<jupyter_start><jupyter_text>[Licencia ign](http://www.ign.es/resources/licencia/Condiciones_licenciaUso_IGN.pdf)<jupyter_code>map_data = gpd.read_file('./shp/recintos_provinciales_inspire_peninbal_etrs89.shp')
print(map_data.NAMEUNIT.to_list())
prov = 'Tarragona'
prov1 = 'Tarragona'
gdf_p = gdf[gdf.provincia==prov]
# Control del tamaño de la figura del mapa
fig, ax = plt.subplots(figsize=(14, 14))
ax.set_title('Monumentos en la provincia de ' + prov, 
             pad = 20, 
             fontdict={'fontsize':20, 'color': '#4873ab'})
ax.set_xlabel('Longitud')
ax.set_ylabel('Latitud')
map_data[map_data.NAMEUNIT==prov1].plot(color='white', edgecolor='black', ax=ax)
gdf_p.plot(column='legend', categorical=True, ax=ax, legend=True, legend_kwds=dict(loc='upper left', bbox_to_anchor=(1, 1)))

for x, y, label in zip(gdf_p.geometry.x, gdf_p.geometry.y, gdf_p.id):
    ax.annotate(label, xy=(x, y), xytext=(3, 3), textcoords="offset points")
plt.show()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.16852791878172588, 'fraction_numerical': 0.02030456852791878, 'mean_word_length': 6.358208955223881, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 1, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '641324', 'license': 'CC0-1.0', 'n_tokens_mistral': 418, 'n_tokens_neox': 400, 'n_words': 62, 'path': 'Mapa_monumentos.ipynb', 'repo_name': 'BaltiBoix/ciclovida_PAC1', 'size': '985'}