A simple package to deflate BR currency values using IPCA's historical yearly and monthly indexes
Project description
Python brazilian currency deflator
A simple python package to deflate historical yearly or monthly values using IPCA (Consumers Broad Price Index).
Throught IPEA Data's API the function gather historical IPCA yearly (PRECOS_IPCAG series) and monthly (PRECOS12_IPCAG12 series) indexes to deflate currency values.
Installation:
pandas
andrequests
packages are required in your environment (python -m pip install pandas requests
).- Install the package (
pip install deflatepybr
)
Usage:
The function takes 5 arguments:
data_frame
: APandas.DataFrame
with the data;value_column
(str): A column containing the values to deflate;date_column
(str): Column name fromdata_frame
with the date range;deflate_year
(int): Year that you wanna deflate the series to;deflate_month
(int), optional: Month to deflate if you need monthly index values.
If only deflate_year
is passed, the functions assumes that Yearly values are desired.
Examples can be found in the example.ipynb
jupyter notebook file available on the project's Github page.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file deflatepybr-0.0.8.tar.gz
.
File metadata
- Download URL: deflatepybr-0.0.8.tar.gz
- Upload date:
- Size: 3.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a3d8ac17aa5c9ae7674e20c00008e5308643021cde5194d2d28e7a312b46bec9 |
|
MD5 | 99af700ff1a727358390a19b6ec419cf |
|
BLAKE2b-256 | d36b237d3dfea0dd9ae9e522ef6fcc7bde08600bae4f7778f05dd23d2ff28ab1 |
File details
Details for the file deflatepybr-0.0.8-py3-none-any.whl
.
File metadata
- Download URL: deflatepybr-0.0.8-py3-none-any.whl
- Upload date:
- Size: 4.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 50af3038e021dfa53f9b16bd5ab6fc21e7d745f696c09b0db483de63d01e5171 |
|
MD5 | 0f36099952e78ca59987d75a122f4c60 |
|
BLAKE2b-256 | c58bc79cba2b9c7404d6017c97c1132e7d59f4ad8b82fce6f26482e5e71843b6 |