I\'m trying to figure out if there is a good way to manage units in my pandas data. For example, I have a DataFrame
that looks like this:
As I was searching for this, too. Here is what pint and the (experimental) pint_pandas is capable of today:
import pandas as pd
import pint
import pint_pandas
ureg = pint.UnitRegistry()
ureg.Unit.default_format = "~P"
pint_pandas.PintType.ureg.default_format = "~P"
df = pd.DataFrame({
"length": pd.Series([1.2, 7.8, 3.4], dtype="pint[m]"),
"width": pd.Series([3.4, 9.0, 5.6], dtype="pint[m]"),
"thickness": pd.Series([5.6, 1.2, 7.8], dtype="pint[cm]"),
})
print(df.pint.dequantify())
length width thickness
unit m m cm
0 1.2 3.4 5.6
1 7.8 9.0 1.2
2 3.4 5.6 7.8
df['width'] = df['width'].pint.to("inch")
print(df.pint.dequantify())
length width thickness
unit m in cm
0 1.2 133.858268 5.6
1 7.8 354.330709 1.2
2 3.4 220.472441 7.8