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aborruso/referendum.ipynb

Created March 24, 2026 22:56
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referendum.ipynb
{
"cells": [
{
"cell_type": "markdown",
"id": "hho31zxj6kn",
"metadata": {},
"source": [
"# Referendum Costituzionale 22 marzo 2026 — Analisi per comune"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "iz3oriiui3k",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-23T17:39:57.649441Z",
"iopub.status.busy": "2026-03-23T17:39:57.649278Z",
"iopub.status.idle": "2026-03-23T17:39:57.945050Z",
"shell.execute_reply": "2026-03-23T17:39:57.944199Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Salvato: IN/comuni_all_01.json (4,430,776 bytes)\n"
]
}
],
"source": [
"# Scarica JSON aggiornato e salva in IN/\n",
"import urllib.request, pathlib\n",
"\n",
"URL = \"https://2024-real-time-data.s3.eu-central-1.amazonaws.com/2026-referendum/comuni_all_01.json\"\n",
"DEST = pathlib.Path(\"IN/comuni_all_01.json\")\n",
"DEST.parent.mkdir(exist_ok=True)\n",
"\n",
"urllib.request.urlretrieve(URL, DEST)\n",
"print(f\"Salvato: {DEST} ({DEST.stat().st_size:,} bytes)\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "yy2rh4g3xng",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-23T17:39:57.946800Z",
"iopub.status.busy": "2026-03-23T17:39:57.946616Z",
"iopub.status.idle": "2026-03-23T17:39:58.456554Z",
"shell.execute_reply": "2026-03-23T17:39:58.456030Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Record caricati: 7,895\n"
]
}
],
"source": [
"# hho31zxj6kn — setup\n",
"import json\n",
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.ticker as mticker\n",
"\n",
"pd.set_option(\"display.float_format\", \"{:,.2f}\".format)\n",
"\n",
"DATA = \"IN/comuni_all_01.json\"\n",
"with open(DATA) as f:\n",
" raw = json.load(f)\n",
"print(f\"Record caricati: {len(raw):,}\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "0gwulb0w163",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-23T17:39:58.458035Z",
"iopub.status.busy": "2026-03-23T17:39:58.457827Z",
"iopub.status.idle": "2026-03-23T17:39:58.517169Z",
"shell.execute_reply": "2026-03-23T17:39:58.516694Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(7895, 22)\n"
]
},
{
"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>cod_com</th>\n",
" <th>comune</th>\n",
" <th>cod_prov</th>\n",
" <th>provincia</th>\n",
" <th>cod_reg</th>\n",
" <th>regione</th>\n",
" <th>ele_t</th>\n",
" <th>sz_tot</th>\n",
" <th>sz_perv</th>\n",
" <th>vot_t</th>\n",
" <th>...</th>\n",
" <th>sk_bianche</th>\n",
" <th>sk_nulle</th>\n",
" <th>voti_si</th>\n",
" <th>voti_no</th>\n",
" <th>dt_agg</th>\n",
" <th>scrutinio_completo</th>\n",
" <th>perc_vot</th>\n",
" <th>perc_si</th>\n",
" <th>perc_no</th>\n",
" <th>istat_com</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>440</td>\n",
" <td>SANT'AGATA LI BATTIATI</td>\n",
" <td>21</td>\n",
" <td>CATANIA</td>\n",
