 @@
      "data": {
       "text/plain": "[('EF v3.0', 'climate change', 'global warming potential (GWP100)'),\n ('EF v3.0', 'climate change: biogenic', 'global warming potential (GWP100)'),\n ('EF v3.0', 'climate change: fossil', 'global warming potential (GWP100)'),\n ('EF v3.0',\n  'climate change: land use and land use change',\n  'global warming potential (GWP100)')]"
      },
-     "execution_count": 25,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -980,12 +926,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 22,
    "id": "fd1ec460",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:56:55.510487617Z",
-     "start_time": "2024-02-26T16:56:55.463545813Z"
+     "end_time": "2024-02-27T17:34:42.252062Z",
+     "start_time": "2024-02-27T17:34:42.248817Z"
     }
    },
    "outputs": [],
@@ -1004,12 +950,20 @@
   {
    "cell_type": "code",
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[INFO] Db changed recently, clearing cache expr\n",
+      "[INFO] Db changed recently, clearing cache lcia\n"
+     ]
+    },
     {
      "data": {
       "text/plain": "                 climate change - global warming potential (GWP100)[kg CO2-Eq]  \\\ntotal_inventory                                             6.4928               \n\n                 climate change: biogenic - global warming potential (GWP100)[kg CO2-Eq]  \\\ntotal_inventory                                          0.0143764                         \n\n                 climate change: fossil - global warming potential (GWP100)[kg CO2-Eq]  \\\ntotal_inventory                                            6.47243                       \n\n                 climate change: land use and land use change - global warming potential (GWP100)[kg CO2-Eq]  \ntotal_inventory                                         0.00598809                                            ",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>climate change - global warming potential (GWP100)[kg CO2-Eq]</th>\n      <th>climate change: biogenic - global warming potential (GWP100)[kg CO2-Eq]</th>\n      <th>climate change: fossil - global warming potential (GWP100)[kg CO2-Eq]</th>\n      <th>climate change: land use and land use change - global warming potential (GWP100)[kg CO2-Eq]</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>total_inventory</th>\n      <td>6.4928</td>\n      <td>0.0143764</td>\n      <td>6.47243</td>\n      <td>0.00598809</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 27,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1034,30 +988,37 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:56:58.478523205Z",
-     "start_time": "2024-02-26T16:56:56.939361260Z"
+     "end_time": "2024-02-27T17:34:44.029316Z",
+     "start_time": "2024-02-27T17:34:42.253477Z"
     }
    },
    "id": "a35f64d35ec07e1b",
-   "execution_count": 27
+   "execution_count": 23
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 24,
    "id": "a65d5217",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:57:13.899040344Z",
-     "start_time": "2024-02-26T16:57:13.786122665Z"
+     "end_time": "2024-02-27T17:34:44.103601Z",
+     "start_time": "2024-02-27T17:34:44.030835Z"
     }
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[INFO] Db changed recently, clearing cache expr\n"
+     ]
+    },
     {
      "data": {
       "text/plain": "                                        climate change - global warming potential (GWP100)[kg CO2-Eq]  \\\naluminium alloy production, AlMg3[RER]                                            7.30913               \nAluminium 2[RER]                                                                  30.5944               \n\n                                        climate change: biogenic - global warming potential (GWP100)[kg CO2-Eq]  \\\naluminium alloy production, AlMg3[RER]                                           0.015893                         \nAluminium 2[RER]                                                                0.0676333                         \n\n                                        climate change: fossil - global warming potential (GWP100)[kg CO2-Eq]  \\\naluminium alloy production, AlMg3[RER]                                            7.27595                       \nAluminium 2[RER]                                                                  30.5011                       \n\n                                        climate change: land use and land use change - global warming potential (GWP100)[kg CO2-Eq]  \naluminium alloy production, AlMg3[RER]                                          0.0172853                                            \nAluminium 2[RER]                                                                0.0256965                                            ",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>climate change - global warming potential (GWP100)[kg CO2-Eq]</th>\n      <th>climate change: biogenic - global warming potential (GWP100)[kg CO2-Eq]</th>\n      <th>climate change: fossil - global warming potential (GWP100)[kg CO2-Eq]</th>\n      <th>climate change: land use and land use change - global warming potential (GWP100)[kg CO2-Eq]</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>aluminium alloy production, AlMg3[RER]</th>\n      <td>7.30913</td>\n      <td>0.015893</td>\n      <td>7.27595</td>\n      <td>0.0172853</td>\n    </tr>\n    <tr>\n      <th>Aluminium 2[RER]</th>\n      <td>30.5944</td>\n      <td>0.0676333</td>\n      <td>30.5011</td>\n      <td>0.0256965</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 29,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1084,12 +1045,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 25,
    "id": "3fd8f2a8",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:57:18.308169348Z",
-     "start_time": "2024-02-26T16:57:17.986311631Z"
+     "end_time": "2024-02-27T17:34:44.472854Z",
+     "start_time": "2024-02-27T17:34:44.105529Z"
     }
    },
    "outputs": [
@@ -1098,7 +1059,7 @@
