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✨ Try ISTAT source
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README.ipynb
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README.ipynb
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"text": [
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"/mnt/tera/ext4/code/sdmx-sandbox/venv/lib/python3.9/site-packages/pandasdmx/remote.py:11: RuntimeWarning: optional dependency requests_cache is not installed; cache options to Session() have no effect\n",
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" warn(\n"
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"source": [
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"source": [
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"import pandas\n",
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"import pandas\n",
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"import pandasdmx\n",
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"import pandasdmx\n",
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"cell_type": "markdown",
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"source": [
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"## Proviamo con l'`ISTAT`"
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"name": "#%% md\n"
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{
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"data": {
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"text/plain": "(101_1015 Crops\n 101_1030 PDO, PGI and TSG quality products\n 101_1033 slaughtering\n 101_1039 Agritourism - municipalities\n 101_1077 PDO, PGI and TSG products: operators - munici...\n ... \n 97_953 Environmental protection expenditure\n 98_1066 Productivity measures - Accounts in the 2014 v...\n 98_1067 Productivity measures - Accounts in the 2011 v...\n 98_197 Productivity measures\n 9_951 Mining and quarrying\n Length: 458, dtype: object,\n DCSP_COLTIVAZIONI \n DCSP_DOPIGP \n DCSP_MACELLAZIONI \n DCSP_AGRITURISMO_COM \n DCSP_DOPIGP_COM \n ..\n DCCN_SPESAPROTAMB \n DCCN_PRODUTTIVITA_B14 \n DCCN_PRODUTTIVITA_B11 \n DCCN_PRODUTTIVITA \n DCCV_CAVE_MIN \n Length: 447, dtype: object)"
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"istat: pandasdmx.Request = pandasdmx.Request(\"ISTAT\")\n",
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"istat_flows_msg: pandasdmx.message.Message = istat.dataflow()\n",
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"_dict: dict[str, pandas.Series] = istat_flows_msg.to_pandas()\n",
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"istat_flows: pandas.Series = _dict[\"dataflow\"]\n",
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"istat_structs: pandas.Series = _dict[\"structure\"]\n",
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"istat_flows, istat_structs"
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],
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"metadata": {
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