" <td>19</td>\n",
" <td>SICILIA</td>\n",
" <td>7801</td>\n",
" <td>10</td>\n",
" <td>10</td>\n",
" <td>4852</td>\n",
" <td>...</td>\n",
" <td>1</td>\n",
" <td>14</td>\n",
" <td>1989</td>\n",
" <td>2848</td>\n",
" <td>20260323172238</td>\n",
" <td>True</td>\n",
" <td>62.20</td>\n",
" <td>41.12</td>\n",
" <td>58.88</td>\n",
" <td>000440</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>470</td>\n",
" <td>CASTELDELFINO</td>\n",
" <td>27</td>\n",
" <td>CUNEO</td>\n",
" <td>1</td>\n",
" <td>PIEMONTE</td>\n",
" <td>127</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>66</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>16</td>\n",
" <td>20260323155558</td>\n",
" <td>True</td>\n",
" <td>51.97</td>\n",
" <td>75.76</td>\n",
" <td>24.24</td>\n",
" <td>000470</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>580</td>\n",
" <td>RIVODUTRI</td>\n",
" <td>69</td>\n",
" <td>RIETI</td>\n",
" <td>12</td>\n",
" <td>LAZIO</td>\n",
" <td>914</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>591</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>5</td>\n",
" <td>311</td>\n",
" <td>271</td>\n",
" <td>20260323154614</td>\n",
" <td>True</td>\n",
" <td>64.66</td>\n",
" <td>53.44</td>\n",
" <td>46.56</td>\n",
" <td>000580</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>3 rows × 22 columns</p>\n",
"</div>"
],
"text/plain": [
" cod_com comune cod_prov provincia cod_reg regione \\\n",
"0 440 SANT'AGATA LI BATTIATI 21 CATANIA 19 SICILIA \n",
"1 470 CASTELDELFINO 27 CUNEO 1 PIEMONTE \n",
"2 580 RIVODUTRI 69 RIETI 12 LAZIO \n",
"\n",
" ele_t sz_tot sz_perv vot_t ... sk_bianche sk_nulle voti_si voti_no \\\n",
"0 7801 10 10 4852 ... 1 14 1989 2848 \n",
"1 127 1 1 66 ... 0 0 50 16 \n",
"2 914 3 3 591 ... 4 5 311 271 \n",
"\n",
" dt_agg scrutinio_completo perc_vot perc_si perc_no istat_com \n",
"0 20260323172238 True 62.20 41.12 58.88 000440 \n",
"1 20260323155558 True 51.97 75.76 24.24 000470 \n",
"2 20260323154614 True 64.66 53.44 46.56 000580 \n",
"\n",
"[3 rows x 22 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Flatten JSON → DataFrame\n",
"rows = []\n",
"for r in raw:\n",
" i = r[\"int\"]\n",
" s = r[\"scheda\"][0]\n",
" rows.append({\n",
" \"cod_com\": i[\"cod_com\"],\n",
" \"comune\": i[\"desc_com\"],\n",
" \"cod_prov\": i[\"cod_prov\"],\n",
" \"provincia\": i[\"desc_prov\"],\n",
" \"cod_reg\": i[\"cod_reg\"],\n",
" \"regione\": i[\"desc_reg\"],\n",
" \"ele_t\": i[\"ele_t\"],\n",
" \"sz_tot\": i[\"sz_tot\"],\n",
" \"sz_perv\": s[\"sz_perv\"],\n",
" \"vot_t\": s[\"vot_t\"],\n",
" \"vot_m\": s.get(\"vot_m\"),\n",
" \"vot_f\": s.get(\"vot_f\"),\n",
" \"sk_bianche\": s[\"sk_bianche\"],\n",
" \"sk_nulle\": s[\"sk_nulle\"],\n",
" \"voti_si\": s[\"voti_si\"],\n",
" \"voti_no\": s[\"voti_no\"],\n",
" \"dt_agg\": str(s[\"dt_agg\"]),\n",
" })\n",
"\n",
"df = pd.DataFrame(rows)\n",
"\n",
"# Campi derivati (divisione sicura)\n",
"validi = df[\"voti_si\"] + df[\"voti_no\"]\n",
