Conflent




Para outros usos deste término, veja Condado de Conflent






















































































































































































































































































































































































































































































































































































































































































































































Conflent


Mapa municipal del Conflent.svg

País
França
Capital
Prades
Departamento
Pirenéus Orientais
Entidade
Comarca

População
 - Urbana
 17 886



Campanário da igreja de São Pedro (Prades).


O Conflent é uma comarca situada no sul da França, no departamento dos Pirenéus Orientais, na região de Languedoque-Rossilhão. Até a assinatura do Tratado dos Pirenéus em 1659 pertencia à Coroa de Aragão como parte do Rossilhão. Sua capital é a cidade de Prades.[1][2]



Municípios da comarca |








  • Ayguatébia-Talau

  • Arboussols

  • Baillestavy

  • Campôme

  • Canaveilles

  • Casteil

  • Catllar

  • Caudiès-de-Conflent

  • Clara

  • Codalet

  • Conat

  • Escaro

  • Espira-de-Conflent

  • Estoher

  • Eus

  • Fillols

  • Finestret

  • Fontpédrouse

  • Fuilla

  • Glorianes

  • Joch

  • Jujols

  • La Bastide

  • Los Masos

  • Mantet

  • Marquixanes

  • Molitg-les-Bains

  • Mont-Louis

  • Mosset

  • Nohèdes

  • Nyer

  • Olette

  • Oreilla

  • Planès

  • Py

  • Prades

  • Railleu

  • Ria-Sirach

  • Rigarda

  • Rodès

  • Sahorre

  • Sansa

  • Sauto

  • Serdinya

  • Souanyas

  • Tarerach

  • Taurinya

  • Thuès-Entre-Valls

  • Urbanya

  • Valmanya

  • Vernet-les-Bains

  • Villefranche-de-Conflent

  • Vinça

Coordenadas: 42° 36' N 2° 23' E



Referências




  1. ↑ Conflent in Catalan Encyclopaedia.


  2. ↑ Sito IGN per ricerche (inserire un nome di comune)








-

Popular posts from this blog

404 Error Contact Form 7 ajax form submitting

Image
0 The contact form does not work, and affects loading after one try. The chrome console shows the error message: POST http://example.com/wp-json/contact-form-7/v1/contact-forms/50/feedback 404 (Not Found) send @ jquery.js?ver=1.12.4:4 ajax @ jquery.js?ver=1.12.4:4 wpcf7.submit @ scripts.js?ver=5.0.3:346 (anonymous) @ scripts.js?ver=5.0.3:53 dispatch @ jquery.js?ver=1.12.4:3 r.handle @ jquery.js?ver=1.12.4:3 How to solve this issue? thanks in advance javascript wordpress contact-form-7 share | improve this question edited Jul 17 '18 at 5:39 Kiran Shahi 4,745 3 16 43
Read more

How to know if a Active Directory user can login interactively

Image
1 I would like to know if and how is it possible to know if a AD user can login interactively (on a server) in a domain. I need to know if I can find it out using a LDAP search. Thanks. windows active-directory login user-permissions user-profile share | improve this question edited 1 hour ago yagmoth555 ♦ 11.6k 3 17 42 asked 1 hour ago Luigi Luigi 6 1 New contributor
Read more

TypeError: fit_transform() missing 1 required positional argument: 'X'

Image
0 I am trying to do Feature Scaling in a dataset, but I get an error and have no idea how to proceed: > Traceback (most recent call last): > > File "<ipython-input-10-71bea414b4d0>", line 22, in <module> > x_train = sc_X.fit_transform(x_train) > > TypeError: fit_transform() missing 1 required positional argument: 'X' and here is my code: import pandas as pd # Importing the dataset dataset = pd.read_csv('Data.csv') X = dataset.iloc[:, :-1].values y = dataset.iloc[:, 3].values # Taking care of missing data from sklearn.preprocessing import Imputer imputer = Imputer(missing_values="NaN", strategy="mean", axis=0) imputer = Imputer.fit(imputer,X[:,1:3]) X[:, 1:3] = Imputer.transform(imputer,X[
Read more