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Find the unique indices for a dataset
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pip install special_snowflake==0.0.9
Because datasets are often provided with scant metadata, I want to
infer some of the conventional metadata without depending on special
information. One such sort of metadata is the schema of the dataset.
Special snowflake looks for unique identifiers in arbitrary datasets.
Run it like so. ::
$ snowflake bus_stops.csv
route.number, stop.id, n.students
time, n.students, location
route.name, n.students, location
route.name, stop.id
route.number, stop.id, time
By default, you get all of the combinations of up to three columns
inside ``bus_stops.csv`` that function as unique indices on the
full spreadsheet.
Or call it from Python! ::
from special_snowflake import fromcsv
from pprint import pprint
with open('open-data-index.csv') as fp:
pprint(fromcsv(csv.DictReader(fp), n_columns = 2, only_adjacent = False))
This program finds all of the combinations of one or two columns
inside ``open-data-index.csv`` that function as unique indices on the
full spreadsheet.
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