Overview
The fdicdata package provides a set of functions for working with data from the Federal Deposit Insurance Corporation (FDIC), including retrieving financial data for FDIC-insured institutions and accessing the data taxonomy.
Source Code: https://github.com/Visbanking/fdicdataPy
Visbanking Website: https://visbanking.com
Overview
Installation
pip install fdicdata
import fdicdata as fdic
Examples
### Data Taxonomy:
fdic.dataTaxonomy("institution")
### Get Failures:
fdic.getFailures(['CERT'], date_range=('2010','2015'), name=("DORAL BANK"))
### Get Financials:
fdic.getFinancials(IDRSSD_or_CERT=37, metrics=["ASSET", "DEP"], limit=10, date_range=["2015-01-01", "*"])
### Get History:
fdic.getHistory(CERT_or_NAME=3850, fields=["INSTNAME", "CERT", "PCITY", "PSTALP", "PZIP5"], CERT=True, limit=10)
### Get Institutions:
fdic.getInstitution(IDRSSD_or_CERT='480228', fields=["NAME", "CITY", "STATE"], limit=10)
### Get Institutions All:
fdic.getInstitutionsAll()
### Get Location:
fdic.getLocation(3850)
fdic.getLocation(3850, fields=['NAME', 'CITY', 'ZIP'])
### Get Summary:
fdic.getSummary(states = ["California", "New York"], date_range= ["2020", "2021"], fields = ["DEP", "ASSET"])
License
This project is licensed under the terms of the MIT license.
Metadata
Release files for fdicdata 0.1.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| fdicdata-0.1.7.tar.gz | 6.9 kB | Without provenance | Details for fdicdata-0.1.7.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| fdicdata-0.1.7-py3-none-any.whl | Python 3 | none | any | Details for fdicdata-0.1.7-py3-none-any.whl |
Total release size: 15.5 kB
Release files / fdicdata-0.1.7.tar.gz
| Download URL | fdicdata-0.1.7.tar.gz |
|---|---|
| Size | 6.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e6621440d2377e9e7318bae312e12bcfcb8e7e5e0babab7aa470184cb5a4bb41
|
|
BLAKE2b-256 checksum How to use checksums |
daaf3ade3d2804a02ed53fb6d29153707b9b2bc95675676b6d0757e4839e897d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|
Release files / fdicdata-0.1.7-py3-none-any.whl
| Download URL | fdicdata-0.1.7-py3-none-any.whl |
|---|---|
| Size | 8.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
78691a3913925ce319ebb43350ae4a173bdf30c500dff6774e0b3b222efc8563
|
|
BLAKE2b-256 checksum How to use checksums |
4aa34441b9263193f3389e77a28cb980a8a1229d85a104eeb896d0c16dd75b29
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|
Security for fdicdata 0.1.7
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.
To learn more about protecting yourself from malicious actors, visit our package security documentation.