A Pandas ArrayExtension for handling currency with int64 performance
Project description
Pandas Money
A Pandas ArrayExtension for handling currency with int64 performance
Getting started
Add to your project
poetry add pandas-money
or with pip/pipenv
pipenv install pandas-money
Example
from decimal import Decimal
import pandas as pd
import pandas_money as pm
s = pd.Series(["1.11", "2.22", "3.33"], dtype="Money64")
print(s)
print(s + s)
print(s * Decimal("1.5"))
print(s / 2)
print(s.iloc[0], type(s.iloc[0]))
outputs
0 $1.11
1 $2.22
2 $3.33
dtype: Money64
0 $2.22
1 $4.44
2 $6.66
dtype: Money64
0 $1.66
1 $3.33
2 $5.00
dtype: Money64
0 $0.56
1 $1.11
2 $1.66
dtype: Money64
$1.11 <class 'moneyed.classes.Money'>
Setup
- Clone repo
poetry install
Run tests
make test
Format and lint before commit
make pre-commit
Project details
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