       "text/plain": "       climate change - global warming potential (GWP100)[kg CO2-Eq]  \\\na                                                                      \n1                                                13.6393               \n2                                                12.1085               \n3                                                10.9604               \n4                                                10.0674               \n5                                                9.35303               \n...                                                  ...               \n99995                                            2.92429               \n99996                                            2.92429               \n99997                                            2.92429               \n99998                                            2.92429               \n99999                                            2.92429               \n\n       climate change: biogenic - global warming potential (GWP100)[kg CO2-Eq]  \\\na                                                                                \n1                                              0.0323603                         \n2                                              0.0286456                         \n3                                              0.0258596                         \n4                                              0.0236926                         \n5                                              0.0219591                         \n...                                                  ...                         \n99995                                         0.00635876                         \n99996                                         0.00635876                         \n99997                                         0.00635876                         \n99998                                         0.00635876                         \n99999                                         0.00635876                         \n\n       climate change: fossil - global warming potential (GWP100)[kg CO2-Eq]  \\\na                                                                              \n1                                                13.5979                       \n2                                                12.0711                       \n3                                                 10.926                       \n4                                                10.0354                       \n5                                                9.32287                       \n...                                                  ...                       \n99995                                            2.91102                       \n99996                                            2.91102                       \n99997                                            2.91102                       \n99998                                            2.91102                       \n99999                                            2.91102                       \n\n       climate change: land use and land use change - global warming potential (GWP100)[kg CO2-Eq]  \na                                                                                                   \n1                                             0.00906581                                            \n2                                             0.00875842                                            \n3                                             0.00852789                                            \n4                                             0.00834858                                            \n5                                             0.00820513                                            \n...                                                  ...                                            \n99995                                         0.00691425                                            \n99996                                         0.00691425                                            \n99997                                         0.00691425                                            \n99998                                         0.00691425                                            \n99999                                         0.00691425                                            \n\n[99999 rows x 4 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>climate change - global warming potential (GWP100)[kg CO2-Eq]</th>\n      <th>climate change: biogenic - global warming potential (GWP100)[kg CO2-Eq]</th>\n      <th>climate change: fossil - global warming potential (GWP100)[kg CO2-Eq]</th>\n      <th>climate change: land use and land use change - global warming potential (GWP100)[kg CO2-Eq]</th>\n    </tr>\n    <tr>\n      <th>a</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1</th>\n      <td>13.6393</td>\n      <td>0.0323603</td>\n      <td>13.5979</td>\n      <td>0.00906581</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>12.1085</td>\n      <td>0.0286456</td>\n      <td>12.0711</td>\n      <td>0.00875842</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>10.9604</td>\n      <td>0.0258596</td>\n      <td>10.926</td>\n      <td>0.00852789</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>10.0674</td>\n      <td>0.0236926</td>\n      <td>10.0354</td>\n      <td>0.00834858</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>9.35303</td>\n      <td>0.0219591</td>\n      <td>9.32287</td>\n      <td>0.00820513</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>99995</th>\n      <td>2.92429</td>\n      <td>0.00635876</td>\n      <td>2.91102</td>\n      <td>0.00691425</td>\n    </tr>\n    <tr>\n      <th>99996</th>\n      <td>2.92429</td>\n      <td>0.00635876</td>\n      <td>2.91102</td>\n      <td>0.00691425</td>\n    </tr>\n    <tr>\n      <th>99997</th>\n      <td>2.92429</td>\n      <td>0.00635876</td>\n      <td>2.91102</td>\n      <td>0.00691425</td>\n    </tr>\n    <tr>\n      <th>99998</th>\n      <td>2.92429</td>\n      <td>0.00635876</td>\n      <td>2.91102</td>\n      <td>0.00691425</td>\n    </tr>\n    <tr>\n      <th>99999</th>\n      <td>2.92429</td>\n      <td>0.00635876</td>\n      <td>2.91102</td>\n      <td>0.00691425</td>\n    </tr>\n  </tbody>\n</table>\n<p>99999 rows × 4 columns</p>\n</div>"
