arifETS
arifETS is a Python package designed for tracking and analyzing expenses. It reads expense data from a CSV file (please provide path of your CSV file through terminal command or in your code) Calculates total and average expenses, categorizes expenses by category, and plots the expenses using Matplotlib.
Installation
You can install arifETS from PyPI using pip:
pip install arifETS
arifETS /path
Sample CSV Format
date,category,description,amount
2023-01-01,Food,Groceries,50.00
2023-01-02,Transport,Bus ticket,2.50
2023-01-03,Entertainment,Movie,12.00
2023-01-04,Food,Restaurant,30.00
2023-01-05,Bills,Electricity,100.00
(date,category,description,amount) these are main data headings please add enteries in your CSV according to it.
For reference CSV please visit
https://github.com/Arifs75/expense/blob/main/expense.csv
1 maintainer
Metadata
1 maintainer
Release files for arifETS 0.1.1
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 | |
|---|---|---|---|---|
| arifETS-0.1.1.tar.gz | 3.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| arifETS-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.1 kB
Release files / arifETS-0.1.1.tar.gz
| Download URL | arifETS-0.1.1.tar.gz |
|---|---|
| Size | 3.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9f821c7ec56eedf996b6d28417d68b8076b396beea1703481f34461fa47bee03
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.2
|
Release files / arifETS-0.1.1-py3-none-any.whl
| Download URL | arifETS-0.1.1-py3-none-any.whl |
|---|---|
| Size | 5.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
181be6265bcfc311c0e6bf2fa99ba4e419a4ba945329e270c17035862b742fc0
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BLAKE2b-256 checksum How to use checksums |
dbdab5a3c78547b661386c3b025e97134179f639deee322e625d01b46e71dc4d
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.2
|
Security for arifETS 0.1.1
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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