languages = ["Python", "C", "C++", "C#", "Java"]
counter = 1
for item in languages:
print(counter, item)
counter += 1
for item in enumerate(languages):
print(item[0], item[1])
for num,lang in enumerate(languages):
print(num,lang)
[print(num,lang) for num,lang, in enumerate(languages)]animals = ["cat", "bird", "dog"]
#enumerate (For Index, Element)
for i, element in enumerate(animals,0):
print(i, element)
for x in enumerate(animals):
print(x, "UNPACKED =", x[0], x[1])
'''
0 cat
1 bird
2 dog
(0, 'cat') UNPACKED = 0 cat
(1, 'bird') UNPACKED = 1 bird
(2, 'dog') UNPACKED = 2 dog
''''''
In python, you can use the enumerate function to add a counter to
your objects in a tuple or list.
'''
myAlphabet = ['a', 'b', 'c', 'd', 'e']
countedAlphabet = list(enumerate(myAlphabet)) # List turns enumerate object to list
print(countedAlphabet) # [(0, 'a'), (1, 'b'), (2, 'c'), (3, 'd'), (4, 'e')]
myList = ['cats', 'dogs', 'fish', 'birds', 'snakes']
for index, pet in enumerate(myList):
print(index)
print(pet)# For loop where the index and value are needed for some operation
# Standard for loop to get index and value
values = ['a', 'b', 'c', 'd', 'e']
print('For loop using range(len())')
for i in range(len(values)):
print(i, values[i])
# For loop with enumerate
# Provides a cleaner syntax
print('\nFor loop using builtin enumerate():')
for i, value in enumerate(values):
print(i, value)
# Results previous for loops:
# 0, a
# 1, b
# 2, c
# 3, d
# 4, e
# For loop with enumerate returning index and value as a tuple
print('\nAlternate method of using the for loop with builtin enumerate():')
for index_value in enumerate(values):
print(index_value)
# Results for index_value for loop:
# (0, 'a')
# (1, 'b')
# (2, 'c')
# (3, 'd')
# (4, 'e')df.iloc[:, np.r_[1:10, 15, 17, 50:100]]
np.r_[1:10, 15, 17, 50:100]
array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 15, 17, 50, 51, 52, 53, 54, 55,
56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72,
73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,
90, 91, 92, 93, 94, 95, 96, 97, 98, 99])