Skip to main content

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.

Metadata

Release files for banxicoapi 1.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for banxicoapi 1.0.2
File Size Uploaded Provenance
banxicoapi-1.0.2.tar.gz 4.8 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for banxicoapi 1.0.2
File Interpreter ABI Platform
banxicoapi-1.0.2-py3-none-any.whl Python 3 none any Details

Total release size: 10.5 kB

Release files / banxicoapi-1.0.2.tar.gz

Download URL banxicoapi-1.0.2.tar.gz
Size 4.8 kB
Tags Source
SHA-256 checksum
How to use checksums
34999be81aaec3c67fe11d767ac92b5fc70490cd5430fc98594cce38c891aef2
BLAKE2b-256 checksum
How to use checksums
8680b787f2fb22a63113de262cffd03f09cd12acbafb186760b0c6d86f896f44
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.0 CPython/3.11.7

Release files / banxicoapi-1.0.2-py3-none-any.whl

Download URL banxicoapi-1.0.2-py3-none-any.whl
Size 5.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
14a65b5629e691f0311015c9e848501498a8c675fccff9e7bc99cab038ad6329
BLAKE2b-256 checksum
How to use checksums
804107f97a88e7a090534fd7c8bce415f82509f58b81f78405bafc6412a1c0e2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.0 CPython/3.11.7

Security for banxicoapi 1.0.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page