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- import numpy as np
- class WindowStat:
- def __init__(self, name, n):
- self.name = name
- self.items = [None] * n
- self.idx = 0
- self.count = 0
- def push(self, obj):
- self.items[self.idx] = obj
- self.idx += 1
- self.count += 1
- self.idx %= len(self.items)
- def stats(self):
- if not self.count:
- _quantiles = []
- else:
- _quantiles = np.nanpercentile(self.items[:self.count],
- [0, 10, 50, 90, 100]).tolist()
- return {
- self.name + "_count": int(self.count),
- self.name + "_mean": float(np.nanmean(self.items[:self.count])),
- self.name + "_std": float(np.nanstd(self.items[:self.count])),
- self.name + "_quantiles": _quantiles,
- }
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