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Add quantiles to Statistics integration (#52189)

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* Add quantiles as another Statistics attribute

Quantiles divide states into intervals of equal probability. The
statistics.quantiles() function was added in Python 3.8 and can now
be included in the Statistics integration without new dependencies.

Quantiles can be used in conjunction with other distribution metrics to
create box plots (quartiles) and other graphical resources for
visualizing the distribution of states.

* Add quantiles reference to basic tests
This commit is contained in:
Carlos Gomes 2021-06-30 03:31:33 -03:00 • committed by GitHub
parent 9f16e390f5
commit f2906d0fca
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2 changed files with 54 additions and 4 deletions
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5
tests/components/statistics/test_sensor.py
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@ -48,6 +48,9 @@ class TestStatisticsSensor(unittest.TestCase):
self.median = round(statistics.median(self.values), 2)
self.deviation = round(statistics.stdev(self.values), 2)
self.variance = round(statistics.variance(self.values), 2)
self.quantiles = [
round(quantile, 2) for quantile in statistics.quantiles(self.values)
]
self.change = round(self.values[-1] - self.values[0], 2)
self.average_change = round(self.change / (len(self.values) - 1), 2)
self.change_rate = round(self.change / (60 * (self.count - 1)), 2)
@ -112,6 +115,7 @@ class TestStatisticsSensor(unittest.TestCase):
assert self.variance == state.attributes.get("variance")
assert self.median == state.attributes.get("median")
assert self.deviation == state.attributes.get("standard_deviation")
assert self.quantiles == state.attributes.get("quantiles")
assert self.mean == state.attributes.get("mean")
assert self.count == state.attributes.get("count")
assert self.total == state.attributes.get("total")
@ -188,6 +192,7 @@ class TestStatisticsSensor(unittest.TestCase):
# require at least two data points
assert state.attributes.get("variance") == STATE_UNKNOWN
assert state.attributes.get("standard_deviation") == STATE_UNKNOWN
assert state.attributes.get("quantiles") == STATE_UNKNOWN
def test_max_age(self):
"""Test value deprecation."""