stat_utils.py File Reference

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Namespaces
	stat_utils

Functions
def	stat_utils.calcStats (array_f)
def	stat_utils.write_stats_nc (statSpace, statsDict)
def	stat_utils.read_stats_nc (statsFile)
def	stat_utils.aggStatsDF (x)
def	stat_utils.aggStatsDict (x_)
def	stat_utils.identityFunc (x)
def	stat_utils.rmsFunc (x, axis=0)
def	stat_utils.bootStrapVector (X, alpha=0.05, n_samples=8000, weights=None)
def	stat_utils.bootStrapVectorRMSFunc (X, Y, statFunc=np.subtract, alpha=0.05, n_samples=8000)
def	stat_utils.bootStrapAggRMSFunc (X, Y, Ns, statFunc=np.subtract, alpha=0.05, n_samples=8000)
def	stat_utils.bootStrapVectorFunc (X, Y, alpha=0.05, n_samples=5000, vecFuncs=[identityFunc], bootFuncs=[bootStrapVector], statFunc=np.subtract)
def	stat_utils.bootStrapClusterFunc (X, Y, alpha=0.05, n_samples=5000, statFunc=np.subtract, statNames=sampleableAggStats)

Variables
	stat_utils._logger = logging.getLogger(__name__)
	stat_utils.rKindStore = np.float32
string	stat_utils.rKindNC = 'f4'
	stat_utils.rKindCompute = np.float64
	stat_utils.ddof = int(0)
list	stat_utils.aggregatableFileStats = ['Count','Mean','MS','RMS','STD','Min','Max']
list	stat_utils.allFileStats = aggregatableFileStats
dictionary	stat_utils.statDtypes
dictionary	stat_utils.statDtypesCompute
list	stat_utils.sampleableAggStats = ['Count','Mean','MS','RMS']
list	stat_utils.fileStatAttributes
string	stat_utils.statsFilePrefix = 'stats_'
string	stat_utils.cimean = 'VALUE'
string	stat_utils.cimin = 'LO'
string	stat_utils.cimax = 'HI'
list	stat_utils.ciTraits = [cimean, cimin, cimax]