"df[\"scrutinio_completo\"] = df[\"sz_perv\"] == df[\"sz_tot\"]\n",
"df[\"perc_vot\"] = np.where(df[\"ele_t\"] > 0, df[\"vot_t\"] / df[\"ele_t\"] * 100, np.nan)\n",
"df[\"perc_si\"] = np.where(validi > 0, df[\"voti_si\"] / validi * 100, np.nan)\n",
"df[\"perc_no\"] = np.where(validi > 0, df[\"voti_no\"] / validi * 100, np.nan)\n",
"\n",
"# Codice ISTAT comune a 6 cifre (per join Bankit)\n",
"df[\"istat_com\"] = df[\"cod_com\"].apply(lambda x: f\"{int(x):06d}\")\n",
"\n",
"print(df.shape)\n",
"df.head(3)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "mikt8c0p32a",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-23T17:39:58.518374Z",
"iopub.status.busy": "2026-03-23T17:39:58.518249Z",
"iopub.status.idle": "2026-03-23T17:39:58.522297Z",
"shell.execute_reply": "2026-03-23T17:39:58.521891Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"=== REFERENDUM COSTITUZIONALE 22/03/2026 ===\n",
"Comuni scrutinati : 7,895 (sezioni complete: 7,845)\n",
"Elettori : 45,944,053\n",
"Votanti : 23,915,502 (52.05%)\n",
" Voti SI : 12,425,347 (46.26%)\n",
" Voti NO : 14,435,125 (53.74%)\n",
" Schede bianche : 55,337\n",
" Schede nulle : 97,370\n"
]
}
],
"source": [
"# ── RISULTATO NAZIONALE ──────────────────────────────────────────────────────\n",
"tot_ele = df[\"ele_t\"].sum()\n",
"tot_vot = df[\"vot_t\"].sum()\n",
"tot_si = df[\"voti_si\"].sum()\n",
"tot_no = df[\"voti_no\"].sum()\n",
"tot_bian = df[\"sk_bianche\"].sum()\n",
"tot_null = df[\"sk_nulle\"].sum()\n",
"\n",
"print(\"=== REFERENDUM COSTITUZIONALE 22/03/2026 ===\")\n",
"print(f\"Comuni scrutinati : {len(df):,} (sezioni complete: {df['scrutinio_completo'].sum():,})\")\n",
"print(f\"Elettori : {tot_ele:>14,.0f}\")\n",
"print(f\"Votanti : {tot_vot:>14,.0f} ({tot_vot/tot_ele*100:.2f}%)\")\n",
"print(f\" Voti SI : {tot_si:>14,.0f} ({tot_si/(tot_si+tot_no)*100:.2f}%)\")\n",
"print(f\" Voti NO : {tot_no:>14,.0f} ({tot_no/(tot_si+tot_no)*100:.2f}%)\")\n",
"print(f\" Schede bianche : {tot_bian:>14,.0f}\")\n",
"print(f\" Schede nulle : {tot_null:>14,.0f}\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "aqg6lxmd7mr",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-23T17:39:58.523481Z",
"iopub.status.busy": "2026-03-23T17:39:58.523356Z",
"iopub.status.idle": "2026-03-23T17:39:58.539713Z",
"shell.execute_reply": "2026-03-23T17:39:58.539258Z"
}
},
"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>n_comuni</th>\n",
" <th>ele_t</th>\n",
" <th>vot_t</th>\n",
" <th>affluenza</th>\n",
" <th>perc_si</th>\n",
" <th>perc_no</th>\n",
" </tr>\n",
" <tr>\n",
" <th>regione</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>VENETO</th>\n",
" <td>560</td>\n",
" <td>3750551</td>\n",
" <td>2294215</td>\n",
" <td>61.17</td>\n",
" <td>58.42</td>\n",
" <td>41.58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>FRIULI-VENEZIA GIULIA</th>\n",
" <td>215</td>\n",
" <td>931461</td>\n",
" <td>574170</td>\n",
