2025-07-14 01:36:40 +04:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 33,
"id": "08417046-1a17-422e-96fd-6e4c546798e5",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import scipy.optimize\n"
]
},
{
"cell_type": "markdown",
"id": "aac96ba7-8c92-45bc-8e30-61b2dfd00292",
"metadata": {},
"source": [
"## Data Loading"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "d6d09847-a39c-4ac1-b423-058c1035e074",
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [],
"source": [
"def ocp_cor_import(filename):\n",
" \"\"\" Import cor file as pandas dataframe.\"\"\"\n",
" try: \n",
" df = pd.read_csv(\n",
" filename,\n",
" skiprows=26,\n",
" sep='\\s+',\n",
" header=None,\n",
" names=[\"E\", \"i\", \"T\"],\n",
" ) #index_col=\"Freq\")\n",
"\n",
" except FileNotFoundError as e:\n",
" print(f\"Error: File was not found.\")\n",
" print(e.message)\n",
" print(e.args)\n",
" return None\n",
" except Exception as e:\n",
" print(f\"Error reading the CSV file: {e}\")\n",
" return None\n",
" else:\n",
" return df"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "2ef66349-ca7c-4cc5-a426-15b5cd87f64b",
"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></th>\n",
" <th>E</th>\n",
" <th>i</th>\n",
" <th>T</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>-0.326304</td>\n",
" <td>5.000000e-11</td>\n",
" <td>0.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>-0.326281</td>\n",
" <td>5.000000e-11</td>\n",
" <td>0.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>-0.326251</td>\n",
" <td>5.000000e-11</td>\n",
" <td>0.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>-0.326228</td>\n",
" <td>5.000000e-11</td>\n",
" <td>0.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>-0.326211</td>\n",
" <td>5.000000e-11</td>\n",
" <td>0.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>143995</th>\n",
" <td>-0.152261</td>\n",
" <td>5.000000e-11</td>\n",
" <td>14399.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>143996</th>\n",
" <td>-0.152255</td>\n",
" <td>5.000000e-11</td>\n",
" <td>14399.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>143997</th>\n",
" <td>-0.152253</td>\n",
" <td>5.000000e-11</td>\n",
" <td>14399.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>143998</th>\n",
" <td>-0.152250</td>\n",
" <td>5.000000e-11</td>\n",
" <td>14399.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>143999</th>\n",
" <td>-0.152254</td>\n",
" <td>5.000000e-11</td>\n",
" <td>14400.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>144000 rows × 3 columns</p>\n",
"</div>"
],
"text/plain": [
" E i T\n",
"0 -0.326304 5.000000e-11 0.1\n",
"1 -0.326281 5.000000e-11 0.2\n",
"2 -0.326251 5.000000e-11 0.3\n",
"3 -0.326228 5.000000e-11 0.4\n",
"4 -0.326211 5.000000e-11 0.5\n",
"... ... ... ...\n",
"143995 -0.152261 5.000000e-11 14399.6\n",
"143996 -0.152255 5.000000e-11 14399.7\n",
"143997 -0.152253 5.000000e-11 14399.8\n",
"143998 -0.152250 5.000000e-11 14399.9\n",
"143999 -0.152254 5.000000e-11 14400.0\n",
"\n",
"[144000 rows x 3 columns]"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"OCP_CS_1_df = ocp_cor_import(\"Cast_Stellite1_OCP/OCP_1.cor\")\n",
"OCP_CS_2_df = ocp_cor_import(\"Cast_Stellite1_OCP/OCP_2.cor\")\n",
"OCP_CS_3_df = ocp_cor_import(\"Cast_Stellite1_OCP/OCP_3.cor\")\n",
"\n",
"\n",
"OCP_HS_1_df = ocp_cor_import(\"HIPed_Stellite1_OCP/OCP_1.cor\")\n",
"OCP_HS_2_df = ocp_cor_import(\"HIPed_Stellite1_OCP/OCP_2.cor\")\n",
"OCP_HS_3_df = ocp_cor_import(\"HIPed_Stellite1_OCP/OCP_3.cor\")\n",
"OCP_HS_4_df = ocp_cor_import(\"HIPed_Stellite1_OCP/OCP_4.cor\")\n",
"OCP_HS_5_df = ocp_cor_import(\"HIPed_Stellite1_OCP/OCP_5.cor\")\n",
"OCP_HS_6_df = ocp_cor_import(\"HIPed_Stellite1_OCP/OCP_6.cor\")\n",
"OCP_HS_7_df = ocp_cor_import(\"HIPed_Stellite1_OCP/OCP_7.cor\")\n",
"OCP_HS_8_df = ocp_cor_import(\"HIPed_Stellite1_OCP/OCP_8.cor\")\n",
"OCP_HS_9_df = ocp_cor_import(\"HIPed_Stellite1_OCP/OCP_9.cor\")\n",
"OCP_HS_10_df = ocp_cor_import(\"HIPed_Stellite1_OCP/OCP_10.cor\")\n",
"\n",
"\n",
"OCP_CS_1_df"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "ee262e1a-786f-42f5-8864-7b4573e593db",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ nan nan nan ... -0.152253 -0.15225 -0.152254]\n"
]
}
],
"source": [
"import scipy\n",
"from scipy.stats import zscore\n",
"\n",
"arr = OCP_CS_1_df[\"E\"].to_numpy()\n",
"arr[np.abs(zscore(OCP_CS_1_df[\"E\"])) > 3] = None\n",
"\n",
"print(arr)\n"
]
},
{
"cell_type": "code",
"execution_count": 53,
"id": "90a05869-b3dd-4349-9e1f-0f896c21ea04",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 1200x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from scipy.stats import zscore\n",
"\n",
"fig, ax = plt.subplots(figsize=(8,4), sharex=True, dpi=150)\n",
"\n",
"for df, name in zip([OCP_HS_7_df, OCP_HS_8_df], \n",
" [\"HS 7\", \"HS 8\"]):\n",
" arr = df[\"E\"].to_numpy()\n",
" arr[np.abs(zscore(df[\"E\"])) > 1] = None\n",
" ax.plot(df[\"T\"].to_numpy(), arr, label=name)\n",
"\n",
"\n",
"ax.legend()\n",
"ax.plot()\n"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "f065f9b8-3912-493d-8476-5e0d7368b6bc",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from scipy.stats import zscore\n",
"\n",
"fig, ax = plt.subplots(figsize=(8,4), sharex=True, dpi=150)\n",
"\n",
"for df, name in zip([OCP_CS_1_df, OCP_CS_2_df, OCP_CS_3_df], [\"CS 1\", \"CS 2\", \"CS 3\"]):\n",
" arr = df[\"E\"].to_numpy()\n",
" arr[np.abs(zscore(df[\"E\"])) > 1] = None\n",
" ax.plot(df[\"T\"].to_numpy(), arr, label=name)\n",
"\n",
"\n",
"ax.legend()\n",
"ax.plot()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0c066c0e-227b-4908-99c1-c26f1a7d0a21",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.10.16"
}
},
"nbformat": 4,
"nbformat_minor": 5
}