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https://github.com/Steffo99/sdmx-sandbox.git
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💡 Solve the mystery of the empty structures
This commit is contained in:
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6965406171929D01
1 changed files with 45 additions and 41 deletions
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@ -6,7 +6,8 @@
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"# PandaSDMX\n",
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"\n",
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"- [Documentazione aggiornata (v1.4.1)](https://pandasdmx.readthedocs.io/en/latest/)\n",
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"- [Esempio approfondito (ma non troppo aggiornato)](https://pandasdmx.readthedocs.io/en/latest/walkthrough.html#sdmx-workflow)"
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"- [Esempio breve (con poche spiegazioni)](https://pandasdmx.readthedocs.io/en/master/example.html)\n",
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"- [Esempio approfondito (ma non troppo aggiornato)](https://pandasdmx.readthedocs.io/en/latest/walkthrough.html)"
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],
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"metadata": {
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"collapsed": false,
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@ -42,14 +43,14 @@
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"Requirement already satisfied: requests>=2.7 in ./venv/lib/python3.9/site-packages (from pandasdmx) (2.25.1)\r\n",
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"Requirement already satisfied: lxml>=3.6 in ./venv/lib/python3.9/site-packages (from pandasdmx) (4.6.2)\r\n",
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"Requirement already satisfied: pandas>=1.0 in ./venv/lib/python3.9/site-packages (from pandasdmx) (1.2.3)\r\n",
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"Requirement already satisfied: pytz>=2017.3 in ./venv/lib/python3.9/site-packages (from pandas>=1.0->pandasdmx) (2021.1)\r\n",
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"Requirement already satisfied: numpy>=1.16.5 in ./venv/lib/python3.9/site-packages (from pandas>=1.0->pandasdmx) (1.20.1)\r\n",
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"Requirement already satisfied: python-dateutil>=2.7.3 in ./venv/lib/python3.9/site-packages (from pandas>=1.0->pandasdmx) (2.8.1)\r\n",
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"Requirement already satisfied: pytz>=2017.3 in ./venv/lib/python3.9/site-packages (from pandas>=1.0->pandasdmx) (2021.1)\r\n",
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"Requirement already satisfied: six>=1.5 in ./venv/lib/python3.9/site-packages (from python-dateutil>=2.7.3->pandas>=1.0->pandasdmx) (1.15.0)\r\n",
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"Requirement already satisfied: idna<3,>=2.5 in ./venv/lib/python3.9/site-packages (from requests>=2.7->pandasdmx) (2.10)\r\n",
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"Requirement already satisfied: certifi>=2017.4.17 in ./venv/lib/python3.9/site-packages (from requests>=2.7->pandasdmx) (2020.12.5)\r\n",
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"Requirement already satisfied: chardet<5,>=3.0.2 in ./venv/lib/python3.9/site-packages (from requests>=2.7->pandasdmx) (4.0.0)\r\n",
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"Requirement already satisfied: urllib3<1.27,>=1.21.1 in ./venv/lib/python3.9/site-packages (from requests>=2.7->pandasdmx) (1.26.3)\r\n",
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"Requirement already satisfied: chardet<5,>=3.0.2 in ./venv/lib/python3.9/site-packages (from requests>=2.7->pandasdmx) (4.0.0)\r\n"
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"Requirement already satisfied: idna<3,>=2.5 in ./venv/lib/python3.9/site-packages (from requests>=2.7->pandasdmx) (2.10)\r\n",
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"Requirement already satisfied: certifi>=2017.4.17 in ./venv/lib/python3.9/site-packages (from requests>=2.7->pandasdmx) (2020.12.5)\r\n"
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]
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}
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],
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@ -95,7 +96,8 @@
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"# Per type annotations\n",
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"import pandasdmx.message\n",
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"import pandasdmx.model\n",
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"import pandasdmx.source"
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"import pandasdmx.source\n",
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"import pandasdmx.source.estat"
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],
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"metadata": {
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"collapsed": false,
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@ -122,7 +124,7 @@
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"outputs": [
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{
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"data": {
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"text/plain": "<pandasdmx.api.Request at 0x7f19b7fcba30>"
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"text/plain": "<pandasdmx.api.Request at 0x7fc5ec2b6970>"
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},
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"execution_count": 3,
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"metadata": {},
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@ -130,6 +132,7 @@
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}
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],
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"source": [
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"# Crea un \"client\" di comunicazione SDMX-ML con Eurostat\n",
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"eurostat: pandasdmx.Request = pandasdmx.Request(\"ESTAT\")\n",
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"eurostat"
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],
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@ -158,7 +161,7 @@
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"outputs": [
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{
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"data": {
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"text/plain": "<pandasdmx.StructureMessage>\n <Header>\n id: 'IDREF351597'\n prepared: '2021-03-12T10:31:59.307000+00:00'\n receiver: <Agency Unknown>\n sender: <Agency Unknown>\n source: \n test: False\n response: <Response [200]>\n DataflowDefinition (6573): DS-018995 DS-022469 DS-032655 DS-043227 DS...\n DataStructureDefinition (6573): DSD_DS-018995 DSD_DS-022469 DSD_DS-03..."
