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constructora-y-edificadora-tepehuan-sa-de-cv

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Contratos y compras

List of 1 contract for a total of $4 millones (3,986,289.25 ) in 1 geographic areas.

Results by year:

2018

LICITACION PÚBLICA REPAVIMENTACIÓN ASFÁLTICA DE BOULEVARD VICENTE GUERRERO, ENTRE CALLE MANUEL DOBLADO Y CAMINO 1111, NEXTLALPAN-ZUMPANGO, EN LA COLONIA SAN ANDRÉS

México Presidencia Municipal de Jaltenco

México CONSTRUCTORA Y EDIFICADORA TEPEHUAN SA DE CV

4 millones de pesos mexicanos (3,986,289.252 MXN)

30/10/2018 to 30/11/2018

Licitación Pública

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Sources of the results:

CompraNet (Plus) : 1

At QuiénEsQuién.Wiki we use data provided by government and stock market entities, or data that has been thoroughly investigated by Civil Society Organizations. You can find more information about our sources here.

Note: CSV download is temporarily disabled due to the server migration. Please use the JSON format to import the data.

Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.

Add this to your code:



                        library(rjson) 

                        #Read JSON data into R Contratos - Proveedor: constructora-y-edificadora-tepehuan-sa-de-cv - QuiénEsQuién.Wiki 

                        data <- fromJSON(file="http://localhost:10010/v3/contracts?collection=contracts&supplier_name=constructora-y-edificadora-tepehuan-sa-de-cv&sort=contracts.value.amount&sort_direction=desc&db_prefix=")

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python Contratos - Proveedor: constructora-y-edificadora-tepehuan-sa-de-cv - QuiénEsQuién.Wiki 

                        response = urllib2.urlopen('http://localhost:10010/v3/contracts?collection=contracts&supplier_name=constructora-y-edificadora-tepehuan-sa-de-cv&sort=contracts.value.amount&sort_direction=desc&db_prefix=')   

                        data = json.loads(response.read())

Python (pandas, json)

Add this to your code:


                        import pandas as pd 


                        #Read JSON data into pandas Contratos - Proveedor: constructora-y-edificadora-tepehuan-sa-de-cv - QuiénEsQuién.Wiki 

                        df = pd.read_json('http://localhost:10010/v3/contracts?collection=contracts&supplier_name=constructora-y-edificadora-tepehuan-sa-de-cv&sort=contracts.value.amount&sort_direction=desc&db_prefix=')