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# conventional method
x_coords = [101, 102, 103, 104, 105, 111, 107, 112]
y_coords = [552, 557, 524, 522, 526, 530, 535, 540]
frame_num = [22, 23, 24, 27, 28, 29, 30, 31]
i = 0
for coord in x_coords:
print(frame_num[i], x_coords[i], y_coords[i])
i += 1
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for i, coord in enumerate(x_coords):
print(frame_num[i], x_coords[i], y_coords[i])
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for x, y in zip(x_coords, y_coords):
print(x, y)
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# will work with shoter list, but if lists longer than i, will give error
for i, (x, y) in enumerate(zip(x_coords, y_coords)):
print(frame_num[i], x, y)
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x_coords2 = [101, 102, 103, 104, 105, 111, 107, 112]
y_coords2 = [552, 557, 524, 522, 526, 530, 535, 540] # test out shorter
frame_num2 = [22, 23, 24, 27, 28, 29, 30, 31] # test out shorter
for i, (x, y) in enumerate(zip(x_coords, y_coords2)):
print(frame_num[i], x, y)
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list_of_nums = [1, 2, 3, 4, 5]
print(list_of_nums[1])
print(list_of_nums[0:4])
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rna = "AUGGG"
print(rna[0])
print(rna[-1])
print(rna[-1::-1])
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list_of_strings = ["#some comment", "useful data", "#another_comment"]
for string in list_of_strings:
if string[0] != "#":
print(string)
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dna = "AGT" * 25
print(dna)
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dna_list = ["AGT"] * 5
print(dna_list)
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long_dna_list = ["AGT" * 20] * 5
print(long_dna_list)
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empty_list = [None] * 10
print(empty_list)
for i, item in enumerate(empty_list):
empty_list[i] = 5
print(empty_list)
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for i in range(1, 10):
print(i)
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x_coords = [101, 102, 103, 104, 105, 111, 107, 112]
squared_list = []
for coord in x_coords:
squared = coord * coord
squared_list.append(squared)
print(squared_list)
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x_coords = [101, 102, 103, 104, 105, 111, 107, 112]
squared_list = [coord * coord for coord in x_coords]
print(squared_list)
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x_coords = [101, 102, 103, 104, 105, 111, 107, 112]
squared_list = [coord * coord for coord in x_coords if coord > 110]
print(squared_list)
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x_coords = [101, 102, 103, 104, 105, 111, 107, 112]
squared_list = [coord * coord if coord > 110 else 0 for coord in x_coords]
print(squared_list)
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duplicate = [1, 2, 2, 2, 3, 4, 5, 6, 7, 8, 9, 9, 9, 9, 9]
unique = set(duplicate)
print(unique)
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# Note that I'm using a list of tuples
duplicate_groups = [(1, 2), (2, 1), (3, 4), (1, 2), (3, 3), (3, 3), (2, 2)] # cares about order within tuples
unique_groups = set(duplicate_groups)
print(unique_groups)
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# normal way to join two lists
sports_list1 = ["Tennis", "Cricket", "Rugby", "AFL", "Archery"]
sports_list2 = ["Tennis", "Cricket", "Fencing", "Swimming"]
sports_list1.extend(sports_list2)
print(sports_list1)
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# ensuring you only only have unique elements
sports1 = set(["Tennis", "Cricket", "Rugby", "AFL", "Archery"])
sports2 = set(["Tennis", "Cricket", "Fencing", "Swimming"])
all_sports = sports1.union(sports2)
print(all_sports)
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# sports the sets have in common
print(sports1.intersection(sports2))
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# sports one set has that the other does not
print(sports1.difference(sports2))
print(sports2.difference(sports1))
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# sports neither set have in common
print(sports1.symmetric_difference(sports2))
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list_of_numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
def squared(number):
return number * number
list_of_squared_numbers = []
for number in list_of_numbers:
squared_number = squared(number)
list_of_squared_numbers.append(squared_number)
print(list_of_squared_numbers)
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map_squared_numbers = map(squared, list_of_numbers)
print(list(map_squared_numbers))
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new_numbers = [10 , 20 , 30, 40, 50, 60, 70, 80 ,90, 100, 110, 120, 130, 140, 150]
def less_than_100(number):
if number < 100:
return True
else:
return False
small_numbers = filter(less_than_100, new_numbers)
print(list(small_numbers))
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# moved in Python3
from functools import reduce
other_numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]
def summing(num1, num2):
return num1 + num2
sum_of_numbers = reduce(summing, other_numbers)
print(sum_of_numbers)
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