" <td>61.64</td>\n",
" <td>54.47</td>\n",
" <td>45.53</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LOMBARDIA</th>\n",
" <td>1501</td>\n",
" <td>7573434</td>\n",
" <td>4090637</td>\n",
" <td>54.01</td>\n",
" <td>53.58</td>\n",
" <td>46.42</td>\n",
" </tr>\n",
" <tr>\n",
" <th>TRENTINO-ALTO ADIGE</th>\n",
" <td>282</td>\n",
" <td>819907</td>\n",
" <td>425474</td>\n",
" <td>51.89</td>\n",
" <td>49.41</td>\n",
" <td>50.59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>UMBRIA</th>\n",
" <td>92</td>\n",
" <td>658041</td>\n",
" <td>428074</td>\n",
" <td>65.05</td>\n",
" <td>48.32</td>\n",
" <td>51.68</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ABRUZZO</th>\n",
" <td>305</td>\n",
" <td>1015499</td>\n",
" <td>576857</td>\n",
" <td>56.81</td>\n",
" <td>48.22</td>\n",
" <td>51.78</td>\n",
" </tr>\n",
" <tr>\n",
" <th>VALLE D'AOSTA</th>\n",
" <td>74</td>\n",
" <td>97949</td>\n",
" <td>57391</td>\n",
" <td>58.59</td>\n",
" <td>48.19</td>\n",
" <td>51.81</td>\n",
" </tr>\n",
" <tr>\n",
" <th>PIEMONTE</th>\n",
" <td>1180</td>\n",
" <td>3303313</td>\n",
" <td>1649667</td>\n",
" <td>49.94</td>\n",
" <td>46.50</td>\n",
" <td>53.50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MARCHE</th>\n",
" <td>225</td>\n",
" <td>1157824</td>\n",
" <td>738337</td>\n",
" <td>63.77</td>\n",
" <td>46.26</td>\n",
" <td>53.74</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LAZIO</th>\n",
" <td>378</td>\n",
" <td>4350049</td>\n",
" <td>1275814</td>\n",
" <td>29.33</td>\n",
" <td>45.42</td>\n",
" <td>54.58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MOLISE</th>\n",
" <td>136</td>\n",
" <td>237227</td>\n",
" <td>128185</td>\n",
" <td>54.03</td>\n",
" <td>45.30</td>\n",
" <td>54.70</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LIGURIA</th>\n",
" <td>234</td>\n",
" <td>1180907</td>\n",
" <td>733630</td>\n",
" <td>62.12</td>\n",
" <td>42.96</td>\n",
" <td>57.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>PUGLIA</th>\n",
" <td>257</td>\n",
" <td>3171631</td>\n",
" <td>1650119</td>\n",
" <td>52.03</td>\n",
" <td>42.86</td>\n",
" <td>57.14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>EMILIA-ROMAGNA</th>\n",
" <td>330</td>\n",
" <td>3365900</td>\n",
" <td>2036374</td>\n",
" <td>60.50</td>\n",
" <td>42.76</td>\n",
" <td>57.24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>CALABRIA</th>\n",
" <td>404</td>\n",
" <td>1467969</td>\n",
" <td>700522</td>\n",
" <td>47.72</td>\n",
" <td>42.76</td>\n",
" <td>57.24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>TOSCANA</th>\n",
" <td>273</td>\n",
" <td>2797496</td>\n",
" <td>1806446</td>\n",
" <td>64.57</td>\n",
" <td>41.86</td>\n",
" <td>58.14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SARDEGNA</th>\n",
" <td>377</td>\n",
" <td>1320821</td>\n",
" <td>636224</td>\n",
" <td>48.17</td>\n",
" <td>40.54</td>\n",
" <td>59.46</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BASILICATA</th>\n",
