Skip to main content

Client for Banxico API

Project description

Overview

BanxicoApi is a Python package designed to interact with the Banxico (Banco de México) API. It allows users to fetch economic and financial series data, including metadata, and provides methods to handle data ranges and specific series codes.

Usage

Initialization

You need to initialize the BanxicoApi class with your API token:

from banxicoapi.banxico_api import BanxicoApi

api_token = 'YOUR_API_TOKEN'
banxico_api = BanxicoApi(api_token)

Fetching Series Data

You can fetch series data using the get method. This method allows for various parameters to customize the data retrieval.

Basic Usage

Fetch data for a list of series:

series = ['SF43718', 'SF46410']
data = banxico_api.get(series)
print(data)

Fetching Data with Metadata

To include metadata in the response:

data_with_metadata = banxico_api.get(series, metadata=True)
print(data_with_metadata)

Fetching Opportuno Data

To fetch the most recent data available:

opportuno_data = banxico_api.get(series, oportuno=True)
print(opportuno_data)

Fetching Data for a Specific Date Range

You can specify a date range to fetch data:

start_date = '2022-01-01'
end_date = '2022-12-31'
data_in_range = banxico_api.get(series, start_date=start_date, end_date=end_date)
print(data_in_range)

To include metadata with date range data:

data_in_range_with_metadata = banxico_api.get(series, start_date=start_date, end_date=end_date, metadata=True)
print(data_in_range_with_metadata)

Fetching Metadata Only

If you only need the metadata for a list of series:

metadata = banxico_api.getMetadata(series)
print(metadata)

Fetching Data by Code instead of series ID

If you have predefined codes mapped to series, you can fetch data by code:

code = 'CF120'
data_by_code = banxico_api.getByCode(code)
print(data_by_code)

Methods Summary

get(series: List[str], start_date: str = None, end_date: str = None, oportuno: bool = False, metadata: bool = False) Fetches data for the specified series, optionally within a date range, and with metadata.

getMetadata(series: List[str]) Fetches metadata for the specified series.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

banxicoapi-1.0.2.tar.gz (4.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

banxicoapi-1.0.2-py3-none-any.whl (5.7 kB view details)

Uploaded Python 3

File details

Details for the file banxicoapi-1.0.2.tar.gz.

File metadata

  • Download URL: banxicoapi-1.0.2.tar.gz
  • Upload date:
  • Size: 4.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.7

File hashes

Hashes for banxicoapi-1.0.2.tar.gz
Algorithm Hash digest
SHA256 34999be81aaec3c67fe11d767ac92b5fc70490cd5430fc98594cce38c891aef2
MD5 a5128ca55f835e9414b387d15cfd82f5
BLAKE2b-256 8680b787f2fb22a63113de262cffd03f09cd12acbafb186760b0c6d86f896f44

See more details on using hashes here.

File details

Details for the file banxicoapi-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: banxicoapi-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 5.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.7

File hashes

Hashes for banxicoapi-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 14a65b5629e691f0311015c9e848501498a8c675fccff9e7bc99cab038ad6329
MD5 afae1c9045806b980af644937aea5590
BLAKE2b-256 804107f97a88e7a090534fd7c8bce415f82509f58b81f78405bafc6412a1c0e2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page