def qtmax(var, qt=95.):
"""Get max using quantiles
This is useful for very asymmetic distributions
:Params:
- **var**: A numeric array.
- **qt**, optional: Percentile used to define max
"""
if N.ma.isMA(var): var = var.compressed()
qt = N.clip([qt], 0, 100.)
vmax = percentiles(var.ravel(), qt)
return vmax
def qtmax(var, qt=95.):
"""Get max using quantiles
This is useful for very asymmetic distributions
:Params:
- **var**: A numeric array.
- **qt**, optional: Percentile used to define max
"""
if N.ma.isMA(var): var = var.compressed()
qt = N.clip([qt], 0, 100.)
vmax = percentiles(var.ravel(), qt)
return vmax
def qtminmax(var, qt=5.):
"""Get min and max using quantiles
This is useful for very asymmetic distributions
:Params:
- **var**: A numeric array.
- **qt**, optional: Percentile used to define min and max
- Single number: ``qt`` -> ``[qt, 100-qt]``
- Two elements: used directly.
"""
if N.ma.isMA(var): var = var.compressed()
if not hasattr(qt, '__len__'):
qt = [qt, 100-qt]
qt = N.sort(N.clip(N.asarray(qt), 0, 100.))
vmin, vmax = percentiles(var.ravel(), qt)
return vmin, vmax
def qtminmax(var, qt=5.):
"""Get min and max using quantiles
This is useful for very asymmetic distributions
:Params:
- **var**: A numeric array.
- **qt**, optional: Percentile used to define min and max
- Single number: ``qt`` -> ``[qt, 100-qt]``
- Two elements: used directly.
"""
if N.ma.isMA(var): var = var.compressed()
if not hasattr(qt, '__len__'):
qt = [qt, 100-qt]
qt = N.sort(N.clip(N.asarray(qt), 0, 100.))
vmin, vmax = percentiles(var.ravel(), qt)
return vmin, vmax