      },
-     "execution_count": 30,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1129,12 +1090,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 26,
    "id": "714dddc7",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:57:23.425062522Z",
-     "start_time": "2024-02-26T16:57:23.363386325Z"
+     "end_time": "2024-02-27T17:34:44.512242Z",
+     "start_time": "2024-02-27T17:34:44.474343Z"
     }
    },
    "outputs": [],
@@ -1146,12 +1107,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 27,
    "id": "7ae836dd",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:57:26.725342396Z",
-     "start_time": "2024-02-26T16:57:26.084336431Z"
+     "end_time": "2024-02-27T17:34:45.060822Z",
+     "start_time": "2024-02-27T17:34:44.513871Z"
     }
    },
    "outputs": [
@@ -1165,10 +1126,10 @@
     },
     {
      "data": {
-      "text/plain": "         climate change - global warming potential (GWP100)[kg CO2-Eq]  \\\nphase                                                                    \n*other*                                           0.487275               \nphase a                                            6.00552               \nphase b                                                  0               \n*sum*                                               6.4928               \n\n         climate change: biogenic - global warming potential (GWP100)[kg CO2-Eq]  \\\nphase                                                                              \n*other*                                         0.00105953                         \nphase a                                          0.0133169                         \nphase b                                                  0                         \n*sum*                                            0.0143764                         \n\n         climate change: fossil - global warming potential (GWP100)[kg CO2-Eq]  \\\nphase                                                                            \n*other*                                           0.485063                       \nphase a                                            5.98737                       \nphase b                                                  0                       \n*sum*                                              6.47243                       \n\n         climate change: land use and land use change - global warming potential (GWP100)[kg CO2-Eq]  \nphase                                                                                                 \n*other*                                         0.00115235                                            \nphase a                                         0.00483573                                            \nphase b                                                  0                                            \n*sum*                                           0.00598809                                            ",
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+      "text/plain": "         climate change - global warming potential (GWP100)[kg CO2-Eq]  \\\nphase                                                                    \n_other_                                            6.00552               \nphase_a                                                  0               \nphase_b                                           0.487275               \n*sum*                                               6.4928               \n\n         climate change: biogenic - global warming potential (GWP100)[kg CO2-Eq]  \\\nphase                                                                              \n_other_                                          0.0133169                         \nphase_a                                                  0                         \nphase_b                                         0.00105953                         \n*sum*                                            0.0143764                         \n\n         climate change: fossil - global warming potential (GWP100)[kg CO2-Eq]  \\\nphase                                                                            \n_other_                                            5.98737                       \nphase_a                                                  0                       \nphase_b                                           0.485063                       \n*sum*                                              6.47243                       \n\n         climate change: land use and land use change - global warming potential (GWP100)[kg CO2-Eq]  \nphase                                                                                                 \n_other_                                         0.00483573                                            \nphase_a                                                  0                                            \nphase_b                                         0.00115235                                            \n*sum*                                           0.00598809                                            ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>climate change - global warming potential (GWP100)[kg CO2-Eq]</th>\n      <th>climate change: biogenic - global warming potential (GWP100)[kg CO2-Eq]</th>\n      <th>climate change: fossil - global warming potential (GWP100)[kg CO2-Eq]</th>\n      <th>climate change: land use and land use change - global warming potential (GWP100)[kg CO2-Eq]</th>\n    </tr>\n    <tr>\n      <th>phase</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>_other_</th>\n      <td>6.00552</td>\n      <td>0.0133169</td>\n      <td>5.98737</td>\n      <td>0.00483573</td>\n    </tr>\n    <tr>\n      <th>phase_a</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>phase_b</th>\n      <td>0.487275</td>\n      <td>0.00105953</td>\n      <td>0.485063</td>\n      <td>0.00115235</td>\n    </tr>\n    <tr>\n      <th>*sum*</th>\n      <td>6.4928</td>\n      <td>0.0143764</td>\n      <td>6.47243</td>\n      <td>0.00598809</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 32,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1208,12 +1169,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 28,
