Tutorial 15: Patterns Generators Referenceπ
There are several other Pattern classes in FoxDot that help you generate arrays of numbers but also behave in the same way as the base Pattern. To see what Patterns exist and have a go at using them, execute
PEuclidπ
PEuclid(n, k)
Returns the Euclidean rhythm which spreads 'n' pulses over 'k' steps as evenly as possible.
PDurπ
PDur(n, k, start=0, dur=0.25)
Returns the actual durations based on Euclidean rhythms (see PEuclid) where dur is the length of each step. Spreads 'n' pulses over 'k' steps as evenly as possible
# Gives a list of 3 dur, appened with a list of 5 dur
print(PDur([3,5],8))
d1 >> play("x", dur=PDur(5,8))
PIndexπ
Returns the index being accessed
PSineπ
PSine(n=16)
Returns values of one cycle of sine wave split into 'n' parts
PTriπ
PTri(start, stop=None, step=None)
Returns a Pattern equivalent to Pattern(range(start, stop, step)) with its reversed form appended.
Think of it like a "Tri"angle.
# Up to 5 then down to 1
print(PTri(5))
# Up to 8 then down to 1
print(PTri(8))
# From 3 to 10, then down to 4
print(PTri(3,10))
# From 3 to 30, by 2, then down to 4
print(PTri(3,20,2))
# Up to 4, then down to 1, then up to 8, then down to 1
print(PTri([4,8]))
p1 >> pluck(PTri(5), scale=Scale.default.pentatonic)
# Same as
p1 >> pluck(PRange(5) | PRange(5,0,-1), scale=Scale.default.pentatonic)
PRandπ
PRand(start, stop=None)
Returns a random integer between start and stop.
# Returns a random integer between 0 and start.
print(PRand(8)[:5])
# Returns a random integer between start and stop.
print(PRand(8,16)[:5])
# If start is a container-type it returns a random item for that container.
print(PRand([1,2,3])[:5])
# You can supply a seed
print(PRand([1,2,3], seed=5)[:5])
# Keeps generating random tune
p1 >> pluck(PRand(8))
# Creates a random list, and iterates over that same list
p1 >> pluck(PRand(8)[:3])
PRhythmπ
PRhythm takes a list of single durations and tuples that contain values that can be supplied to the PDur
The following plays the hi hat with a Euclidean Rhythm of 3 pulses in 8 steps
PSumπ
PSum(n, total)
Returns a Pattern of length 'n' that sums to equal 'total'
# Returns a pattern of length 2, with elements summed up to 8
print(PSum(3,8))
# Returns a pattern of length 5, with elements summed up to 4
print(PSum(5,4))
PStepπ
PStep(n, value, default=0)
Returns a Pattern that every n-term is 'value' otherwise 'default'
# Every 4, make it 1, otherwise default to 0
print(PStep(4,1))
# Every 8, make it 6, otherwise, 4
print(PStep(8,6,4))
# Every 5, make it 2, otherwise, 1
print(PStep(5,2,1))
PWalkπ
PWalk(max=7, step=1, start=0)
By default, returns a pattern with each element randomly 1 higher or lower than the previous
print(PWalk()[:16])
# Changing step
print(PWalk(step=2)[:16])
# With max
print(PWalk(max=2)[:16])
# Start at a non-zero number
print(PWalk(start=6)[:16])
PWhiteπ
PWhite(lo=0, hi=1)
Returns random floating point values between 'lo' and 'hi'
# Lo defaults to 0, hi defaults to 1
print(PWhite()[:8])
# Returns random numbers between 1 and 5
print(PWhite(1,5)[:8])
Custom Generator Patternsπ
Custom generator patterns can be made by subclassing GeneratorPattern
and overriding GeneratorPattern.func
class CustomGeneratorPattern(GeneratorPattern):
def func(self, index):
return int(index / 4)
print(CustomGeneratorPattern()[:10])
This can be done more consisely using GeneratorPattern.from_func,
passing in a function which takes an index and returns some pattern item.
We can use lambdas too