biopython

v1.71.0

biopython v1.71.0 Bio.Phylo.PhyloXML.Confidence

A general purpose confidence element.

For example, this can be used to express the bootstrap support value of a clade (in which case the type attribute is ‘bootstrap’).

:Parameters:

value : float
    confidence value
type : string
    label for the type of confidence, e.g. 'bootstrap'

Link to this section Summary

Functions

__abs__()

Return absolute value of Confidence object

__add__()

Conducts additions between value of two Confidence objects

__div__()

Conduct division between value of two Confidence objects

__eq__()

Checks for equality between Confidence objects

__float__()

Returns float value of Confidence object

__floordiv__()

C-style and old-style division in Py3.0+

__hash__()

Return the hash value of the object

__init__()

Initialize values for the Confidence object

__int__()

Returns integer value of Confidence object

__long__()

Returns long value of Confidence object

__mod__()

Conducts modulus between value of two Confidence objects

__mul__()

Conduct multiplication between value of two Confidence objects

__ne__()

Checks for inequality between two Confidence objects

__neg__()

Conducts negation of a Confidence object

__sub__()

Conduct subtraction between value of two Confidence objects

__truediv__()

Rational-style division in Py3.0+

Link to this section Functions

Link to this function __abs__()

Return absolute value of Confidence object.

Link to this function __add__()

Conducts additions between value of two Confidence objects.

Link to this function __div__()

Conduct division between value of two Confidence objects.

Link to this function __eq__()

Checks for equality between Confidence objects.

Link to this function __float__()

Returns float value of Confidence object.

Link to this function __floordiv__()

C-style and old-style division in Py3.0+.

Also active in Py2.5+ with future.division import.

Link to this function __hash__()

Return the hash value of the object.

Hash values are integers. They are used to quickly compare dictionary keys during a dictionary lookup. Numeric values that compare equal have the same hash value (even if they are of different types, as is the case for 1 and 1.0).

Link to this function __init__()

Initialize values for the Confidence object.

Link to this function __int__()

Returns integer value of Confidence object.

Link to this function __long__()

Returns long value of Confidence object.

Link to this function __mod__()

Conducts modulus between value of two Confidence objects.

Link to this function __mul__()

Conduct multiplication between value of two Confidence objects.

Link to this function __ne__()

Checks for inequality between two Confidence objects.

Link to this function __neg__()

Conducts negation of a Confidence object.

Link to this function __sub__()

Conduct subtraction between value of two Confidence objects.

Link to this function __truediv__()

Rational-style division in Py3.0+.

Also active in Py2.5+ with future.division import.