    "id": "eb6d99af",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:57:58.284067745Z",
-     "start_time": "2024-02-26T16:57:57.427730310Z"
+     "end_time": "2024-02-27T17:34:45.664120Z",
+     "start_time": "2024-02-27T17:34:45.065213Z"
     }
    },
    "outputs": [
@@ -1249,12 +1210,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 29,
    "id": "53b48995",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:58:10.648181225Z",
-     "start_time": "2024-02-26T16:58:09.426653882Z"
+     "end_time": "2024-02-27T17:34:46.812658Z",
+     "start_time": "2024-02-27T17:34:45.665392Z"
     }
    },
    "outputs": [
@@ -1264,7 +1225,7 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "fbd4e03aec76484c8d65c27317c61426"
+       "model_id": "0cd2f69513764d588003c6398350477e"
       }
      },
      "metadata": {},
@@ -1308,12 +1269,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 30,
    "id": "0c190cc4",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:58:36.286121004Z",
-     "start_time": "2024-02-26T16:58:35.488661788Z"
+     "end_time": "2024-02-27T17:34:47.560444Z",
+     "start_time": "2024-02-27T17:34:46.814345Z"
     }
    },
    "outputs": [
@@ -1326,24 +1287,7 @@
       "Processing Sobol indices ...\n",
       "Processing sobol for ('EF v3.0', 'climate change', 'global warming potential (GWP100)')\n",
       "Processing sobol for ('EF v3.0', 'climate change: biogenic', 'global warming potential (GWP100)')\n",
-      "Processing sobol for ('EF v3.0', 'climate change: fossil', 'global warming potential (GWP100)')\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/rjolivet/lca_algebraic/.venv/lib/python3.9/site-packages/SALib/sample/saltelli.py:109: UserWarning: \n",
-      "        Convergence properties of the Sobol' sequence is only valid if\n",
-      "        `N` (1000) is equal to `2^n`.\n",
-      "        \n",
-      "  warnings.warn(msg)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "Processing sobol for ('EF v3.0', 'climate change: fossil', 'global warming potential (GWP100)')\n",
       "Processing sobol for ('EF v3.0', 'climate change: land use and land use change', 'global warming potential (GWP100)')\n"
      ]
     },
@@ -1353,7 +1297,7 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "cf2f121902884f34933f9c055c40f0bd"
+       "model_id": "09622ede8b364883882bae5d9b4d15c0"
       }
      },
      "metadata": {},
@@ -1380,12 +1324,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 31,
    "id": "5b3f1adb",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:58:59.842283710Z",
-     "start_time": "2024-02-26T16:58:57.261051526Z"
+     "end_time": "2024-02-27T17:34:49.959986Z",
+     "start_time": "2024-02-27T17:34:47.562274Z"
     }
    },
    "outputs": [
@@ -1401,18 +1345,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/rjolivet/lca_algebraic/.venv/lib/python3.9/site-packages/SALib/sample/saltelli.py:109: UserWarning: \n",
-      "        Convergence properties of the Sobol' sequence is only valid if\n",
-      "        `N` (1000) is equal to `2^n`.\n",
-      "        \n",
-      "  warnings.warn(msg)\n",
       "Param 'b' is marked as FIXED, but passed in parameters : ignored\n"
      ]
     },
     {
      "data": {
       "text/plain": "<Figure size 1500x1500 with 6 Axes>",
-      "image/png": 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      },
      "metadata": {},
      "output_type": "display_data"
@@ -1432,12 +1371,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 32,
    "id": "29d6b7af",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T16:59:58.504244568Z",
-     "start_time": "2024-02-26T16:59:51.534239964Z"
+     "end_time": "2024-02-27T17:35:00.596357Z",
+     "start_time": "2024-02-27T17:34:49.961307Z"
     }
    },
    "outputs": [
@@ -1445,24 +1384,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Generating samples ...\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/rjolivet/lca_algebraic/.venv/lib/python3.9/site-packages/SALib/sample/saltelli.py:109: UserWarning: \n",
-      "        Convergence properties of the Sobol' sequence is only valid if\n",
-      "        `N` (10000) is equal to `2^n`.\n",
-      "        \n",
-      "  warnings.warn(msg)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "Generating samples ...\n",
       "Transforming samples ...\n"
      ]
     },
@@ -1475,17 +1397,17 @@
     },
     {
      "data": {
-      "text/plain": "       climate change - global warming potential (GWP100) [kg CO2-Eq / kWh]  \\\nmedian                                            9.20918                     \nstd                                               2.63015                     \np                 [4.659264264638586, 13.291067516728774]                     \nmean                                              9.12283                     \nvar                                              0.288304                     \n\n       climate change: biogenic - global warming potential (GWP100) [kg CO2-Eq / kWh]  \\\nmedian                                           0.020987                               \nstd                                            0.00616734                               \np              [0.010492539070202336, 0.0307520736659077]                               \nmean                                            0.0208441                               \nvar                                              0.295879                               \n\n       climate change: fossil - global warming potential (GWP100) [kg CO2-Eq / kWh]  \\\nmedian                                            9.18062                             \nstd                                               2.62272                             \np                 [4.643682999852571, 13.250823708040686]                             \nmean                                              9.09468                             \nvar                                               