def TwoDimensionallyHistogram(xnum, xlow, xhigh, xquantity,
ynum, ylow, yhigh, yquantity,
selection=unweighted):
"""Convenience function for creating a conventional, two-dimensional histogram."""
return Select.ing(selection,
Bin.ing(xnum, xlow, xhigh, xquantity,
Bin.ing(ynum, ylow, yhigh, yquantity)))
def ProfileErr(num,
low,
high,
binnedQuantity,
averagedQuantity,
selection=unweighted):
"""Convenience function for creating a physicist's "profile plot," which is a Profile with variances."""
return Select.ing(
selection,
Bin.ing(num, low, high, binnedQuantity, Deviate.ing(averagedQuantity)))
def Profile(num,
low,
high,
binnedQuantity,
averagedQuantity,
selection=unweighted):
"""Convenience function for creating binwise averages."""
return Select.ing(
selection,
Bin.ing(num, low, high, binnedQuantity, Average.ing(averagedQuantity)))
def Histogram(num, low, high, quantity=identity):
"""Create a conventional histogram that is capable of being filled and added.
Parameters:
num (int): the number of bins; must be at least one.
low (float): the minimum-value edge of the first bin.
high (float): the maximum-value edge of the last bin; must be strictly greater than `low`.
quantity (function returning float or string): function that computes the quantity of interest from
the data. pass on all values by default. If a string is given, quantity is set to identity(string),
in which case that column is picked up from a pandas df.
"""
return Bin.ing(num, low, high, quantity, Count.ing(), Count.ing(), Count.ing(), Count.ing())
def HistogramCut(num, low, high, quantity=identity, selection=unweighted):
"""Create a conventional histogram that is capable of being filled and added, with a selection cut.
Parameters:
num (int): the number of bins; must be at least one.
low (float): the minimum-value edge of the first bin.
high (float): the maximum-value edge of the last bin; must be strictly greater than `low`.
quantity (function returning float or string): function that computes the quantity of interest from
the data. pass on all values by default. If a string is given, quantity is set to identity(string),
in which case that column is picked up from a pandas df.
selection (function returning boolean): function that computes if data point is accepted or not.
default is: lamba x: True
"""
return Select.ing(selection, Bin.ing(num, low, high, quantity, Count.ing(), Count.ing(), Count.ing(), Count.ing()))
def ProfileErr(num, low, high, binnedQuantity, averagedQuantity):
"""Convenience function for creating a profile plot
This is a Profile with variances.
"""
return Bin.ing(num, low, high, binnedQuantity, Deviate.ing(averagedQuantity))
def Profile(num, low, high, binnedQuantity, averagedQuantity):
"""Convenience function for creating binwise averages."""
return Bin.ing(num, low, high, binnedQuantity, Average.ing(averagedQuantity))
def Histogram(num, low, high, quantity, selection=unweighted):
"""Convenience function for creating a conventional histogram."""
return Select.ing(
selection,
Bin.ing(num, low, high, quantity, Count.ing(), Count.ing(),
Count.ing(), Count.ing()))
def ProfileErr(num, low, high, binnedQuantity, averagedQuantity, selection=unweighted):
"""Convenience function for creating a physicist's "profile plot," which is a Profile with variances."""
return Select.ing(selection,
Bin.ing(num, low, high, binnedQuantity,
Deviate.ing(averagedQuantity)))
def Profile(num, low, high, binnedQuantity, averagedQuantity, selection=unweighted):
"""Convenience function for creating binwise averages."""
return Select.ing(selection,
Bin.ing(num, low, high, binnedQuantity,
Average.ing(averagedQuantity)))
def Histogram(num, low, high, quantity, selection=unweighted):
"""Convenience function for creating a conventional histogram."""
return Select.ing(selection, Bin.ing(num, low, high, quantity,
Count.ing(), Count.ing(), Count.ing(), Count.ing()))