Data Collection
- class cimba.DataSummary
Single-pass unweighted summary of sample moments.
- add(value)
- reset()
- merge(other)
- count
- min
- max
- mean
- variance
- stddev
- skewness
- kurtosis
- close()
- class cimba.WeightedSummary
Single-pass weighted summary of sample moments.
- add(value, weight=1.0)
- reset()
- merge(other)
- count
- weight_sum
- min
- max
- mean
- variance
- stddev
- skewness
- kurtosis
- close()
- class cimba.Dataset
Resizable collection of unweighted float samples.
- add(value)
- values()
- summary()
- reset()
- copy()
- merge(other)
- sort()
- acf(lags)
- pacf(lags)
- count
- min
- max
- median
- close()
- class cimba.TimeSeries
Sequence of
(time, value, weight)rows.- add(value, time)
- finalize(time)
- values()
- summary()
- reset()
- copy()
- sort_by_value()
- sort_by_time()
- acf(lags)
- pacf(lags)
- count
- min
- max
- median
- close()
See cimba.reporting for structured summaries, histograms,
correlograms, and optional Matplotlib plots built from these data objects.