0.28838                             \n\n       climate change: land use and land use change - global warming potential (GWP100) [kg CO2-Eq / kWh]  \nmedian                                         0.00761267                                                  \nstd                                            0.00135139                                                  \np            [0.004695927704701784, 0.008893972930778411]                                                  \nmean                                           0.00731298                                                  \nvar                                              0.184794                                                  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>climate change - global warming potential (GWP100) [kg CO2-Eq / kWh]</th>\n      <th>climate change: biogenic - global warming potential (GWP100) [kg CO2-Eq / kWh]</th>\n      <th>climate change: fossil - global warming potential (GWP100) [kg CO2-Eq / kWh]</th>\n      <th>climate change: land use and land use change - global warming potential (GWP100) [kg CO2-Eq / kWh]</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>median</th>\n      <td>9.20918</td>\n      <td>0.020987</td>\n      <td>9.18062</td>\n      <td>0.00761267</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>2.63015</td>\n      <td>0.00616734</td>\n      <td>2.62272</td>\n      <td>0.00135139</td>\n    </tr>\n    <tr>\n      <th>p</th>\n      <td>[4.659264264638586, 13.291067516728774]</td>\n      <td>[0.010492539070202336, 0.0307520736659077]</td>\n      <td>[4.643682999852571, 13.250823708040686]</td>\n      <td>[0.004695927704701784, 0.008893972930778411]</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>9.12283</td>\n      <td>0.0208441</td>\n      <td>9.09468</td>\n      <td>0.00731298</td>\n    </tr>\n    <tr>\n      <th>var</th>\n      <td>0.288304</td>\n      <td>0.295879</td>\n      <td>0.28838</td>\n      <td>0.184794</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "       climate change - global warming potential (GWP100) [kg CO2-Eq / kWh]  \\\nmedian                                            9.20966                     \nstd                                               2.62974                     \np                 [4.657289888487079, 13.299038510543047]                     \nmean                                              9.12336                     \nvar                                              0.288242                     \n\n       climate change: biogenic - global warming potential (GWP100) [kg CO2-Eq / kWh]  \\\nmedian                                          0.0209851                               \nstd                                            0.00616625                               \np            [0.010485195141456278, 0.030739384115681934]                               \nmean                                            0.0208453                               \nvar                                               0.29581                               \n\n       climate change: fossil - global warming potential (GWP100) [kg CO2-Eq / kWh]  \\\nmedian                                            9.18113                             \nstd                                               2.62231                             \np                  [4.64264944886692, 13.258796923684471]                             \nmean                                               9.0952                             \nvar                                              0.288318                             \n\n       climate change: land use and land use change - global warming potential (GWP100) [kg CO2-Eq / kWh]  \nmedian                                         0.00761386                                                  \nstd                                            0.00135051                                                  \np            [0.004699574541457159, 0.008893693059531051]                                                  \nmean                                           0.00731329                                                  \nvar                                              0.184665                                                  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>climate change - global warming potential (GWP100) [kg CO2-Eq / kWh]</th>\n      <th>climate change: biogenic - global warming potential (GWP100) [kg CO2-Eq / kWh]</th>\n      <th>climate change: fossil - global warming potential (GWP100) [kg CO2-Eq / kWh]</th>\n      <th>climate change: land use and land use change - global warming potential (GWP100) [kg CO2-Eq / kWh]</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>median</th>\n      <td>9.20966</td>\n      <td>0.0209851</td>\n      <td>9.18113</td>\n      <td>0.00761386</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>2.62974</td>\n      <td>0.00616625</td>\n      <td>2.62231</td>\n      <td>0.00135051</td>\n    </tr>\n    <tr>\n      <th>p</th>\n      <td>[4.657289888487079, 13.299038510543047]</td>\n      <td>[0.010485195141456278, 0.030739384115681934]</td>\n      <td>[4.64264944886692, 13.258796923684471]</td>\n      <td>[0.004699574541457159, 0.008893693059531051]</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>9.12336</td>\n      <td>0.0208453</td>\n      <td>9.0952</td>\n      <td>0.00731329</td>\n    </tr>\n    <tr>\n      <th>var</th>\n      <td>0.288242</td>\n      <td>0.29581</td>\n      <td>0.288318</td>\n      <td>0.184665</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 38,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
       "text/plain": "<Figure size 1500x1400 with 4 Axes>",
