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pandassanslambdas 0.1.1
Pandas Sans Lambdas
Pandas method chaining using assign or loc usually means using lambdas. These get repetitive and reduce readability. Pandas Sans Lambdas is a solution to this. Here's an example:
import pandas as pd
from pandas_sans_lambdas import col
df = pd.DataFrame({"a": [1,2,3], "b": [4,5,6]})
# The old way
df = df.assign(with_lambdas = lambda DF: DF["a"] ** 2 / DF["b"])
# The new way
df = df.assign(sans_lambdas = col("a") ** 2 / col("b"))
print(df)
Hopefully you agree that this is more readable!
Current project status
This package is under development. Specifically, unit test coverage is currently incomplete. Get in touch if you want to contribute to test coverage, or if you find any bugs!
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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