" <td>131</td>\n",
" <td>432962</td>\n",
" <td>230593</td>\n",
" <td>53.26</td>\n",
" <td>39.97</td>\n",
" <td>60.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SICILIA</th>\n",
" <td>391</td>\n",
" <td>3860565</td>\n",
" <td>1769667</td>\n",
" <td>45.84</td>\n",
" <td>39.02</td>\n",
" <td>60.98</td>\n",
" </tr>\n",
" <tr>\n",
" <th>CAMPANIA</th>\n",
" <td>550</td>\n",
" <td>4450547</td>\n",
" <td>2113106</td>\n",
" <td>47.48</td>\n",
" <td>34.77</td>\n",
" <td>65.23</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" n_comuni ele_t vot_t affluenza perc_si perc_no\n",
"regione \n",
"VENETO 560 3750551 2294215 61.17 58.42 41.58\n",
"FRIULI-VENEZIA GIULIA 215 931461 574170 61.64 54.47 45.53\n",
"LOMBARDIA 1501 7573434 4090637 54.01 53.58 46.42\n",
"TRENTINO-ALTO ADIGE 282 819907 425474 51.89 49.41 50.59\n",
"UMBRIA 92 658041 428074 65.05 48.32 51.68\n",
"ABRUZZO 305 1015499 576857 56.81 48.22 51.78\n",
"VALLE D'AOSTA 74 97949 57391 58.59 48.19 51.81\n",
"PIEMONTE 1180 3303313 1649667 49.94 46.50 53.50\n",
"MARCHE 225 1157824 738337 63.77 46.26 53.74\n",
"LAZIO 378 4350049 1275814 29.33 45.42 54.58\n",
"MOLISE 136 237227 128185 54.03 45.30 54.70\n",
"LIGURIA 234 1180907 733630 62.12 42.96 57.04\n",
"PUGLIA 257 3171631 1650119 52.03 42.86 57.14\n",
"EMILIA-ROMAGNA 330 3365900 2036374 60.50 42.76 57.24\n",
"CALABRIA 404 1467969 700522 47.72 42.76 57.24\n",
"TOSCANA 273 2797496 1806446 64.57 41.86 58.14\n",
"SARDEGNA 377 1320821 636224 48.17 40.54 59.46\n",
"BASILICATA 131 432962 230593 53.26 39.97 60.03\n",
"SICILIA 391 3860565 1769667 45.84 39.02 60.98\n",
"CAMPANIA 550 4450547 2113106 47.48 34.77 65.23"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# ── PER REGIONE ───────────────────────────────────────────────────────────────\n",
"reg = (\n",
" df.groupby(\"regione\")\n",
" .agg(\n",
" ele_t = (\"ele_t\", \"sum\"),\n",
" vot_t = (\"vot_t\", \"sum\"),\n",
" voti_si = (\"voti_si\",\"sum\"),\n",
" voti_no = (\"voti_no\",\"sum\"),\n",
" n_comuni = (\"comune\", \"count\"),\n",
" )\n",
" .assign(\n",
" affluenza = lambda x: x[\"vot_t\"] / x[\"ele_t\"] * 100,\n",
" perc_si = lambda x: x[\"voti_si\"] / (x[\"voti_si\"] + x[\"voti_no\"]) * 100,\n",
" perc_no = lambda x: x[\"voti_no\"] / (x[\"voti_si\"] + x[\"voti_no\"]) * 100,\n",
" )\n",
" .sort_values(\"perc_si\", ascending=False)\n",
")\n",
"reg[[\"n_comuni\",\"ele_t\",\"vot_t\",\"affluenza\",\"perc_si\",\"perc_no\"]]"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "1sry7opzywb",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-23T17:39:58.540967Z",
"iopub.status.busy": "2026-03-23T17:39:58.540841Z",
"iopub.status.idle": "2026-03-23T17:39:59.130111Z",
"shell.execute_reply": "2026-03-23T17:39:59.129689Z"
}
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1400x600 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# ── GRAFICI ───────────────────────────────────────────────────────────────────\n",
