Some simple tools for working with parsed Sensospot data.
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import pytest
CSV_DATA = """
category value
dog 3
cat 55
horse 35
cat 60
horse 9
"""
@pytest.fixture
def example():
import io
import pandas
buffer = io.StringIO(CSV_DATA.strip())
yield pandas.read_csv(buffer, sep="\t")
def test_selection_select(example):
from sensospot_tools.selection import select
result = select(example, "category", "horse")
assert list(result["category"]) == ["horse", "horse"]
assert list(result["value"]) == [35, 9]
def test_selection_split(example):
from sensospot_tools.selection import split
result = dict(split(example, "category"))
assert sorted(result.keys()) == ["cat", "dog", "horse"]
assert list(result["cat"]["value"]) == [55, 60]
assert list(result["dog"]["value"]) == [3]
assert list(result["horse"]["value"]) == [35, 9]