diff --git a/notebooks/01-results-process.ipynb b/notebooks/01-results-process.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\users\\sdotson\\research\\ucsmpl\\UCSmpl\\__init__.py:2: DeprecationWarning:\n",
+      "\n",
+      "pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pypsa\n",
+    "import seaborn as sb\n",
+    "from glob import glob\n",
+    "import os\n",
+    "import sys\n",
+    "from pathlib import Path\n",
+    "from tqdm import tqdm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results_path = Path('../results/')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['..\\\\results\\\\cost-2018_growth-0.01_demand-1.36E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2018_growth-0.01_demand-1.85E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2018_growth-0_demand-1.36E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2018_growth-0_demand-1.85E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2019_growth-0.01_demand-1.36E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2019_growth-0.01_demand-1.85E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2019_growth-0_demand-1.36E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2019_growth-0_demand-1.85E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2020_growth-0.01_demand-1.36E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2020_growth-0.01_demand-1.85E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2020_growth-0_demand-1.36E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2020_growth-0_demand-1.85E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2021_growth-0.01_demand-1.36E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2021_growth-0.01_demand-1.85E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2021_growth-0_demand-1.36E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2021_growth-0_demand-1.85E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2022_growth-0.01_demand-1.36E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2022_growth-0.01_demand-1.85E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2022_growth-0_demand-1.36E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2022_growth-0_demand-1.85E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2023_growth-0.01_demand-1.36E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2023_growth-0.01_demand-1.85E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2023_growth-0_demand-1.36E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc',\n",
+       " '..\\\\results\\\\cost-2023_growth-0_demand-1.85E+08_atb-Moderate_v11.0\\\\networks\\\\illinois_solved.nc']"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "networks_list = glob(str(results_path/'**'/'networks'/'*.nc'))\n",
+    "networks_list = [file for file in networks_list if \"old_results\" not in file]\n",
+    "networks_list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_active_units(n):\n",
+    "    c = \"StorageUnit\"\n",
+    "    df = pd.concat(\n",
+    "        {\n",
+    "            period: n.get_active_assets(c, period) * n.df(c).p_nom_opt\n",
+    "            for period in n.investment_periods\n",
+    "        },\n",
+    "        axis=1,\n",
+    "    )\n",
+    "    df = df.groupby(n.storage_units.carrier).sum()\n",
+    "\n",
+    "    c = \"Generator\"\n",
+    "    df2 = pd.concat(\n",
+    "        {\n",
+    "            period: n.get_active_assets(c, period) * n.df(c).p_nom_opt\n",
+    "            for period in n.investment_periods\n",
+    "        },\n",
+    "        axis=1,\n",
+    "    )\n",
+    "    df2 = df2.groupby(n.generators.carrier).sum()\n",
+    "    df = pd.concat([df, df2])\n",
+    "    \n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "  0%|          | 0/24 [00:00<?, ?it/s]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      "  4%|▍         | 1/24 [00:15<05:48, 15.14s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      "  8%|▊         | 2/24 [00:31<05:53, 16.05s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 12%|█▎        | 3/24 [00:47<05:33, 15.88s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 17%|█▋        | 4/24 [01:11<06:21, 19.10s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 21%|██        | 5/24 [01:29<05:52, 18.57s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 25%|██▌       | 6/24 [01:48<05:36, 18.69s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 29%|██▉       | 7/24 [02:03<04:58, 17.55s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 33%|███▎      | 8/24 [02:21<04:46, 17.91s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 38%|███▊      | 9/24 [02:38<04:23, 17.55s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 42%|████▏     | 10/24 [02:58<04:15, 18.27s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 