god — a grammar of data, for Python
One small vocabulary for manipulating tables, spelled the same way in Python, in R, and as plain text. A pipeline is checked whole before any of it runs, so a bad column is reported at the step that names it rather than failing partway through — or worse, not failing.
import pandas as pd
from god import *
sales = pd.read_csv("sales.csv")
sales >> keep(col.region == "West") \
>> summarize(margin = total(col.margin), by = col.product)
The same sentence runs as plain text, byte-for-byte what you would paste into R or into a database:
run("""
sales
then keep where [region] is "West"
then summarize [margin] as total([margin]) by [product]
""")
And when you reach the edge of the vocabulary, it shows you the same pipeline in
a tool you already know — show_as(pipeline, "pandas"), or "polars",
"pyspark", "dplyr", "sql", "spark".
Installing
pip install grammar-of-data
Then import god. The wheel carries its own engine, so there is nothing else to
install.
Every word answers for itself
help(god.keep), help(god.summarize), help(god.add_combinations) — every
verb, function and grammar word has a page with a worked example, a small table
going in and the answer coming out.
The two names to know
A column is col.name, because Python cannot look one up in your data the way R
does. The pipe is >>. Those are the only two differences from the R spelling,
and the rest of the vocabulary is identical.
The manual, live in both languages, is at https://psychometrician.github.io/god-book/.
1 maintainer
Metadata
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