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"text/plain": "<pandasdmx.StructureMessage>\n <Header>\n id: 'IDREF372221'\n prepared: '2021-03-13T13:41:50.771000+00:00'\n receiver: <Agency Unknown>\n sender: <Agency Unknown>\n source: \n test: False\n response: <Response [200]>\n DataflowDefinition (6573): DS-018995 DS-022469 DS-032655 DS-043227 DS...\n DataStructureDefinition (6573): DSD_DS-018995 DSD_DS-022469 DSD_DS-03..."
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},
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"execution_count": 4,
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"metadata": {},
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@ -168,8 +171,8 @@
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"source": [
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"# Scarica i metadati di TUTTI dataflow disponibili su Eurostat\n",
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"# Ci mette qualche minuto: i dataflow sono 6573!\n",
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"flow_msg: pandasdmx.message.Message = eurostat.dataflow()\n",
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"flow_msg"
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"all_flows_msg: pandasdmx.message.Message = eurostat.dataflow()\n",
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"all_flows_msg"
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],
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"metadata": {
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"collapsed": false,
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@ -182,10 +185,10 @@
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"cell_type": "code",
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"source": [
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"# Convertiamo i risultati in due Series di pandas, una con i dataflow e una con la loro relativa struttura\n",
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"_dict: dict[str, pandas.Series] = flow_msg.to_pandas()\n",
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"dataflows = _dict[\"dataflow\"]\n",
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"structure = _dict[\"structure\"]\n",
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"dataflows, structure"
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"_dict: dict[str, pandas.Series] = all_flows_msg.to_pandas()\n",
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"all_flows: pandas.Series = _dict[\"dataflow\"]\n",
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"all_structs: pandas.Series = _dict[\"structure\"]\n",
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"all_flows, all_structs"
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],
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"metadata": {
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"collapsed": false,
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@ -193,13 +196,13 @@
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"name": "#%%\n"
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}
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},
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"execution_count": 13,
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"execution_count": 5,
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"outputs": [
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{
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"data": {
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"text/plain": "(DS-018995 EU trade since 1988 by SITC\n DS-022469 EXTRA EU trade since 1999 by mode of transport...\n DS-032655 EU trade since 1988 by BEC\n DS-043227 EFTA trade since 1995 by SITC\n DS-066341 Sold production, exports and imports by PRODCO...\n ... \n yth_incl_120 Young people living in households with very lo...\n yth_part_010 Frequency of getting together with relatives o...\n yth_part_020 Frequency of contacts with relatives or friend...\n yth_part_030 Participation of young people in activities of...\n yth_volunt_010 Participation of young people in informal volu...\n Length: 6573, dtype: object,\n DSD_DS-018995 \n DSD_DS-022469 \n DSD_DS-032655 \n DSD_DS-043227 \n DSD_DS-066341 \n ..\n DSD_yth_incl_120 \n DSD_yth_part_010 \n DSD_yth_part_020 \n DSD_yth_part_030 \n DSD_yth_volunt_010 \n Length: 6573, dtype: object)"
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},
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"execution_count": 13,
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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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@ -207,22 +210,22 @@
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"execution_count": 6,
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"outputs": [
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{
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"data": {
