def quantile(a, q, axis=None):
'''Quantile (or inverse cumulative distribution) function based on input
a -- data
q -- probability value(s)
axis -- can be None'''
q = _toList(q)
if axis is None:
if len(q) == 1:
return _stats.quantile(a, q)[0]
return _stats.quantile(a, q)
else:
if len(q) == 1:
return _stats.quantile(a, axis, q)[0]
return _stats.quantile(a, axis, q)
def quantile(a, q, axis=None):
'''Quantile (or inverse cumulative distribution) function based on input
a -- data
q -- probability value(s)
axis -- can be None'''
q = _toList(q)
if axis is None:
if len(q) == 1:
return _stats.quantile(a, q)[0]
return _stats.quantile(a, q)
else:
if len(q) == 1:
return _stats.quantile(a, axis, q)[0]
return _stats.quantile(a, axis, q)
def cumsum(a, axis=None):
'''Cumulative sum of input'''
if axis is None:
return _stats.cumulativeSum(a)
else:
return _stats.cumulativeSum(a, axis)
def cumprod(a, axis=None):
'''Cumulative product of input'''
if axis is None:
return _stats.cumulativeProduct(a)
else:
return _stats.cumulativeProduct(a, axis)
def median(a, axis=None):
'''Median of input'''
if axis is None:
return _stats.median(a)
else:
return _stats.median(a, axis)
def cumsum(a, axis=None):
'''Cumulative sum of input'''
if axis is None:
return _stats.cumulativeSum(a)
else:
return _stats.cumulativeSum(a, axis)
def cumprod(a, axis=None):
'''Cumulative product of input'''
if axis is None:
return _stats.cumulativeProduct(a)
else:
return _stats.cumulativeProduct(a, axis)
def median(a, axis=None):
'''Median of input'''
if axis is None:
return _stats.median(a)
else:
return _stats.median(a, axis)
def residual(a, b, weight=None):
'''Residual (sum of squared difference) of two inputs with optional weighting'''
if weight is None:
return _stats.residual(a, b)
return _stats.weightedResidual(a, b, weight)
def iqr(a, axis=None):
'''Interquartile range of input'''
if axis is None:
return _stats.iqr(a)
else:
return _stats.iqr(a, axis)
def kurtosis(a, axis=None):
'''Kurtosis of input'''
if axis is None:
return _stats.kurtosis(a)
else:
return _stats.kurtosis(a, axis)
def skewness(a, axis=None):
'''Skewness of input'''
if axis is None:
return _stats.skewness(a)
else:
return _stats.skewness(a, axis)
def residual(a, b, weight=None):
'''Residual (sum of squared difference) of two inputs with optional weighting'''
if weight is None:
return _stats.residual(a, b)
return _stats.weightedResidual(a, b, weight)
def iqr(a, axis=None):
'''Interquartile range of input'''
if axis is None:
return _stats.iqr(a)
else:
return _stats.iqr(a, axis)
def kurtosis(a, axis=None):
'''Kurtosis of input'''
if axis is None:
return _stats.kurtosis(a)
else:
return _stats.kurtosis(a, axis)
def skewness(a, axis=None):
'''Skewness of input'''
if axis is None:
return _stats.skewness(a)
else:
return _stats.skewness(a, axis)