"fig, axes = plt.subplots(1, 2, figsize=(14, 6))\n",
"fig.suptitle(\"Referendum Costituzionale 22/03/2026\", fontsize=13, fontweight=\"bold\")\n",
"\n",
"# — Grafico 1: % SI per regione —\n",
"ax = axes[0]\n",
"colors = [\"#e74c3c\" if v < 50 else \"#27ae60\" for v in reg[\"perc_si\"]]\n",
"bars = ax.barh(reg.index, reg[\"perc_si\"], color=colors, edgecolor=\"white\", linewidth=0.5)\n",
"ax.axvline(50, color=\"black\", lw=1, ls=\"--\", alpha=0.5)\n",
"ax.set_xlabel(\"% SI (su voti validi)\")\n",
"ax.set_title(\"% SI per regione\")\n",
"ax.set_xlim(0, 70)\n",
"for bar, val in zip(bars, reg[\"perc_si\"]):\n",
" ax.text(bar.get_width() + 0.5, bar.get_y() + bar.get_height() / 2,\n",
" f\"{val:.1f}%\", va=\"center\", fontsize=8)\n",
"\n",
"# — Grafico 2: Affluenza per regione —\n",
"ax2 = axes[1]\n",
"reg_aff = reg.sort_values(\"affluenza\", ascending=False)\n",
"ax2.barh(reg_aff.index, reg_aff[\"affluenza\"], color=\"#3498db\", edgecolor=\"white\", linewidth=0.5)\n",
"ax2.set_xlabel(\"Affluenza (%)\")\n",
"ax2.set_title(\"Affluenza per regione\")\n",
"for bar, val in zip(ax2.patches, reg_aff[\"affluenza\"]):\n",
" ax2.text(bar.get_width() + 0.2, bar.get_y() + bar.get_height() / 2,\n",
" f\"{val:.1f}%\", va=\"center\", fontsize=8)\n",
"\n",
"plt.tight_layout()\n",
"plt.savefig(\"OUT/referendum_regioni.png\", dpi=150, bbox_inches=\"tight\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "j1vzjqlo5sn",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-23T17:39:59.131869Z",
"iopub.status.busy": "2026-03-23T17:39:59.131743Z",
"iopub.status.idle": "2026-03-23T17:39:59.394184Z",
"shell.execute_reply": "2026-03-23T17:39:59.393621Z"
}
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# ── DISTRIBUZIONE % SI per comune (istogramma) ────────────────────────────────\n",
"si_vals = df[\"perc_si\"].replace([np.inf, -np.inf], np.nan).dropna()\n",
"media_si = si_vals.mean()\n",
"\n",
"fig, ax = plt.subplots(figsize=(10, 4))\n",
"ax.hist(si_vals, bins=60, color=\"#e74c3c\", edgecolor=\"white\", linewidth=0.3, alpha=0.85)\n",
"ax.axvline(50, color=\"black\", lw=1.2, ls=\"--\", label=\"50%\")\n",
"ax.axvline(media_si, color=\"#c0392b\", lw=1.2, ls=\":\", label=f\"Media: {media_si:.1f}%\")\n",
"ax.set_xlabel(\"% SI (su voti validi) per comune\")\n",
"ax.set_ylabel(\"Numero comuni\")\n",
"ax.set_title(\"Distribuzione del voto SI nei comuni italiani\")\n",
"ax.legend()\n",
"plt.tight_layout()\n",
"plt.savefig(\"OUT/referendum_dist_si.png\", dpi=150, bbox_inches=\"tight\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "b2r7s6h4gyq",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-23T17:39:59.395564Z",
"iopub.status.busy": "2026-03-23T17:39:59.395426Z",
"iopub.status.idle": "2026-03-23T17:39:59.406216Z",
"shell.execute_reply": "2026-03-23T17:39:59.405737Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"── Top 10 comuni % SI ──\n",
