Python_Language

Python TutorialGetting Started with PythonPython Basic SyntaxPython DatatypesPython IndentationPython Collection TypesPython Basic Input and OutputPython Built in Modules and FunctionsPython FunctionsChemPy - python packageCreating Python packagesFunctional Programming in PythonIncompatibilities moving from Python 2 to Python 3IoT Programming with Python and Raspberry PIKivy - Cross-platform Python Framework for NUI DevelopmentMutable vs Immutable (and Hashable) in PythonPyInstaller - Distributing Python CodePython *args and **kwargsPython 2to3 toolPython Abstract Base Classes (abc)Python Abstract syntax treePython Alternatives to switch statement from other languagesPython and ExcelPython Anti-PatternsPython ArcPyPython ArraysPython Asyncio ModulePython Attribute AccessPython AudioPython Binary DataPython Bitwise OperatorsPython Boolean OperatorsPython Checking Path Existence and PermissionsPython ClassesPython CLI subcommands with precise help outputPython Code blocks, execution frames, and namespacesPython Collections modulePython Comments and DocumentationPython Common PitfallsPython Commonwealth ExceptionsPython ComparisonsPython Complex mathPython concurrencyPython ConditionalsPython configparserPython Context Managers (with Statement)Python Copying dataPython CountingPython ctypesPython Data SerializationPython Data TypesPython Database AccessPython Date and TimePython Date FormattingPython DebuggingPython DecoratorsPython Defining functions with list argumentsPython DeploymentPython Deque ModulePython DescriptorPython Design PatternsPython DictionaryPython Difference between Module and PackagePython DistributionPython DjangoPython Dynamic code execution with `exec` and `eval`Python EnumPython ExceptionsPython ExponentiationPython Files & Folders I/OPython FilterPython FlaskPython Functools ModulePython Garbage CollectionPython GeneratorsPython getting start with GZipPython graph-toolPython groupby()Python hashlibPython HeapqPython Hidden FeaturesPython HTML ParsingPython HTTP ServerPython IdiomsPython ijsonPython Immutable datatypes(int, float, str, tuple and frozensets)Python Importing modulesPython Indexing and SlicingPython Input, Subset and Output External Data Files using PandasPython Introduction to RabbitMQ using AMQPStorm



Python Filter

From WikiOD

Syntax[edit | edit source]

  • filter(function, iterable)
  • itertools.ifilter(function, iterable)
  • future_builtins.filter(function, iterable)
  • itertools.ifilterfalse(function, iterable)
  • itertools.filterfalse(function, iterable)

Parameters[edit | edit source]

Parameter Details
function callable that determines the condition or None then use the identity function for filtering (positional-only)
iterable iterable that will be filtered (positional-only)

Remarks[edit | edit source]

In most cases a comprehension or generator expression is more readable, more powerful and more efficient than filter() or ifilter().

Basic use of filter[edit | edit source]

To filter discards elements of a sequence based on some criteria:

names = ['Fred', 'Wilma', 'Barney']

def long_name(name):
    return len(name) > 5

Python 2.x2.0

filter(long_name, names)
# Out: ['Barney']

[name for name in names if len(name) > 5] # equivalent list comprehension
# Out: ['Barney']

from itertools import ifilter
ifilter(long_name, names)       # as generator (similar to python 3.x filter builtin)
# Out: <itertools.ifilter at 0x4197e10>
list(ifilter(long_name, names)) # equivalent to filter with lists
# Out: ['Barney']

(name for name in names if len(name) > 5) # equivalent generator expression
# Out: <generator object <genexpr> at 0x0000000003FD5D38>

Python 2.x2.6

# Besides the options for older python 2.x versions there is a future_builtin function:
from future_builtins import filter
filter(long_name, names)       # identical to itertools.ifilter
# Out: <itertools.ifilter at 0x3eb0ba8>

Python 3.x3.0

filter(long_name, names)        # returns a generator
# Out: <filter at 0x1fc6e443470>
list(filter(long_name, names))  # cast to list
# Out: ['Barney']

(name for name in names if len(name) > 5) # equivalent generator expression
# Out: <generator object <genexpr> at 0x000001C6F49BF4C0>

Filter without function[edit | edit source]

If the function parameter is None, then the identity function will be used:

list(filter(None, [1, 0, 2, [], '', 'a']))  # discards 0, [] and ''   
# Out: [1, 2, 'a']

Python 2.x2.0.1

[i for i in [1, 0, 2, [], '', 'a'] if i] # equivalent list comprehension

Python 3.x3.0.0

(i for i in [1, 0, 2, [], '', 'a'] if i) # equivalent generator expression

Filter as short-circuit check[edit | edit source]

filter (python 3.x) and ifilter (python 2.x) return a generator so they can be very handy when creating a short-circuit test like or or and:

Python 2.x2.0.1

 # not recommended in real use but keeps the example short:
from itertools import ifilter as filter

Python 2.x2.6.1

 from future_builtins import filter

To find the first element that is smaller than 100:

car_shop = [('Toyota', 1000), ('rectangular tire', 80), ('Porsche', 5000)]
def find_something_smaller_than(name_value_tuple):
    print('Check {0}, {1}$'.format(*name_value_tuple)
    return name_value_tuple[1] < 100
next(filter(find_something_smaller_than, car_shop))
# Print: Check Toyota, 1000$
#        Check rectangular tire, 80$
# Out: ('rectangular tire', 80)

The next-function gives the next (in this case first) element of and is therefore the reason why it's short-circuit.

Complementary function: filterfalse, ifilterfalse[edit | edit source]

There is a complementary function for filter in the itertools-module:

Python 2.x2.0.1

 # not recommended in real use but keeps the example valid for python 2.x and python 3.x
from itertools import ifilterfalse as filterfalse

Python 3.x3.0.0

from itertools import filterfalse

which works exactly like the generator filter but keeps only the elements that are False:

# Usage without function (None):
list(filterfalse(None, [1, 0, 2, [], '', 'a']))  # discards 1, 2, 'a' 
# Out: [0, [], '']

# Usage with function
names = ['Fred', 'Wilma', 'Barney']

def long_name(name):
    return len(name) > 5

list(filterfalse(long_name, names))
# Out: ['Fred', 'Wilma']

# Short-circuit useage with next:
car_shop = [('Toyota', 1000), ('rectangular tire', 80), ('Porsche', 5000)]
def find_something_smaller_than(name_value_tuple):
    print('Check {0}, {1}$'.format(*name_value_tuple)
    return name_value_tuple[1] < 100
next(filterfalse(find_something_smaller_than, car_shop))
# Print: Check Toyota, 1000$
# Out: ('Toyota', 1000)

# Using an equivalent generator:
car_shop = [('Toyota', 1000), ('rectangular tire', 80), ('Porsche', 5000)]
generator = (car for car in car_shop if not car[1] < 100)
next(generator)

Credit:Stack_Overflow_Documentation