46%|████▌     | 11/24 [03:15<03:51, 17.79s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 50%|█████     | 12/24 [03:33<03:35, 17.96s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 54%|█████▍    | 13/24 [03:50<03:13, 17.55s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 58%|█████▊    | 14/24 [04:06<02:52, 17.20s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 62%|██████▎   | 15/24 [04:23<02:34, 17.11s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 67%|██████▋   | 16/24 [04:39<02:14, 16.86s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 71%|███████   | 17/24 [04:57<01:59, 17.02s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 75%|███████▌  | 18/24 [05:15<01:43, 17.26s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 79%|███████▉  | 19/24 [05:32<01:26, 17.24s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 83%|████████▎ | 20/24 [05:49<01:09, 17.39s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 88%|████████▊ | 21/24 [06:06<00:51, 17.18s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 92%|█████████▏| 22/24 [06:24<00:34, 17.33s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 96%|█████████▌| 23/24 [06:39<00:16, 16.76s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      "                                               \r"
+     ]
+    }
+   ],
+   "source": [
+    "frames = []\n",
+    "for network in tqdm(networks_list, leave=False):\n",
+    "    parameters = network.split('\\\\')[2].split('_')\n",
+    "    \n",
+    "    n = pypsa.Network(network)\n",
+    "    \n",
+    "    data = get_active_units(n).T\n",
+    "    \n",
+    "    for i, param in enumerate(parameters[:-1]):\n",
+    "        value = param.split('-')[1]\n",
+    "        if i == 0:\n",
+    "            data['fuel_cost_year'] = value\n",
+    "        elif i==1:\n",
+    "            data['growth'] = value\n",
+    "        elif i==2:\n",
+    "            if float(value) > 180e6:\n",
+    "                data['export'] = 'yes'\n",
+    "            else:\n",
+    "                data['export'] = 'no'\n",
+    "        elif i==3:\n",
+    "            data['atb_case'] = 'value'\n",
+    "    frames.append(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cap = pd.concat(frames, axis=0).reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cap = cap.rename(columns={'index':'year'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "battery_cap = cap.pivot_table(index=['growth','export', 'fuel_cost_year'],\n",
+    "                columns=['year'],\n",
+    "                values='Batteries')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "battery_cap_flat =battery_cap.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cap['year'] = cap['year'].astype('int')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cap.to_csv('capacity_results.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "sb.lineplot(data=cap, x='year',y='Batteries', hue='export', style='growth')\n",
+    "\n",
+    "ax.set_xticks(cap.year.unique())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.PairGrid at 0x167b77315d0>"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 823.875x750 with 9 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sb.pairplot(data=cap.loc[cap['year']==2050, ['Wind', 'Solar', 'Batteries','export']], hue='export', corner=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "TECH_ORDER = ['Nuclear',\n",
+    "              'Coal',\n",
+    "              'Natural Gas',\n",
+    "              'Biomass',\n",
+    "              'Petroleum',\n",
+    "              'Wind',\n",
+    "              'Solar',\n",
+    "              ]\n",
+    "def power_by_carrier(n):\n",
+    "    p_by_carrier = n.generators_t.p.T.groupby(\n",
+    "        n.generators.carrier).sum().T \n",
+    "    \n",
+    "    if not n.storage_units.empty:\n",
+    "        sto = n.storage_units_t.p.T.clip(lower=0).groupby(\n",
+    "            n.storage_units.carrier).sum().T\n",
+    "        p_by_carrier = pd.concat([p_by_carrier, sto], axis=1)\n",
+    "        \n",
+    "    last_cols = [col for col in p_by_carrier.columns if col not in TECH_ORDER]\n",
+    "\n",
+    "    p_by_carrier = p_by_carrier[TECH_ORDER+last_cols]\n",
+    "\n",
