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Tsfresh Blog #408 #474

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2 changes: 1 addition & 1 deletion tutorials/tsfresh/requirements.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@ ipykernel==6.29.5
numpy==1.26.4
pandas==2.2.3
matplotlib==3.9.4
scipy==1.13.1
scipy>=1.14.0

# tsfresh.
tsfresh==0.20.3
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59 changes: 36 additions & 23 deletions tutorials/tsfresh/tsfresh_example.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -68,7 +68,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"id": "3aa7ce61",
"metadata": {
"id": "3aa7ce61",
Expand All @@ -92,53 +92,56 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"id": "17e69980",
"metadata": {
"id": "17e69980",
"lines_to_next_cell": 2
},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Dataset ready at: uci_har_data/UCI HAR Dataset\n"
]
}
],
"source": [
"import pathlib.Path as path\n",
"from pathlib import Path\n",
"import zipfile\n",
"\n",
"import numpy as np\n",
"import requests\n",
"import tqdm.tqdm as tq_vis\n",
"from tqdm import tqdm\n",
"\n",
"np.random.seed(42)\n",
"\n",
"DATA_URL = \"https://archive.ics.uci.edu/ml/machine-learning-databases/00240/UCI%20HAR%20Dataset.zip\"\n",
"DATA_DIR = path(\"./uci_har_data\")\n",
"\n",
"\n",
"# ## 2) Download the UCI HAR dataset\n",
"#\n",
"# If the dataset hasn't been downloaded, this function will download it.\n",
"\n",
"DATA_DIR = Path(\"./uci_har_data\") # ✅ corrected here\n",
"\n",
"def fetch_data(url=DATA_URL, out_dir=DATA_DIR):\n",
" out_dir.mkdir(parents=True, exist_ok=True)\n",
" zip_path = out_dir / \"UCI_HAR_Dataset.zip\"\n",
"\n",
" if not zip_path.exists():\n",
" resp = requests.get(url, stream=True, timeout=20)\n",
" resp.raise_for_status()\n",
" total = int(resp.headers.get(\"content-length\", 0))\n",
" with (\n",
" open(zip_path, \"wb\") as f,\n",
" tq_vis(total=total, unit=\"B\", unit_scale=True) as pbar,\n",
" ):\n",
" with open(zip_path, \"wb\") as f, tqdm(total=total, unit=\"B\", unit_scale=True, desc=\"Downloading\") as pbar:\n",
" for chunk in resp.iter_content(chunk_size=8192):\n",
" if chunk:\n",
" f.write(chunk)\n",
" pbar.update(len(chunk))\n",
" with zipfile.ZipFile(zip_path, \"r\") as zf:\n",
" zf.extractall(out_dir)\n",
" return out_dir / \"UCI HAR Dataset\"\n",
"\n",
" extract_path = out_dir / \"UCI HAR Dataset\"\n",
" if not extract_path.exists():\n",
" with zipfile.ZipFile(zip_path, \"r\") as zf:\n",
" zf.extractall(out_dir)\n",
"\n",
"har_root = fetch_data()"
" return extract_path\n",
"\n",
"har_root = fetch_data()\n",
"print(f\"Dataset ready at: {har_root}\")"
]
},
{
Expand Down Expand Up @@ -435,11 +438,21 @@
"main_language": "python"
},
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"name": "python"
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.13"
}
},
"nbformat": 4,
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