# Create a list
mylist = []
# Add an element to the front or back
mylist.append( "abc" )
mylist.insert(0, "def")
# Pop element off front or back
end = mylist.pop()
start = mylist.pop(0)
# Forward iterate over elements
for item in mylist:
print( item )
# Get the length of list
len( mylist )
# Test if empty
if not mylist:
print( "list is empty" )
## Location Based Operations
# Get item at location
mylist[2]
# Insert an item at location
mylist.insert( 3, "abc" )
# Remove an item from location
del mylist[2]
# Replace/Assign item at location
mylist[1] = "def"
# Find an item
if item in mylist:
index = mylist.index(item)
# Using `index` and error handling
try:
index = mylist.index( 'abc' )
except ValueError:
index = None
# Using `next` and filtering
next((x for x in mylist if x == 'ghif'), None)
# Find and remove an item
if item in mylist:
mylist.remove(item)
# with error handling
try:
mylist.remove( item )
except ValueError:
pass
# Find last matching item
# Index of found item, or None
next( (index for index in reversed(range(len(mylist))) if mylist[index] == item), None)
# Alternately, reverse list and use "Find an item", but that copies the list
revlist = mylist[::-1]
if item in revlist:
index = revlist.index(item)
# Sort by natural order
# in-place sort
mylist.sort()
# Sort with custom comparator
mylist = [ ('a', 10), ('b', 7), ('c',13), ('d',1) ]
# sort by a key (sub-element
mylist.sort( key = lambda item: item[1] )
# custom comparator
def compare_fn( a, b ):
return some_cond(a,b)
mylist.sort( key = functools.cmp_to_key( compare_fn ) )
# Split the list at arbitrary location
tail_of_list = mylist[2:]
head_of_list = mylist[:2]
# Multiple splits based on a match
mylist = ['a', 'b', 'c', 'd', 'b', 'e']
[list(y) for x, y in itertools.groupby(mylist, lambda z: z == 'b') if not x]
# Clear the list
mylist.clear()
# Remove segment
# delete from position 1 up to, but excluding position 3
del mylist[1:3]
# Concatenate lists
mylist + other_list
# Insert list at location
# list slicing replaces the segment of list with another one, here we replace a zero-length slice
mylist[1:1] = other_list
# Get a sublist
# sublist starting at position 1 up to, but excluding, position 3
mylist[1:3]
# Backward
for item in reversed(mylist):
print(item)
# Partial segment iteration
# using itertools.islice avoids copying the list (which is what would happen if you used a slice)
for item in itertools.islice( mylist, 1, 4 ):
print(item)
# Skipping elements
# step from element 1 to 6 (exclusive) by 2
for item in itertools.islice( mylist, 1, 6, 2 ):
print(item)
# Create from a static list of items
mylist = [ 'abc', 'def', 'ghi']
# Create a range of numbers
# a list of numbers from 10..20 (exclusive)
numbers = list(range(10,20))
# Mapping
[number * 10 for number in numbers]
# Filtering
[number for number in numbers if number % 2 == 0]
# Fold / Reduce
# Summing up numbers using builtin add
functools.reduce( operator.add, numbers )
# Joining string representations of items
functools.reduce( lambda left,right: str(left) + '/' + str(right), mylist )
# Zip
# the zip function produces a list of tuples
zip( lista, listb )
# to alternate items into one list use reduce
functools.reduce( operator.add, zip(lista, listb) )
# Swap elements at two locations
mylist[3], mylist[5] = mylist[5], mylist[3]
# Reserve capacity
# Python lists do not expose capacity
# Replace content in a list
mylist[:] = other_list
# Compare two lists
lista == listb
# Search a sorted list
# bisect_left/bisect_right work with sorted lists,
# find an item ndx using bisect_left, finds the left-most item
ndx = bisect_left(numbers, 4)
if ndx != len(numbers) and numbers[ndx] == 4
print( "Found at {}".format(ndx) )
# Iterators
# Manually stepping through an iterator
myiter = iter(mylist)
while True:
try:
n = next(myiter)
print(n)
except StopIteration:
break
# Multiple iterators at the same time
itera = iter(lista)
iterb = iter(listb)
while True:
try:
a = next(itera)
b = next(iterb)
print(a,b)
except StopIteration:
break