+    "    return p_by_carrier"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 136,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "  0%|          | 0/24 [00:00<?, ?it/s]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      "  4%|▍         | 1/24 [00:17<06:32, 17.07s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      "  8%|▊         | 2/24 [00:35<06:36, 18.03s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 12%|█▎        | 3/24 [01:14<09:39, 27.59s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 17%|█▋        | 4/24 [01:44<09:31, 28.59s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 21%|██        | 5/24 [02:03<07:58, 25.17s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 25%|██▌       | 6/24 [02:22<06:53, 22.99s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 29%|██▉       | 7/24 [02:41<06:07, 21.62s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 33%|███▎      | 8/24 [03:02<05:40, 21.31s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 38%|███▊      | 9/24 [03:21<05:12, 20.84s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 42%|████▏     | 10/24 [03:41<04:45, 20.43s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 46%|████▌     | 11/24 [04:01<04:22, 20.19s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 50%|█████     | 12/24 [04:21<04:04, 20.36s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 54%|█████▍    | 13/24 [04:40<03:36, 19.69s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 58%|█████▊    | 14/24 [05:00<03:18, 19.81s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 62%|██████▎   | 15/24 [05:19<02:57, 19.69s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 67%|██████▋   | 16/24 [05:39<02:39, 19.91s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 71%|███████   | 17/24 [05:59<02:18, 19.83s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 75%|███████▌  | 18/24 [06:19<01:58, 19.77s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 79%|███████▉  | 19/24 [06:37<01:36, 19.37s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 83%|████████▎ | 20/24 [06:57<01:17, 19.38s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 88%|████████▊ | 21/24 [07:15<00:56, 18.96s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 92%|█████████▏| 22/24 [07:33<00:37, 18.72s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      " 96%|█████████▌| 23/24 [07:51<00:18, 18.70s/it]INFO:pypsa.io:Imported network illinois_solved.nc has buses, carriers, generators, global_constraints, lines, loads, storage_units\n",
+      "                                               \r"
+     ]
+    }
+   ],
+   "source": [
+    "frames = []\n",
+    "for network in tqdm(networks_list, leave=False):\n",
+    "    parameters = network.split('\\\\')[2].split('_')\n",
+    "    \n",
+    "    n = pypsa.Network(network)\n",
+    "    \n",
+    "    data = power_by_carrier(n).resample('YE',level='timestep').sum().replace(0, np.nan).dropna(how='all', axis=0).fillna(0)\n",
+    "    \n",
+    "    data.index = data.index.year\n",
+    "    \n",
+    "    for i, param in enumerate(parameters[:-1]):\n",
+    "        value = param.split('-')[1]\n",
+    "        if i == 0:\n",
+    "            data['fuel_cost_year'] = value\n",
+    "        elif i==1:\n",
+    "            data['growth'] = value\n",
+    "        elif i==2:\n",
+    "            if float(value) > 180e6:\n",
+    "                data['export'] = 'yes'\n",
+    "            else:\n",
+    "                data['export'] = 'no'\n",
+    "        elif i==3:\n",
+    "            data['atb_case'] = 'moderate'\n",
+    "    frames.append(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 137,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "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>carrier</th>\n",
+       "      <th>Nuclear</th>\n",
+       "      <th>Coal</th>\n",
+       "      <th>Natural Gas</th>\n",
+       "      <th>Biomass</th>\n",
+       "      <th>Petroleum</th>\n",
+       "      <th>Wind</th>\n",
+       "      <th>Solar</th>\n",
+       "      <th>Batteries</th>\n",
+       "      <th>fuel_cost_year</th>\n",
+       "      <th>growth</th>\n",
+       "      <th>export</th>\n",
+       "      <th>atb_case</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>timestep</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2030</th>\n",
+       "      <td>1.049315e+08</td>\n",
+       "      <td>3.222303e+06</td>\n",
+       "      <td>8.167624e+06</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.801892e+07</td>\n",
+       "      <td>1.659649e+06</td>\n",
+       "      <td>2.154967e+06</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>no</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2035</th>\n",
+       "      <td>1.079255e+08</td>\n",
+       "      <td>4.263667e+06</td>\n",
+       "      <td>2.007739e+07</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>8.284770e+06</td>\n",
+       "      <td>1.848658e+06</td>\n",
+       "      <td>1.952532e+06</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>no</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2040</th>\n",
+       "      <td>1.016369e+08</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>4.006726e+06</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.435938e+07</td>\n",