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N0HIDAA9kD0jzMUdklp279qlkiaJq27Kx2rZs7DBv14bfM337pUuGa97PE1NcrnHDOrp2ZrfLeQEB/nrzP8/rzf88f9PbAQAAyChZXc+SUldPutl6VuLlCt/bOVX5+uP3KcnO79H1PvXomvo20N4tS1K9LIDsi4EfAQC4A23fuVd3l7srq7MBAABw26GeBQAZiwA2AAB3GGOMdu39k4/gAAAAZDDqWQCQ8QhgAwBwhznw92FdunSFnkEAAAAZjHoWAGQ8xsAGgNsQH3VEckqVKOZ2vEMAAACk351Qz/pw0T7r30+2KJOFOQFwp6AHNgAAAAAAAADAIxHABgAAAAAAAAB4JIYQAYAskHiIj4Nv3pfl+cjKPAAAAAAAALhDD2wAALKJMW9+LP985a3/f/vjDPnnK6+Dhw5nYa4AAABuD9S1AMAzEcAGAAC33MbN29W+20AVCK+h/OHV1a7LQ9qybVeq0l66dFn/GfuR2ncbqNBSdeSfr7y+/XGG2+X37T+o+wc8o1IVGyu4yD2qXKetXn/rU125EpNRuwMAAOBRrl2L1cjR76hEhUYKCquqhi16aFHUikxJf+1arOZ/P0ljBkVqZN+u+njkMO3duslhmSmfvq/ne3SQf77yLv/+PXLcab2btuxQlz6PKbRUHQUXuUfV6nfQJ198a81Pa50QQPbFECIAAGRTfXt2VI8u98nf3y+rs5Imm7bsUNN2fVW0SKhefH6wEhKMvvjqR7Vo/4CWL5qqcmVKJZv+1Jmzev3tzxReNExVKpXT0uVr3S77z+Gjatiih4Ly5NJjD/dV3uAgrVm3Wf9582Nt3LJDP//wWUbvHgAAuE1k17qWJA0cPFwz5vyuoY8+qLtKFdd3P81Ux56D9Pucb9Sgbo2bSi/lcVr2j3kL1LBdhAoUDtOG6MX6auyrGjTqdZUsX1GSVLdlW5WpfI9aVwq10hljNGTYaBUvVkRFwgo5rHPhkuXq0ucx3VO5gkY8+5hy5QzUXwf/cQh0p6VOCCB7I4ANAB4s8VjZQFLe3t7y9vbO6myk2eg3PlKOgAD9sWCy8ufLK0nq06ODKtVuo1fGvK8p336cbPrChUL0965lCi1UUBs2bVP95t3dLvvj1Nk6d/6Coub/oAp3l5EkDezXUwkmQd9Pnq2z584rb3BQxu0cAAC4bWTXuta6DVs1dcZ8jX31OT0zdIAk6f5enVStQQeNHPW2li6YfFPpuzw3xmnZ++7vr8YRXSRJNe5tpveGDdH87ydp8GtvS5KKly2v4mXLq0+LMlbaFas36MqVGPXu3t5h+xcuXNKAx4erbasmmjzpQ3l5uR48IC11QgDZG0OIAABUYvg86w/u2cdF3PvnAfUb9JwKFq+pImXqafTrH8oYo38OH1XXvo+rQHgNhZdvqPc/+cppHf8eOa5HhoxUsXINlDu0su6p116Tvv/ZabkVqzeofvNuylO4ispXb6kvJzk3NFyNy/j3P/9q6LOvqlLtNgoKq6rCpeuod78nncZutO/Ln3/9rYGDhyukRC0VLF5TDw8ekelDa6xYtV7NGtezgteSVDg0RI3q19L836N16dLlZNP7+/sptFDBVG3rwsUb6woJKeAwPbRQiLy8vOTn65vG3AMAgMxCXStjzJizQN7e3hoY2dOaFhDgr/73d9XqdZv1z+GjN5X+3KmTTsvWadHGmubr56dazVrq7727HZZNavL0ubLZbOrZzTGAPfnnuTp+4pReffEpeXl56fLlK0pISHBKn5Y6IYDsjR7YAHALESC+Pdw/4BmVL1tKr40apl9/j9bYd8crb94g/febKWrSqK5eH/2sJk/7RcNfeUs1q1dWo/q1JEnHT5zSva16ymaz6bGBfVWgQD4tWPSHBj3xoi5cvKQnHouUJG3fuUf3dR2ggvnz6eUXhuj69XiNefMThRTMn2LeNmzcptVrN6lH53YqEhaqv//5VxO+mqxWHR7U5lXzFBiYw2H5vg89rRLhRTTmlWe0ectOffXdNBUsmF9vjH7W5frj4uJ0/sKlVB2nfHmDXPaYuRYbqxw5/J2mB+bIodjYOO3YtU91at2Tqm2k5N4GtfXOh19q0BMv6pXhQ5Uvb7BWr92kCV/9pMGPPKCcOQMzZDsAACDjUNe6ubrW5q27VKZ0CeXJk8thes3qVSRJW7bvUrGihd2u1136Q7pxfI4cPKDgAjcCx79Eb1D+0DAFBDrWqYrdVdZp2cTi4uL086xfVa92NZUIL+owb0n0SuXJnUtHjh5X9wcGa9+fB5UzZ6D69IjQO6+PUECAcz0SwO2NADYAZDGC2tlPzeqV9dn7/5EkDYzsobJVm+uFl8fptVee0bNPPixJ6tn1PpWocK+++eFnq1E16rUPFJ8Qrw3L51i9jx/p30sPDHxGr437RA/366kcOQL06tiPZYzR4vnfK7xomCSpU4dWqtEwIsW8tW3VRF06tnGYdl/rprq3dS/N/OV39e3Z0WHePZXv1hcfv279//TZc5r0/XS3jaqVazaqVURkag6T9mxe5NQgkaSyd5XUmvVbFB8fb72WGxsbq3Ub79QNLAAAa1FJREFUtkqSjhx1/ohPerVu0UijRz6pce9/obm/LrGmDx/2qF598akM2w4AAMg41LVurq517PhJhYY6B40L/39v5aPHTiS7Xnfp8+S9cUwvnD1tTbtw7ow1PaVlE/t9yXKdPnNOvbp3cJr3519/63p8vLrdP1j97u+q115+RktXrNVnE77X+fMX9N1/30s2/wBuPwSwAQBIo4ce+N/4et7e3qperZIOHzmmfvd3s6YHB+VR2btK6sDBG6+TGmM085ff1bVTGxkjnTp91lq2ZbOGmjpjvjZt2ak6tapq4ZLlimjX3GpQSdLd5UqrZbOG+m3h0mTzliNHgPXvuLg4Xbh4SaVLFVdwUB5t2rLTqVH1cP9eDv9vULeGZs9dqAsXLjn1upGkKpXKa/4M59d1XQkNcf1K56ABfTR02GgNeuJFDRs6UAkJCRr77uc6evzGK6YxV6+lav2pVTy8iBrWq6nOHVopf75g/fr7Uo177wsVCimgxx++P0O3BQAAbh51rZura8VcvSp/P+cPT/r/f8/lmJjk61ru0vv43pgWFxtrTYuLjZW3iyHZXC2b2JTpc+Xr66tundo4zbt0+YquXInRw/176f03X5J04weG2Ng4/XfSFL0y4gmVKV0i2X0AcHshgA0AQBolfeUyKE8uBQT4q0D+vE7TT585J0k6eeqMzp2/oInfTNXEb6a6XO/JU6d18tQZxcRc1V2lSjjNL3tXiRQbVTExV/XW+xP07Y8z9O/R4zLGWPMuXLiY4r7kDb7xVfmz58+7bFTlDQ5S8yb1k81DSh7p30uH/z2q9z7+St/9NEuSVKNaJQ17YoDefPfzDB3WY+rP8/T4069o+9rfVLTIja/ed+rQSgkJCXrx1XfVs+t9DmNxAwCArEdd6+bqWjkCAnTNReD42v93EnA1lFtq0l+PuzHNN1Fw29fPT/Fxcala1u7Spcv65dclatmsgct6WI6AGz8S9Ox6n8P0Xt3a67+TpmjNus0EsIE7DAFsAADSyNXX6N19od7eprF/eKZPjwjd36uTy2UrVyzn8gM1afH0C6/pmx9naOijD6purXuUJ09u2Ww2PTDwGSUY53W7z7dxOT02NlZnzp5PVV4KFsjndv3/eelpPT3kIe3c/aeC8uRSpQrl9PKYG6+Dls3ABskXX/2keyrfbQWv7dq3baZvf5qpzVt33XQjEQAAZCzqWjdX1wotVNDlkGz2t90Kh4Yku1536S+cvdGrPU/e/40Vnic4n86fcR4mxNWydnPmL9aVKzHq3c15+JAb+Suonbv3OY1JXrDAjf+fPXch2fwDuP0QwAYA4BYoWCCfcufKqfj4+GQDpvHx8cqRI0B//nXQad7eP52nJTVjzgI90KuT3nptuDXt6tVrOnfeuUdQeqxau+mmx2W0yxscpAZ1a1j/X7J0lYqGhapc2VI3nU+74ydPKW9QkNP0uLjrkqTr1+MzbFsAACDrUNf6n6qVy2vp8jVOw5Ss27DlxvxKdye7Xnfp/9m3R5IUVqKkNa1wiZLav2Orrl654vAhR1fL2v007RflyhWo9m2budx+9XsqanH0Sh05ekLlyvyvXmgfu7tgAd6eA+40BLAB4A7BxyKzlre3tzp3aKXJP8/Vjp17VbFCWYf5J0+dsXrRtGzWUHPmL9ahw0essRl37dmvhUuWp2I7Xk49ej6d8L3i4zMmUJsR4zK6Mm3GfK3fuE1v/ud5eXl5WdOvXInRocNHVSB/XqfXhlOjTOkSWhS1Qnv/PKCyd/2vATVlxjx5eXmpcsWyyaQGAADZBXWt/+kS0Vrvf/KV/vvNFD0zdIAk6dq1WH3z40zVrlHVYViTpHWtDxftU1zhCoqPj7fSf7hon67HxWld9CKFlymn4AL/226Vug30xy8ztWbRb2oc0UWS3C4r3TgPS5auUs+u9ykwMIfL/Hfr1FZvf/ClJn0/XU3vrWtN//q7afLx8dG9DWqn6vgAuH0QwAYA4BZ5bdQwLV2+Rg1b9dRDD3TX3eVK6+y589q0ZaeWLF2lY3+tkSS9Mnyofl+8TM3b3a9BA3rr+vV4ffbl96pQ/i5t27En2W20a91EP0ydozx5cuvucqW1Zt1mLVm6SvnzBWfIPmTEuIzLVq7T629/phZNGyh/3mCtXb9F3/w4Q62aN9LQRx90WHbdxq1qFRGpl54frJeHD7Wmf/bl9zp//qKO/H9PnHm/RenfIzdedX38kfsVlCe3JOmZoQO0YNEyNb/vfj02sK/y5QvW/AXRWrDoDz30QHeFFS50U/sCAAA8B3WtG2rXrKquHdvo5THv6+SpMypdMlzfT56lvw/9qy8+es1hWVd1rfAy5RzSH7wWoA1Ll+jsyRPq/ugTDunDy5RTlboN9OtP3+rShfPKH1rY7bKSNG3mfF2/fl29urV3m/97qlRQv75dNemHn3X9erw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      },
      "metadata": {},
      "output_type": "display_data"
@@ -1517,12 +1439,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 33,
    "id": "fd3cabcc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T17:00:11.260848619Z",
-     "start_time": "2024-02-26T17:00:07.645519256Z"
+     "end_time": "2024-02-27T17:35:03.857184Z",
+     "start_time": "2024-02-27T17:35:00.598315Z"
     }
    },
    "outputs": [
@@ -1538,11 +1460,6 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/rjolivet/lca_algebraic/.venv/lib/python3.9/site-packages/SALib/sample/saltelli.py:109: UserWarning: \n",
-      "        Convergence properties of the Sobol' sequence is only valid if\n",
-      "        `N` (1000) is equal to `2^n`.\n",
-      "        \n",
-      "  warnings.warn(msg)\n",
       "Param 'b' is marked as FIXED, but passed in parameters : ignored\n"
      ]
     },
@@ -1563,7 +1480,7 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "789ffc5c93e44f608447295d38802452"
+       "model_id": "3d974ae404fa428b8b517241ab5f7097"
       }
      },
      "metadata": {},
@@ -1593,12 +1510,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 34,
    "id": "335a028b",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T17:00:41.629289301Z",
-     "start_time": "2024-02-26T17:00:41.235802181Z"
+     "end_time": "2024-02-27T17:35:04.245018Z",
+     "start_time": "2024-02-27T17:35:03.858622Z"
     }
    },
    "outputs": [
@@ -1608,7 +1525,7 @@
       "image/png": 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",