" comune regione ele_t vot_t perc_vot perc_si perc_no\n",
" PLATI' CALABRIA 2611 1215 46.53 89.63 10.37\n",
" SINOPOLI CALABRIA 1401 792 56.53 85.61 14.39\n",
" COLLIO LOMBARDIA 1626 961 59.10 85.04 14.96\n",
" SAN LUCA CALABRIA 2478 924 37.29 82.39 17.61\n",
" APRICA LOMBARDIA 1171 763 65.16 81.32 18.68\n",
" SALIZZOLE VENETO 2854 1710 59.92 80.81 19.19\n",
" PREMANA LOMBARDIA 1805 1103 61.11 79.54 20.46\n",
" AFRICO CALABRIA 2005 866 43.19 78.70 21.30\n",
" CASTO LOMBARDIA 1246 793 63.64 78.63 21.37\n",
"SAN GIOVANNI ILARIONE VENETO 3806 2460 64.63 78.29 21.71\n",
"\n",
"── Top 10 comuni % NO ──\n",
" comune regione ele_t vot_t perc_vot perc_si perc_no\n",
" ULASSAI SARDEGNA 1163 678 58.30 19.76 80.24\n",
" FALCONARA ALBANESE CALABRIA 1294 0 0.00 20.61 79.39\n",
" ORANI SARDEGNA 2222 1168 52.57 21.65 78.35\n",
" PORTICI CAMPANIA 43002 25821 60.05 22.01 77.99\n",
" ORGOSOLO SARDEGNA 3235 1585 49.00 22.29 77.71\n",
" ARENA CALABRIA 1018 460 45.19 22.42 77.58\n",
" ARZANO CAMPANIA 25682 12351 48.09 22.50 77.50\n",
" CASALNUOVO DI NAPOLI CAMPANIA 38065 20045 52.66 22.88 77.12\n",
" CASALI DEL MANCO CALABRIA 7720 4437 57.47 23.01 76.99\n",
"SAN GIORGIO A CREMANO CAMPANIA 35158 20948 59.58 23.23 76.77\n"
]
}
],
"source": [
"# ── TOP comuni per % SI e % NO (con almeno 1000 elettori) ─────────────────────\n",
"grandi = df[df[\"ele_t\"] >= 1000].copy()\n",
"\n",
"print(\"── Top 10 comuni % SI ──\")\n",
"print(grandi.nlargest(10, \"perc_si\")[[\"comune\",\"regione\",\"ele_t\",\"vot_t\",\"perc_vot\",\"perc_si\",\"perc_no\"]].to_string(index=False))\n",
"\n",
"print(\"\\n── Top 10 comuni % NO ──\")\n",
"print(grandi.nlargest(10, \"perc_no\")[[\"comune\",\"regione\",\"ele_t\",\"vot_t\",\"perc_vot\",\"perc_si\",\"perc_no\"]].to_string(index=False))"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "nnb683yn63c",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-23T17:39:59.407390Z",
"iopub.status.busy": "2026-03-23T17:39:59.407268Z",
"iopub.status.idle": "2026-03-23T17:39:59.415252Z",
"shell.execute_reply": "2026-03-23T17:39:59.414831Z"
}
},
"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>comune</th>\n",
" <th>regione</th>\n",
" <th>ele_t</th>\n",
" <th>vot_t</th>\n",
" <th>perc_vot</th>\n",
" <th>perc_si</th>\n",
" <th>perc_no</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>4645</th>\n",
" <td>ROMA</td>\n",
" <td>LAZIO</td>\n",
" <td>2057426</td>\n",
" <td>0</td>\n",
" <td>0.00</td>\n",
" <td>inf</td>\n",
" <td>inf</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6448</th>\n",
" <td>MILANO</td>\n",
" <td>LOMBARDIA</td>\n",
" <td>951417</td>\n",
" <td>0</td>\n",
" <td>0.00</td>\n",
" <td>inf</td>\n",
" <td>inf</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3940</th>\n",
" <td>NAPOLI</td>\n",
" <td>CAMPANIA</td>\n",
" <td>711257</td>\n",
" <td>0</td>\n",
" <td>0.00</td>\n",
" <td>inf</td>\n",
" <td>inf</td>\n",
" </tr>\n",
" <tr>\n",
" <th>124</th>\n",
