如何获取列表项中的元素数?

items = ["apple", "orange", "banana"]

# There are 3 items.

当前回答

有三种方法可以找到列表中元素的长度。我将在这里比较这三种方法与性能分析。

方法1:使用len()

items = []
items.append("apple")
items.append("orange")
items.append("banana")

print(len(items))

输出:

3

方法2:使用Naive Counter方法

items = []
items.append("apple")
items.append("orange")
items.append("banana")

counter = 0
for i in items:
    counter = counter + 1

print(counter)

输出:

3

方法3:使用length_hint()

items = []
items.append("apple")
items.append("orange")
items.append("banana")

from operator import length_hint
list_len_hint = length_hint(items)
print(list_len_hint)

输出:

3

性能分析–Naive vs len()vs length_hint()

注意:为了进行比较,我将输入列表更改为一个大集合,该集合可以提供大量的时间差来比较方法。

items = list(range(100000000))

# Performance Analysis
from operator import length_hint
import time

# Finding length of list
# using loop
# Initializing counter

start_time_naive = time.time()
counter = 0
for i in items:
    # incrementing counter
    counter = counter + 1
end_time_naive = str(time.time() - start_time_naive)

# Finding length of list
# using len()
start_time_len = time.time()
list_len = len(items)
end_time_len = str(time.time() - start_time_len)

# Finding length of list
# using length_hint()
start_time_hint = time.time()
list_len_hint = length_hint(items)
end_time_hint = str(time.time() - start_time_hint)

# Printing Times of each
print("Time taken using naive method is : " + end_time_naive)
print("Time taken using len() is : " + end_time_len)
print("Time taken using length_hint() is : " + end_time_hint)

输出:

Time taken using naive method is : 7.536813735961914
Time taken using len() is : 0.0
Time taken using length_hint() is : 0.0

结论

可以清楚地看到,与其他两种方法相比,naive所花费的时间非常长,因此len()和length_hint()是最好的选择。

其他回答

为了完整性(主要是教育性的),可以不使用len()函数。我不会容忍这是一个很好的选择,不要在巨蟒身上这样编程,但它有助于学习算法。

def count(list):   # list is an iterable object but no type checking here!
    item_count = 0
    for item in list:
        item_count += 1
    return item_count

count([1,2,3,4,5])

(列表对象必须是可迭代的,由节中的for..暗示。)

对于新程序员来说,这里的教训是:如果不在某个时间点对项目进行计数,就无法获得列表中的项目数。问题变成了:什么时候是计算它们的好时机?例如,高性能代码,如套接字的connect系统调用(用C编写)connect(int sockfd,const struct sockaddr*addr,socklen_t addrlen);,不计算元素的长度(将该责任赋予调用代码)。请注意,地址的长度是为了保存首先计算长度的步骤而传递的?另一种选择是:在计算上,当您将项目添加到传递的对象中时,跟踪项目的数量可能是有意义的。请注意,这会占用更多的内存空间。看看Naftuli Kay的回答。

跟踪长度以提高性能同时占用更多内存空间的示例。注意,我从不使用len()函数,因为长度是跟踪的:

class MyList(object):
    def __init__(self):
        self._data = []
        self.length = 0 # length tracker that takes up memory but makes length op O(1) time
        

        # the implicit iterator in a list class
    def __iter__(self):
        for elem in self._data:
            yield elem
            
    def add(self, elem):
        self._data.append(elem)
        self.length += 1
            
    def remove(self, elem):
        self._data.remove(elem)
        self.length -= 1
            
mylist = MyList()
mylist.add(1)
mylist.add(2)
mylist.add(3)
print(mylist.length) # 3
mylist.remove(3)
print(mylist.length) # 2

您可以使用len()函数来查找python中可迭代项的长度。

my_list = [1, 2, 3, 4, 5]
print(len(my_list))  # OUTPUT: 5

len()函数还可以处理字符串:

my_string = "hello"
print(len(my_string))  # OUTPUT: 5

最后,len()可用于任何序列或集合(或定义__len__的任何大小的对象)。

python中有一个名为len()的内置函数,在这些情况下会有所帮助。

>>> a = [1,2,3,4,5,6]
>>> len(a)  # Here the len() function counts the number of items in the list.
6

这在字符串的情况下会稍微不同:它计算字符。

>>> a = "Hello"
>>> len(a)
5

要获取任何顺序对象中的元素数,Python中的goto方法是len()。

a = range(1000) # range
b = 'abcdefghijklmnopqrstuvwxyz' # string
c = [10, 20, 30] # List
d = (30, 40, 50, 60, 70) # tuple
e = {11, 21, 31, 41} # set

len()方法可以处理所有上述数据类型,因为它们是可迭代的,即您可以对它们进行迭代。

all_var = [a, b, c, d, e] # All variables are stored to a list
for var in all_var:
    print(len(var))

len()方法的粗略估计

def len(iterable, /):
    total = 0
    for i in iterable:
        total += 1
    return total

有三种方法可以找到列表中元素的长度。我将在这里比较这三种方法与性能分析。

方法1:使用len()

items = []
items.append("apple")
items.append("orange")
items.append("banana")

print(len(items))

输出:

3

方法2:使用Naive Counter方法

items = []
items.append("apple")
items.append("orange")
items.append("banana")

counter = 0
for i in items:
    counter = counter + 1

print(counter)

输出:

3

方法3:使用length_hint()

items = []
items.append("apple")
items.append("orange")
items.append("banana")

from operator import length_hint
list_len_hint = length_hint(items)
print(list_len_hint)

输出:

3

性能分析–Naive vs len()vs length_hint()

注意:为了进行比较,我将输入列表更改为一个大集合,该集合可以提供大量的时间差来比较方法。

items = list(range(100000000))

# Performance Analysis
from operator import length_hint
import time

# Finding length of list
# using loop
# Initializing counter

start_time_naive = time.time()
counter = 0
for i in items:
    # incrementing counter
    counter = counter + 1
end_time_naive = str(time.time() - start_time_naive)

# Finding length of list
# using len()
start_time_len = time.time()
list_len = len(items)
end_time_len = str(time.time() - start_time_len)

# Finding length of list
# using length_hint()
start_time_hint = time.time()
list_len_hint = length_hint(items)
end_time_hint = str(time.time() - start_time_hint)

# Printing Times of each
print("Time taken using naive method is : " + end_time_naive)
print("Time taken using len() is : " + end_time_len)
print("Time taken using length_hint() is : " + end_time_hint)

输出:

Time taken using naive method is : 7.536813735961914
Time taken using len() is : 0.0
Time taken using length_hint() is : 0.0

结论

可以清楚地看到,与其他两种方法相比,naive所花费的时间非常长,因此len()和length_hint()是最好的选择。