       "text/latex": "$\\displaystyle 0.4 a aluminium_{alloy production AlMg3} + 3 share_{recycled aluminium} \\left(12.0 aluminium_{scrap new Recycled Content cut off} + 1.272 elec_{switch param eu} market_{group for electricity medium voltage1} + 1.59 elec_{switch param us} market_{group for electricity medium voltage} + 1.0 market_{for aluminium cast alloy} \\left(0.965 - 0.965 share_{recycled aluminium}\\right) + 0.00406 market_{for cast iron} + 4.0 market_{for chromium oxide flakes} + 0.00102 market_{for copper cathode} + 0.0305 market_{for magnesium} + 0.00508 market_{for manganese} + 0.00406 market_{for silicon \\mathcal{metallurgi} grade} + 0.00203 market_{for zinc}\\right) + \\left(a + 3.5\\right) \\left(0.7 Heat_{waste} + 1.5 Occupation_{industrial area}\\right)$"
      },
-     "execution_count": 40,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1633,12 +1550,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 35,
    "id": "a2cadc8f",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T17:01:18.857346474Z",
-     "start_time": "2024-02-26T17:01:00.851025364Z"
+     "end_time": "2024-02-27T17:35:22.617582Z",
+     "start_time": "2024-02-27T17:35:04.246346Z"
     }
    },
    "outputs": [
@@ -1653,11 +1570,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/rjolivet/lca_algebraic/.venv/lib/python3.9/site-packages/SALib/sample/saltelli.py:109: UserWarning: \n",
-      "        Convergence properties of the Sobol' sequence is only valid if\n",
-      "        `N` (10000) is equal to `2^n`.\n",
-      "        \n",
-      "  warnings.warn(msg)\n"
+      "/home/rjolivet/lca_algebraic/.venv/lib/python3.9/site-packages/scipy/stats/_qmc.py:958: UserWarning: The balance properties of Sobol' points require n to be a power of 2.\n",
+      "  sample = self._random(n, workers=workers)\n"
      ]
     },
     {
@@ -1683,17 +1597,17 @@
       "Processing sobol for ('EF v3.0', 'climate change: fossil', 'global warming potential (GWP100)')\n",
       "Processing sobol for ('EF v3.0', 'climate change: land use and land use change', 'global warming potential (GWP100)')\n",
       "> Method :  climate change - global warming potential (GWP100)\n",
-      "S1:  0.995338379728793\n",
-      "S2:  -0.0038817515079597065\n",
-      "ST:  1.0030653951654176\n",
-      "Selected params :  ['share_recycled_aluminium'] explains:  0.9708293315933224\n"
+      "S1:  0.9947830065589411\n",
+      "S2:  0.0026464842768339743\n",
+      "ST:  1.0036338373453293\n",
+      "Selected params :  ['share_recycled_aluminium'] explains:  0.9708886283522471\n"
      ]
     },
     {
      "data": {
-      "text/plain": "-0.513⋅ShareRecycledAluminium⋅(5.67⋅ShareRecycledAluminium - 32.1) + 0.424",
-      "image/png": "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",
-      "text/latex": "$\\displaystyle - 0.513 ShareRecycledAluminium \\left(5.67 ShareRecycledAluminium - 32.1\\right) + 0.424$"
+      "text/plain": "-0.515⋅ShareRecycledAluminium⋅(5.67⋅ShareRecycledAluminium - 32.1) + 0.414",
+      "image/png": "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",
+      "text/latex": "$\\displaystyle - 0.515 ShareRecycledAluminium \\left(5.67 ShareRecycledAluminium - 32.1\\right) + 0.414$"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1703,17 +1617,17 @@
      "output_type": "stream",
      "text": [
       "> Method :  climate change: biogenic - global warming potential (GWP100)\n",
-      "S1:  0.995282719767503\n",
-      "S2:  -0.002676201104473315\n",
-      "ST:  1.003579775678831\n",
-      "Selected params :  ['share_recycled_aluminium'] explains:  0.967955709275744\n"
+      "S1:  0.9945984203736973\n",
+      "S2:  0.0025844122409903626\n",
+      "ST:  1.0040516169838396\n",
+      "Selected params :  ['share_recycled_aluminium'] explains:  0.9678486008690492\n"
      ]
     },
     {
      "data": {
-      "text/plain": "-0.514⋅ShareRecycledAluminium⋅(0.0105⋅ShareRecycledAluminium - 0.0719) + 0.000\n916",
-      "image/png": "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",
-      "text/latex": "$\\displaystyle - 0.514 ShareRecycledAluminium \\left(0.0105 ShareRecycledAluminium - 0.0719\\right) + 0.000916$"
+      "text/plain": "-0.513⋅ShareRecycledAluminium⋅(0.0105⋅ShareRecycledAluminium - 0.0719) + 0.000\n926",
+      "image/png": "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",
+      "text/latex": "$\\displaystyle - 0.513 ShareRecycledAluminium \\left(0.0105 ShareRecycledAluminium - 0.0719\\right) + 0.000926$"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1723,17 +1637,17 @@
      "output_type": "stream",
      "text": [
       "> Method :  climate change: fossil - global warming potential (GWP100)\n",
-      "S1:  0.9953372048636817\n",
-      "S2:  -0.0038807214738219077\n",
-      "ST:  1.0030664529466753\n",
-      "Selected params :  ['share_recycled_aluminium'] explains:  0.9707993885746361\n"
+      "S1:  0.9947815015913958\n",
+      "S2:  0.002650352367873288\n",
+      "ST:  1.0036344470996656\n",
+      "Selected params :  ['share_recycled_aluminium'] explains:  0.9708586314850474\n"
      ]
     },
     {
      "data": {
-      "text/plain": "-0.516⋅ShareRecycledAluminium⋅(5.64⋅ShareRecycledAluminium - 32.0) + 0.406",
-      "image/png": "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",
-      "text/latex": "$\\displaystyle - 0.516 ShareRecycledAluminium \\left(5.64 ShareRecycledAluminium - 32.0\\right) + 0.406$"
+      "text/plain": "-0.515⋅ShareRecycledAluminium⋅(5.64⋅ShareRecycledAluminium - 32.0) + 0.411",
+      "image/png": "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",
+      "text/latex": "$\\displaystyle - 0.515 ShareRecycledAluminium \\left(5.64 ShareRecycledAluminium - 32.0\\right) + 0.411$"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1743,17 +1657,17 @@
      "output_type": "stream",
      "text": [
       "> Method :  climate change: land use and land use change - global warming potential (GWP100)\n",
-      "S1:  0.9937823196886767\n",
-      "S2:  -0.006804393358398137\n",
-      "ST:  1.0027175118020624\n",
