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VESTUARIOS Y UNIFORMAS

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RECORD SUMMARY ocds-0ud2q6-916

Total amount

105,084.7

Number of contracts

1

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES belonging to ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

PLANNING

No data

CALL FOR TENDERS

Government agency

ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES

Call type

LICITACION PUBLICA NACIONAL (open)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 916

Title

VESTUARIOS Y UNIFORMAS

View contract

Supplier(s)

SEPIVER S.A. DE C.V. ,

GARCIA DUARTE JAIME ,

TRANSPORTES PEMALI S.A. DE C.V. ,

Diana Yazmin Campos Fragoso ,

ABASTECEDORA LUMEN S.A. DE C.V. ,

FCD LABS S.A. DE C.V. ,

COMERCIALIZADORA E IMPORTADORA DE PRODUCTOS QUIMICOS S A DE C V ,

REYES JERONIMO OBED MATEO ,

Bioskinco S.A. De C.V. ,

Decorex Cuauhtémoc S.A. de C.V. ,

SALVADOR ACHA JULIO

Amount

105,084.7 pesos mexicanos

Award status

active

Signature date

23 de agosto de 2007

Execution period

4 de septiembre de 2007 to 14 de octubre de 2007

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.mx

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

9 de mayo de 2021

Source(s)

Portal de Obligaciones de Transparencia (POT)

Part of the project

TodosLosContratos.mx

Organization responsible for the import

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                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-916")

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-916')   

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

Python (pandas, json)

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                        import pandas as pd 


                        #Read JSON data into pandas  

                        df = pd.read_json('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-916')