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"text/plain": "educ_enrl1ad Students by ISCED level, study intensity and sex\neduc_enrl1at Students by ISCED level, type of institution a...\neduc_enrl1tl Students by ISCED level, age and sex\neduc_enrl5 Tertiary students (ISCED 5-6) by field of educ...\neduc_enrl6 Tertiary students (ISCED 5-6) non-citizens, n...\neduc_enrl8 Tertiary students (ISCED 5-6) by country of ci...\neduc_enrllng1 Students in ISCED 1-3 by modern foreign langua...\neduc_enrllng2 Students in ISCED 1-3 by number of modern fore...\neduc_fiaid Financial aid to students\neduc_ilev Distribution of pupils/ students by level\neduc_iste Pupil/ student - teacher ratio and average cla...\neduc_mofo_dst Foreign students by level of education and cou...\neduc_mofo_fld Foreign students by level and field of education\neduc_mofo_gen Foreign students by level of education and sex\neduc_mofo_orig Foreign students by level of education and cou...\neduc_momo_dst Students going abroad by level of education an...\neduc_momo_fld Students from abroad by level and field of edu...\neduc_momo_gen Students from abroad by level of education and...\neduc_momo_orig Students from abroad by level of education and...\neduc_outc_pisa Underachieving 15-year-old students by sex and...\neduc_renrlrg1 Students by level of education, orientation, s...\neduc_renrlrg3 Students by age, sex and NUTS 2 regions\neduc_thmob Student mobility\neduc_uoe_enra01 Pupils and students enrolled by education leve...\neduc_uoe_enra02 Pupils and students enrolled by education leve...\neduc_uoe_enra03 Pupils and students enrolled by education leve...\neduc_uoe_enra04 Pupils and students by education level - as % ...\neduc_uoe_enra05 Pupils and students in education by age groups...\neduc_uoe_enra06 Pupils and students in education aged 30 and o...\neduc_uoe_enra07 Expected school years of pupils and students b...\neduc_uoe_enra08 Students in post-compulsory education - as % o...\neduc_uoe_enra09 Students participation at the end of compulsor...\neduc_uoe_enra11 Pupils and students enrolled by education leve...\neduc_uoe_enra12 Pupils and students enrolled by sex, age and N...\neduc_uoe_enra13 Distribution of pupils and students enrolled i...\neduc_uoe_enra16 Pupils and students enrolled by education leve...\neduc_uoe_enrt01 Students enrolled in tertiary education by edu...\neduc_uoe_enrt02 Students enrolled in tertiary education by edu...\neduc_uoe_enrt03 Students enrolled in tertiary education by edu...\neduc_uoe_enrt04 Distribution of students enrolled at tertiary ...\neduc_uoe_enrt05 Ratio of the proportion of tertiary students o...\neduc_uoe_enrt06 Students enrolled in tertiary education by edu...\neduc_uoe_enrt07 Students in tertiary education by age groups -...\neduc_uoe_enrt08 Students in tertiary education - as % of 20-24...\neduc_uoe_fina01 Financial aid to students by education level -...\neduc_uoe_fine09 Public expenditure on education per pupil/stud...\neduc_uoe_fine10 Pupils and students enrolled by education leve...\neduc_uoe_fini04 Annual expenditure on educational institutions...\neduc_uoe_fini06 Ratio of annual expenditure per student at the...\neduc_uoe_mobs01 Mobile students from abroad enrolled by educat...\neduc_uoe_mobs02 Mobile students from abroad enrolled by educat...\neduc_uoe_mobs03 Share of mobile students from abroad enrolled ...\neduc_uoe_mobs04 Distribution of mobile students from abroad en...\neduc_uoe_perp04 Ratio of pupils and students to teachers and a...\nhrst_fl_tefor Participation of foreign students in tertiary ...\ntsc00028 Doctorate students in science and technology f...\ndtype: object"
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},
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"execution_count": 17,
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"execution_count": 6,
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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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"# Cerchiamo nella Series i dataflows la cui descrizione contiene \"student\"\n",
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"# Cerchiamo nella Series i allflows la cui descrizione contiene \"student\"\n",
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"# https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.str.contains.html\n",
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"student_dataflows = dataflows[dataflows.str.contains(\"student\", case=False)]\n",
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"student_dataflows"
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"student_flows: pandas.Series = all_flows[all_flows.str.contains(\"student\", case=False)]\n",
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"student_flows"
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],
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"metadata": {
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"collapsed": false,
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@ -233,26 +236,29 @@
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},
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{
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"cell_type": "code",
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"execution_count": 33,
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"execution_count": 12,
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"outputs": [
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{
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"data": {
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"text/plain": "(<DataflowDefinition ESTAT:educ_enrl1at(1.0): Students by ISCED level, type of institution and study intensity>,\n <DataStructureDefinition ESTAT:DSD_educ_enrl1at(1.0)>)"