+       "      <td>1.963346e+07</td>\n",
+       "      <td>1.922535e+07</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>no</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2045</th>\n",
+       "      <td>9.803149e+07</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.792997e+07</td>\n",
+       "      <td>3.041681e+07</td>\n",
+       "      <td>4.258172e+07</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>no</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2050</th>\n",
+       "      <td>9.794443e+07</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.337891e+07</td>\n",
+       "      <td>3.226193e+07</td>\n",
+       "      <td>4.162270e+07</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>no</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2030</th>\n",
+       "      <td>1.061454e+08</td>\n",
+       "      <td>4.263667e+06</td>\n",
+       "      <td>1.766106e+07</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.132053e+07</td>\n",
+       "      <td>1.560937e+07</td>\n",
+       "      <td>1.145763e+03</td>\n",
+       "      <td>2023</td>\n",
+       "      <td>0</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2035</th>\n",
+       "      <td>1.060370e+08</td>\n",
+       "      <td>4.263667e+06</td>\n",
+       "      <td>2.007739e+07</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.625430e+07</td>\n",
+       "      <td>1.784937e+07</td>\n",
+       "      <td>8.063830e+06</td>\n",
+       "      <td>2023</td>\n",
+       "      <td>0</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2040</th>\n",
+       "      <td>1.002995e+08</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>3.605942e+06</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>5.105366e+07</td>\n",
+       "      <td>3.010957e+07</td>\n",
+       "      <td>3.422404e+07</td>\n",
+       "      <td>2023</td>\n",
+       "      <td>0</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2045</th>\n",
+       "      <td>9.805979e+07</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.837446e+07</td>\n",
+       "      <td>3.855960e+07</td>\n",
+       "      <td>5.677830e+07</td>\n",
+       "      <td>2023</td>\n",
+       "      <td>0</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2050</th>\n",
+       "      <td>9.797364e+07</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>5.770346e+07</td>\n",
+       "      <td>2.977862e+07</td>\n",
+       "      <td>4.522805e+07</td>\n",
+       "      <td>2023</td>\n",
+       "      <td>0</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>120 rows × 12 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "carrier        Nuclear          Coal   Natural Gas  Biomass  Petroleum  \\\n",
+       "timestep                                                                 \n",
+       "2030      1.049315e+08  3.222303e+06  8.167624e+06      0.0        0.0   \n",
+       "2035      1.079255e+08  4.263667e+06  2.007739e+07      0.0        0.0   \n",
+       "2040      1.016369e+08  0.000000e+00  4.006726e+06      0.0        0.0   \n",
+       "2045      9.803149e+07  0.000000e+00  0.000000e+00      0.0        0.0   \n",
+       "2050      9.794443e+07  0.000000e+00  0.000000e+00      0.0        0.0   \n",
+       "...                ...           ...           ...      ...        ...   \n",
+       "2030      1.061454e+08  4.263667e+06  1.766106e+07      0.0        0.0   \n",
+       "2035      1.060370e+08  4.263667e+06  2.007739e+07      0.0        0.0   \n",
+       "2040      1.002995e+08  0.000000e+00  3.605942e+06      0.0        0.0   \n",
+       "2045      9.805979e+07  0.000000e+00  0.000000e+00      0.0        0.0   \n",
+       "2050      9.797364e+07  0.000000e+00  0.000000e+00      0.0        0.0   \n",
+       "\n",
+       "carrier           Wind         Solar     Batteries fuel_cost_year growth  \\\n",
+       "timestep                                                                   \n",
+       "2030      1.801892e+07  1.659649e+06  2.154967e+06           2018   0.01   \n",
+       "2035      8.284770e+06  1.848658e+06  1.952532e+06           2018   0.01   \n",
+       "2040      2.435938e+07  1.963346e+07  1.922535e+07           2018   0.01   \n",
+       "2045      2.792997e+07  3.041681e+07  4.258172e+07           2018   0.01   \n",
+       "2050      3.337891e+07  3.226193e+07  4.162270e+07           2018   0.01   \n",
+       "...                ...           ...           ...            ...    ...   \n",
+       "2030      4.132053e+07  1.560937e+07  1.145763e+03           2023      0   \n",
+       "2035      3.625430e+07  1.784937e+07  8.063830e+06           2023      0   \n",
+       "2040      5.105366e+07  3.010957e+07  3.422404e+07           2023      0   \n",