-      "Selected params :  ['share_recycled_aluminium'] explains:  0.985755388125221\n"
+      "S1:  0.9945837009666446\n",
+      "S2:  -0.00030128730616115634\n",
+      "ST:  1.0045108774198743\n",
+      "Selected params :  ['share_recycled_aluminium'] explains:  0.9865057233018614\n"
      ]
     },
     {
      "data": {
-      "text/plain": "-0.512⋅ShareRecycledAluminium⋅(0.0152⋅ShareRecycledAluminium - 0.0306) + 0.001\n01",
-      "image/png": "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",
-      "text/latex": "$\\displaystyle - 0.512 ShareRecycledAluminium \\left(0.0152 ShareRecycledAluminium - 0.0306\\right) + 0.00101$"
+      "text/plain": "-0.512⋅ShareRecycledAluminium⋅(0.0152⋅ShareRecycledAluminium - 0.0306) + 0.001\n02",
+      "image/png": "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",
+      "text/latex": "$\\displaystyle - 0.512 ShareRecycledAluminium \\left(0.0152 ShareRecycledAluminium - 0.0306\\right) + 0.00102$"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1774,22 +1688,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 36,
    "id": "1993def5",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T17:01:23.045314588Z",
-     "start_time": "2024-02-26T17:01:22.948893446Z"
+     "end_time": "2024-02-27T17:35:22.680345Z",
+     "start_time": "2024-02-27T17:35:22.618864Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "-0.513⋅share_recycled_aluminium⋅(5.67⋅share_recycled_aluminium - 32.1) + 0.424",
-      "image/png": "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",
-      "text/latex": "$\\displaystyle - 0.513 share_{recycled aluminium} \\left(5.67 share_{recycled aluminium} - 32.1\\right) + 0.424$"
+      "text/plain": "-0.515⋅share_recycled_aluminium⋅(5.67⋅share_recycled_aluminium - 32.1) + 0.414",
+      "image/png": "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",
+      "text/latex": "$\\displaystyle - 0.515 share_{recycled aluminium} \\left(5.67 share_{recycled aluminium} - 32.1\\right) + 0.414$"
      },
-     "execution_count": 42,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1812,12 +1726,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 37,
    "id": "b903c7e6",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-02-26T17:01:33.350606509Z",
-     "start_time": "2024-02-26T17:01:29.529611905Z"
+     "end_time": "2024-02-27T17:35:26.142136Z",
+     "start_time": "2024-02-27T17:35:22.684665Z"
     }
    },
    "outputs": [
@@ -1864,7 +1778,11 @@
      "output_type": "stream",
      "text": [
       "/home/rjolivet/lca_algebraic/lca_algebraic/stats.py:1222: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n",
-      "  \"R² : %0.3g\" % r_value,\n"
+      "  \"R² : %0.3g\" % r_value,\n",
+      "[INFO] Required param 'share_recycled_aluminium' was missing, replacing by default value : 0.6\n",
+      "[INFO] Required param 'a' was missing, replacing by default value : 0.5\n",
+      "[INFO] Required param 'elec_switch_param' was missing, replacing by default value : us\n",
+      "[INFO] Required param 'share_recycled_aluminium' was missing, replacing by default value : 0.6\n"
      ]
     },
     {
@@ -1879,10 +1797,6 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "[INFO] Required param 'share_recycled_aluminium' was missing, replacing by default value : 0.6\n",
-      "[INFO] Required param 'a' was missing, replacing by default value : 0.5\n",
-      "[INFO] Required param 'elec_switch_param' was missing, replacing by default value : us\n",
-      "[INFO] Required param 'share_recycled_aluminium' was missing, replacing by default value : 0.6\n",
       "/home/rjolivet/lca_algebraic/lca_algebraic/stats.py:1222: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n",
       "  \"R² : %0.3g\" % r_value,\n",
       "[INFO] Required param 'share_recycled_aluminium' was missing, replacing by default value : 0.6\n",
@@ -1910,7 +1824,7 @@
     {
      "data": {
       "text/plain": "<Figure size 1500x2000 with 4 Axes>",
-      "image/png": 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"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1926,9 +1840,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 37,
    "id": "030d3fae",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-02-27T17:35:26.145367Z",
+     "start_time": "2024-02-27T17:35:26.143159Z"
+    }
+   },
    "outputs": [],
    "source": []
   }
diff --git a/lca_algebraic/axis_dict.py b/lca_algebraic/axis_dict.py
index 63188d1..f7abe2e 100644
--- a/lca_algebraic/axis_dict.py
+++ b/lca_algebraic/axis_dict.py
@@ -64,4 +64,4 @@ def free_symbols(self):
         for key, val in self._dict.items():
             if hasattr(val, "free_symbols"):
                 res |= val.free_symbols
-            return res
+        return res
diff --git a/lca_algebraic/lca.py b/lca_algebraic/lca.py
index 885cab9..1bf9b84 100644
--- a/lca_algebraic/lca.py
+++ b/lca_algebraic/lca.py
@@ -665,7 +665,7 @@ def _safe_axis(axis_name: str):
     if axis_name.isalnum():
         return axis_name
     else:
-        return re.sub("[^0-9a-zA-Z]+", "*", axis_name)
+        return re.sub("[^0-9a-zA-Z]+", "_", axis_name)
 
 
 def _tag_expr(expr, act, axis):
diff --git a/test/unit_test.py b/test/unit_test.py
index 0ed9a7c..3a08ace 100644
--- a/test/unit_test.py
+++ b/test/unit_test.py
@@ -430,9 +430,9 @@ def check_impacts(model, p_values, expected_results):
 def test_axis(data):
     p1 = newFloatParam("p1", 2, min=1, max=3)
 
-    act1_phase_a = newActivity(USER_DB, "act1", "unit", {data.bio1: 1.0}, phase="a")
+    act1_phase_a = newActivity(USER_DB, "act1", "unit", {data.bio1: 1.0}, phase="phase a")
 
-    act2_phase_b = newActivity(USER_DB, "act2", "unit", {data.bio1: 2.0}, phase="b")
+    act2_phase_b = newActivity(USER_DB, "act2", "unit", {data.bio1: 2.0}, phase="phase b")
 
     act3_no_phase = newActivity(USER_DB, "act3", "unit", {data.bio1: 3.0})
 
@@ -455,7 +455,7 @@ def test_axis(data):
 
     res = {key: val for key, val in zip(res.index.values, res[res.columns[0]].values)}
 
-    expected = dict(a=2.0, b=4.0, _other_=6.0)
+    expected = dict(phase_a=2.0, phase_b=4.0, _other_=6.0)
     expected["*sum*"] = 12.0
 
     assert res == expected