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"text/plain": "(<DataflowDefinition ESTAT:educ_enrl1ad(1.0): Students by ISCED level, study intensity and sex>,\n <DataStructureDefinition ESTAT:DSD_educ_enrl1ad(1.0): DSWS Data Structure Definition>)"
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},
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"execution_count": 33,
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"execution_count": 12,
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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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"# Prendiamo il primo e andiamo a scaricare i dati corrispondenti\n",
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"dataflow_label = student_dataflows.index[0]\n",
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"data_msg: pandasdmx.message.Message = eurostat.dataflow(dataflow_label)\n",
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"dataflow: pandasdmx.model.DataflowDefinition = data_msg.dataflow[dataflow_label]\n",
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"structure: pandasdmx.source.DataStructureDefinition = dataflow.structure\n",
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"dataflow, structure\n",
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"\n",
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"# Si possono usare i dati della struttura richiesti in precedenza?"
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"my_flow_label = student_flows.index[0]\n",
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"# Scarichiamo lo specifico dataflow che ci interessa\n",
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"my_flow_msg: pandasdmx.message.Message = eurostat.dataflow(my_flow_label)\n",
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"my_flow: pandasdmx.model.DataflowDefinition = my_flow_msg.dataflow[my_flow_label]\n",
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"# Scopriamo il label della struttura dati\n",
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"my_struct_label: pandasdmx.source.DataStructureDefinition = my_flow.structure.id\n",
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"# Scarichiamo la struttura del dataflow\n",
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"my_struct_msg: pandasdmx.message.Message = eurostat.datastructure(my_struct_label)\n",
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"my_struct: pandasdmx.source.DataStructureDefinition = my_struct_msg.structure[my_struct_label]\n",
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"my_flow, my_struct"
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],
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"metadata": {
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"collapsed": false,
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"execution_count": 14,
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"outputs": [
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{
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"data": {
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"text/plain": "([], [], [], [])"
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"text/plain": "([],\n <MeasureDescriptor: <PrimaryMeasure OBS_VALUE>>,\n <AttributeDescriptor: <DataAttribute OBS_FLAG>; <DataAttribute OBS_STATUS>>,\n <DimensionDescriptor: <Dimension FREQ>; <Dimension UNIT>; <Dimension ISCED97>; <Dimension SEX>; <Dimension WORKTIME>; <Dimension GEO>; <TimeDimension TIME_PERIOD>>)"
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},
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"execution_count": 36,
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"execution_count": 14,
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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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"# Analizziamo la struttura dei dati\n",
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"# È composta da:\n",
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"# - dimensioni\n",
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"# - attributi\n",
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"# Ispezioniamo la struttura, che contiene:\n",
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"# - annotazioni\n",
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"# - misure\n",
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"# Cosa cambia tra uno e l'altro?\n",
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"\n",
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"structure.dimensions.components, structure.attributes.components, structure.measures.components, structure.annotations"
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"# - attributi\n",
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"# - dimensioni\n",
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"my_struct.annotations, my_struct.measures, my_struct.attributes, my_struct.dimensions"
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],
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"metadata": {
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"collapsed": false,
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