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)