+       "2045      4.837446e+07  3.855960e+07  5.677830e+07           2023      0   \n",
+       "2050      5.770346e+07  2.977862e+07  4.522805e+07           2023      0   \n",
+       "\n",
+       "carrier  export  atb_case  \n",
+       "timestep                   \n",
+       "2030         no  moderate  \n",
+       "2035         no  moderate  \n",
+       "2040         no  moderate  \n",
+       "2045         no  moderate  \n",
+       "2050         no  moderate  \n",
+       "...         ...       ...  \n",
+       "2030        yes  moderate  \n",
+       "2035        yes  moderate  \n",
+       "2040        yes  moderate  \n",
+       "2045        yes  moderate  \n",
+       "2050        yes  moderate  \n",
+       "\n",
+       "[120 rows x 12 columns]"
+      ]
+     },
+     "execution_count": 137,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gen = pd.concat(frames, axis=0)\n",
+    "gen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 138,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gen.to_csv(\"annual_generation_results.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 139,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "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>carrier</th>\n",
+       "      <th>timestep</th>\n",
+       "      <th>Nuclear</th>\n",
+       "      <th>Coal</th>\n",
+       "      <th>Natural Gas</th>\n",
+       "      <th>Biomass</th>\n",
+       "      <th>Petroleum</th>\n",
+       "      <th>Wind</th>\n",
+       "      <th>Solar</th>\n",
+       "      <th>Batteries</th>\n",
+       "      <th>fuel_cost_year</th>\n",
+       "      <th>growth</th>\n",
+       "      <th>export</th>\n",
+       "      <th>atb_case</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2030</td>\n",
+       "      <td>1.049315e+08</td>\n",
+       "      <td>3.222303e+06</td>\n",
+       "      <td>8.167624e+06</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.801892e+07</td>\n",
+       "      <td>1.659649e+06</td>\n",
+       "      <td>2.154967e+06</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>no</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2035</td>\n",
+       "      <td>1.079255e+08</td>\n",
+       "      <td>4.263667e+06</td>\n",
+       "      <td>2.007739e+07</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>8.284770e+06</td>\n",
+       "      <td>1.848658e+06</td>\n",
+       "      <td>1.952532e+06</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>no</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2040</td>\n",
+       "      <td>1.016369e+08</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>4.006726e+06</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.435938e+07</td>\n",
+       "      <td>1.963346e+07</td>\n",
+       "      <td>1.922535e+07</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>no</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2045</td>\n",
+       "      <td>9.803149e+07</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.792997e+07</td>\n",
+       "      <td>3.041681e+07</td>\n",
+       "      <td>4.258172e+07</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>no</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2050</td>\n",
+       "      <td>9.794443e+07</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.337891e+07</td>\n",
+       "      <td>3.226193e+07</td>\n",
+       "      <td>4.162270e+07</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>no</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>115</th>\n",
+       "      <td>2030</td>\n",
+       "      <td>1.061454e+08</td>\n",
+       "      <td>4.263667e+06</td>\n",
+       "      <td>1.766106e+07</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.132053e+07</td>\n",
+       "      <td>1.560937e+07</td>\n",
+       "      <td>1.145763e+03</td>\n",
+       "      <td>2023</td>\n",
+       "      <td>0</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>116</th>\n",
+       "      <td>2035</td>\n",
+       "      <td>1.060370e+08</td>\n",
+       "      <td>4.263667e+06</td>\n",
+       "      <td>2.007739e+07</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.625430e+07</td>\n",
+       "      <td>1.784937e+07</td>\n",
+       "      <td>8.063830e+06</td>\n",
+       "      <td>2023</td>\n",
+       "      <td>0</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>117</th>\n",
+       "      <td>2040</td>\n",
+       "      <td>1.002995e+08</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>3.605942e+06</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>5.105366e+07</td>\n",
+       "      <td>3.010957e+07</td>\n",
+       "      <td>3.422404e+07</td>\n",
+       "      <td>2023</td>\n",
