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Lucía Montañana
2025-03-27 16:23:27 +01:00
parent f293a4c305
commit b9637409bd
3 changed files with 323 additions and 169 deletions
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2
.idea/PythonProject.iml generated
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@@ -2,7 +2,7 @@
<module type="PYTHON_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$" />
<orderEntry type="jdk" jdkName="Python 3.12" jdkType="Python SDK" />
<orderEntry type="jdk" jdkName="Python 3.13" jdkType="Python SDK" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
</module>

110
TestEtiquetado.ipynb
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@@ -9,8 +9,8 @@
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@@ -32,8 +32,8 @@
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@@ -55,8 +55,8 @@
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@@ -78,8 +78,8 @@
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@@ -115,8 +115,8 @@
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@@ -371,8 +371,8 @@
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@@ -460,8 +460,8 @@
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@@ -492,8 +492,8 @@
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@@ -516,8 +516,8 @@
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@@ -550,8 +550,8 @@
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}
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@@ -582,8 +582,8 @@
"id": "1dfbc859",
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@@ -618,8 +618,8 @@
"id": "aa4aa1a2",
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@@ -633,8 +633,8 @@
"id": "ef4a6478",
"metadata": {
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"end_time": "2025-03-02T19:16:52.896034Z",
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"source": [
@@ -661,19 +661,14 @@
],
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\lucia\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.12_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python312\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n",
"Summarize dataset: 80%|████████ | 28/35 [00:06<00:01, 6.63it/s, Describe variable:Movement] C:\\Users\\lucia\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.12_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python312\\site-packages\\ydata_profiling\\model\\pandas\\describe_date_pandas.py:57: UserWarning: Discarding nonzero nanoseconds in conversion.\n",
" \"min\": pd.Timestamp.to_pydatetime(series.min()),\n",
"C:\\Users\\lucia\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.12_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python312\\site-packages\\ydata_profiling\\model\\pandas\\describe_date_pandas.py:58: UserWarning: Discarding nonzero nanoseconds in conversion.\n",
" \"max\": pd.Timestamp.to_pydatetime(series.max()),\n",
"Summarize dataset: 100%|██████████| 613/613 [01:43<00:00, 5.91it/s, Completed] \n",
"Generate report structure: 100%|██████████| 1/1 [00:09<00:00, 9.54s/it]\n",
"Render HTML: 100%|██████████| 1/1 [00:17<00:00, 17.93s/it]\n",
"Export report to file: 100%|██████████| 1/1 [00:00<00:00, 5.79it/s]\n"
"ename": "ModuleNotFoundError",
"evalue": "No module named 'ydata_profiling'",
"output_type": "error",
"traceback": [
"\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
"\u001B[1;31mModuleNotFoundError\u001B[0m Traceback (most recent call last)",
"Cell \u001B[1;32mIn[13], line 2\u001B[0m\n\u001B[0;32m 1\u001B[0m \u001B[38;5;66;03m# Generate analysis info into html folder\u001B[39;00m\n\u001B[1;32m----> 2\u001B[0m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;21;01mydata_profiling\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m ProfileReport\n\u001B[0;32m 4\u001B[0m profile \u001B[38;5;241m=\u001B[39m ProfileReport(data_df, title\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mOpenBCI Data Profiling Report\u001B[39m\u001B[38;5;124m\"\u001B[39m, explorative\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mTrue\u001B[39;00m)\n\u001B[0;32m 5\u001B[0m report \u001B[38;5;241m=\u001B[39m ProfileReport(\n\u001B[0;32m 6\u001B[0m data_df,\n\u001B[0;32m 7\u001B[0m title\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124morigin file OpenBCI\u001B[39m\u001B[38;5;124m\"\u001B[39m,\n\u001B[1;32m (...)\u001B[0m\n\u001B[0;32m 17\u001B[0m },\n\u001B[0;32m 18\u001B[0m )\n",
"\u001B[1;31mModuleNotFoundError\u001B[0m: No module named 'ydata_profiling'"
]
}
],
@@ -684,7 +679,7 @@
"id": "09039cdf",
"metadata": {
"ExecuteTime": {
"end_time": "2025-03-02T19:24:14.038282Z",
"end_time": "2025-03-26T17:01:58.013688100Z",
"start_time": "2025-03-02T19:24:13.189122Z"
}
},
@@ -720,41 +715,6 @@
}
],
"execution_count": 20
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-03-02T19:19:56.383373Z",
"start_time": "2025-03-02T19:19:54.731156Z"
}
},
"cell_type": "code",
"source": [
"# Clean the dataset\n",
"dataset = pd.read_csv(os.path.join(\"csv\", 'openbci.csv'))\n",
"\n",
"print(\"Column Timestamp is not useful, dropping it\")\n",
"dataset = dataset.drop(columns=['Timestamp'])\n",
"for column in dataset.columns:\n",
" if dataset[column].unique().size == 1:\n",
" print(f\"Column {column} has only one unique value, dropping it\")\n",
" dataset = dataset.drop(columns=[column])"
],
"id": "a84eb1933bd93977",
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Column Timestamp is not useful, dropping it\n",
"Column Analog Channel 0 has only one unique value, dropping it\n",
"Column Analog Channel 1 has only one unique value, dropping it\n",
"Column Analog Channel 2 has only one unique value, dropping it\n",
"Column Marker Channel has only one unique value, dropping it\n"
]
}
],
"execution_count": 16
}
],
"metadata": {

380
classifier.ipynb
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