" <td>TORINO</td>\n",
" <td>PIEMONTE</td>\n",
" <td>631560</td>\n",
" <td>0</td>\n",
" <td>0.00</td>\n",
" <td>inf</td>\n",
" <td>inf</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1312</th>\n",
" <td>PALERMO</td>\n",
" <td>SICILIA</td>\n",
" <td>504571</td>\n",
" <td>243130</td>\n",
" <td>48.19</td>\n",
" <td>30.90</td>\n",
" <td>68.60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3615</th>\n",
" <td>LAMEZIA TERME</td>\n",
" <td>CALABRIA</td>\n",
" <td>51872</td>\n",
" <td>25042</td>\n",
" <td>48.28</td>\n",
" <td>44.80</td>\n",
" <td>54.49</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1100</th>\n",
" <td>COSENZA</td>\n",
" <td>CALABRIA</td>\n",
" <td>51266</td>\n",
" <td>27759</td>\n",
" <td>54.15</td>\n",
" <td>33.29</td>\n",
" <td>66.22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5715</th>\n",
" <td>VITERBO</td>\n",
" <td>LAZIO</td>\n",
" <td>51217</td>\n",
" <td>32649</td>\n",
" <td>63.75</td>\n",
" <td>56.80</td>\n",
" <td>42.72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3755</th>\n",
" <td>CINISELLO BALSAMO</td>\n",
" <td>LOMBARDIA</td>\n",
" <td>50765</td>\n",
" <td>30000</td>\n",
" <td>59.10</td>\n",
" <td>43.60</td>\n",
" <td>55.89</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6502</th>\n",
" <td>CASTELLAMMARE DI STABIA</td>\n",
" <td>CAMPANIA</td>\n",
" <td>50573</td>\n",
" <td>25509</td>\n",
" <td>50.44</td>\n",
" <td>29.68</td>\n",
" <td>69.72</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>91 rows × 7 columns</p>\n",
"</div>"
],
"text/plain": [
" comune regione ele_t vot_t perc_vot perc_si \\\n",
"4645 ROMA LAZIO 2057426 0 0.00 inf \n",
"6448 MILANO LOMBARDIA 951417 0 0.00 inf \n",
"3940 NAPOLI CAMPANIA 711257 0 0.00 inf \n",
"124 TORINO PIEMONTE 631560 0 0.00 inf \n",
"1312 PALERMO SICILIA 504571 243130 48.19 30.90 \n",
"... ... ... ... ... ... ... \n",
"3615 LAMEZIA TERME CALABRIA 51872 25042 48.28 44.80 \n",
"1100 COSENZA CALABRIA 51266 27759 54.15 33.29 \n",
"5715 VITERBO LAZIO 51217 32649 63.75 56.80 \n",
"3755 CINISELLO BALSAMO LOMBARDIA 50765 30000 59.10 43.60 \n",
"6502 CASTELLAMMARE DI STABIA CAMPANIA 50573 25509 50.44 29.68 \n",
"\n",
" perc_no \n",
"4645 inf \n",
"6448 inf \n",
"3940 inf \n",
"124 inf \n",
"1312 68.60 \n",
"... ... \n",
"3615 54.49 \n",
"1100 66.22 \n",
"5715 42.72 \n",
"3755 55.89 \n",
"6502 69.72 \n",
"\n",
"[91 rows x 7 columns]"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# ── GRANDI CITTÀ (ele_t >= 50.000) ────────────────────────────────────────────\n",
"citta = df[df[\"ele_t\"] >= 50_000].sort_values(\"ele_t\", ascending=False)\n",
"citta[[\"comune\",\"regione\",\"ele_t\",\"vot_t\",\"perc_vot\",\"perc_si\",\"perc_no\"]]"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "studibase",
"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": "3.11.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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