+       "      <td>0</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>118</th>\n",
+       "      <td>2045</td>\n",
+       "      <td>9.805979e+07</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.837446e+07</td>\n",
+       "      <td>3.855960e+07</td>\n",
+       "      <td>5.677830e+07</td>\n",
+       "      <td>2023</td>\n",
+       "      <td>0</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>119</th>\n",
+       "      <td>2050</td>\n",
+       "      <td>9.797364e+07</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>5.770346e+07</td>\n",
+       "      <td>2.977862e+07</td>\n",
+       "      <td>4.522805e+07</td>\n",
+       "      <td>2023</td>\n",
+       "      <td>0</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>moderate</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>120 rows × 13 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "carrier  timestep       Nuclear          Coal   Natural Gas  Biomass  \\\n",
+       "0            2030  1.049315e+08  3.222303e+06  8.167624e+06      0.0   \n",
+       "1            2035  1.079255e+08  4.263667e+06  2.007739e+07      0.0   \n",
+       "2            2040  1.016369e+08  0.000000e+00  4.006726e+06      0.0   \n",
+       "3            2045  9.803149e+07  0.000000e+00  0.000000e+00      0.0   \n",
+       "4            2050  9.794443e+07  0.000000e+00  0.000000e+00      0.0   \n",
+       "..            ...           ...           ...           ...      ...   \n",
+       "115          2030  1.061454e+08  4.263667e+06  1.766106e+07      0.0   \n",
+       "116          2035  1.060370e+08  4.263667e+06  2.007739e+07      0.0   \n",
+       "117          2040  1.002995e+08  0.000000e+00  3.605942e+06      0.0   \n",
+       "118          2045  9.805979e+07  0.000000e+00  0.000000e+00      0.0   \n",
+       "119          2050  9.797364e+07  0.000000e+00  0.000000e+00      0.0   \n",
+       "\n",
+       "carrier  Petroleum          Wind         Solar     Batteries fuel_cost_year  \\\n",
+       "0              0.0  1.801892e+07  1.659649e+06  2.154967e+06           2018   \n",
+       "1              0.0  8.284770e+06  1.848658e+06  1.952532e+06           2018   \n",
+       "2              0.0  2.435938e+07  1.963346e+07  1.922535e+07           2018   \n",
+       "3              0.0  2.792997e+07  3.041681e+07  4.258172e+07           2018   \n",
+       "4              0.0  3.337891e+07  3.226193e+07  4.162270e+07           2018   \n",
+       "..             ...           ...           ...           ...            ...   \n",
+       "115            0.0  4.132053e+07  1.560937e+07  1.145763e+03           2023   \n",
+       "116            0.0  3.625430e+07  1.784937e+07  8.063830e+06           2023   \n",
+       "117            0.0  5.105366e+07  3.010957e+07  3.422404e+07           2023   \n",
+       "118            0.0  4.837446e+07  3.855960e+07  5.677830e+07           2023   \n",
+       "119            0.0  5.770346e+07  2.977862e+07  4.522805e+07           2023   \n",
+       "\n",
+       "carrier growth export  atb_case  \n",
+       "0         0.01     no  moderate  \n",
+       "1         0.01     no  moderate  \n",
+       "2         0.01     no  moderate  \n",
+       "3         0.01     no  moderate  \n",
+       "4         0.01     no  moderate  \n",
+       "..         ...    ...       ...  \n",
+       "115          0    yes  moderate  \n",
+       "116          0    yes  moderate  \n",
+       "117          0    yes  moderate  \n",
+       "118          0    yes  moderate  \n",
+       "119          0    yes  moderate  \n",
+       "\n",
+       "[120 rows x 13 columns]"
+      ]
+     },
+     "execution_count": 139,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gen = gen.reset_index()\n",
+    "gen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 149,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = gen.melt(id_vars=['timestep','export','growth'],\n",
+    "                value_vars=['Batteries','Coal','Natural Gas','Nuclear','Solar','Wind'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = sb.lineplot(data=data, x='timestep', y='value', hue='carrier', style='export')\n",
+    "ax.legend(loc=(1,0.5))\n",
+    "ax.set_xticks(data['timestep'].unique())\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 151,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:matplotlib.category:Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
+      "INFO:matplotlib.category:Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = sb.boxenplot(data=data, x='timestep', y='value', hue='carrier')\n",
+    "ax.legend(loc=(1,0.5))\n",
+    "plt.tight_layout()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "pypsa-illinois",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}