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@viktorht
viktorht committed Mar 20, 2024
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157 changes: 0 additions & 157 deletions article/notebooks/article_error_propagation_analysis.ipynb
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Expand Up @@ -4100,163 +4100,6 @@
"The coefficient of variation of the untransformed concentrations are approximately the same as those of the pseudobatch transformed concentrations, suggesting that in cases similar to ours the pseudobatch transformation introduces negligible additional error. In the case of glucose (excluded from plot), the uncertainty in the pseudo concentration does not increase as the measurement uncertainty increase. This is because the glucose concentration is very small during the fed-batch process."
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "128996a5",
"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",
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"\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>chain</th>\n",
" <th>draw</th>\n",
" <th>sample</th>\n",
" <th>species</th>\n",
" <th>pseudobatch_c</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>Biomass</td>\n",
" <td>1.428910</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>Glucose</td>\n",
" <td>-1.575290</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>Product</td>\n",
" <td>0.703932</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>Biomass</td>\n",
" <td>2.969960</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>Glucose</td>\n",
" <td>-4.090570</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
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" <tr>\n",
" <th>95995</th>\n",
" <td>3</td>\n",
" <td>999</td>\n",
" <td>6</td>\n",
" <td>Glucose</td>\n",
" <td>-176.772000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95996</th>\n",
" <td>3</td>\n",
" <td>999</td>\n",
" <td>6</td>\n",
" <td>Product</td>\n",
" <td>72.205600</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95997</th>\n",
" <td>3</td>\n",
" <td>999</td>\n",
" <td>7</td>\n",
" <td>Biomass</td>\n",
" <td>211.838000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95998</th>\n",
" <td>3</td>\n",
" <td>999</td>\n",
" <td>7</td>\n",
" <td>Glucose</td>\n",
" <td>-373.243000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95999</th>\n",
" <td>3</td>\n",
" <td>999</td>\n",
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" <td>Product</td>\n",
" <td>172.543000</td>\n",
" </tr>\n",
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"</table>\n",
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"</div>"
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"text/plain": [
" chain draw sample species pseudobatch_c\n",
"0 0 0 0 Biomass 1.428910\n",
"1 0 0 0 Glucose -1.575290\n",
"2 0 0 0 Product 0.703932\n",
"3 0 0 1 Biomass 2.969960\n",
"4 0 0 1 Glucose -4.090570\n",
"... ... ... ... ... ...\n",
"95995 3 999 6 Glucose -176.772000\n",
"95996 3 999 6 Product 72.205600\n",
"95997 3 999 7 Biomass 211.838000\n",
"95998 3 999 7 Glucose -373.243000\n",
"95999 3 999 7 Product 172.543000\n",
"\n",
"[96000 rows x 5 columns]"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(idata\n",
" .posterior['pseudobatch_c'].sel(species=[\"Biomass\", \"Glucose\", \"Product\"])\n",
" .to_dataframe()\n",
" .reset_index())"
]
},
{
"cell_type": "code",
"execution_count": 12,
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