如何计数列表中唯一值的出现

因此，我试图使这个程序，将要求用户输入，并将值存储在一个数组/列表。然后，当输入空行时，它会告诉用户这些值中有多少是唯一的。我做这个是出于现实生活的原因，而不是作为习题集。

enter: happy
enter: rofl
enter: happy
enter: mpg8
enter: Cpp
enter: Cpp
enter:
There are 4 unique words!

我的代码如下:

# ask for input
ipta = raw_input("Word: ")

# create list 
uniquewords = [] 
counter = 0
uniquewords.append(ipta)

a = 0   # loop thingy
# while loop to ask for input and append in list
while ipta: 
  ipta = raw_input("Word: ")
  new_words.append(input1)
  counter = counter + 1

for p in uniquewords:

．．到目前为止我就知道这么多我不知道如何计算一个列表中唯一的单词数? 如果有人可以发布解决方案，这样我就可以从中学习，或者至少向我展示它是如何伟大的，谢谢!

当前回答

如何:

import pandas as pd
#List with all words
words=[]

#Code for adding words
words.append('test')


#When Input equals blank:
pd.Series(words).nunique()

它返回列表中有多少个唯一值

2020-07-31 10:58:55

其他回答

你可以使用get方法:

lst = ['a', 'b', 'c', 'c', 'c', 'd', 'd']

dictionary = {}
for item in lst:
    dictionary[item] = dictionary.get(item, 0) + 1
    
print(dictionary)

输出:

{'a': 1, 'b': 1, 'c': 3, 'd': 2}

2021-07-13 18:00:59

ipta = raw_input("Word: ") ## asks for input
words = [] ## creates list
unique_words = set(words)

2012-09-05 13:20:51

如果你想要一个唯一值的直方图，这里是lineer

import numpy as np    
unique_labels, unique_counts = np.unique(labels_list, return_counts=True)
labels_histogram = dict(zip(unique_labels, unique_counts))

2020-11-24 17:22:29

Values, counts = np。独特的(话说,return_counts = True)

更详细地

import numpy as np

words = ['b', 'a', 'a', 'c', 'c', 'c']
values, counts = np.unique(words, return_counts=True)

函数numpy。Unique返回输入列表中已排序的唯一元素及其计数:

['a', 'b', 'c']
[2, 1, 3]

2018-07-08 04:06:56

ipta = raw_input("Word: ") ## asks for input
words = [] ## creates list

while ipta: ## while loop to ask for input and append in list
  words.append(ipta)
  ipta = raw_input("Word: ")
  words.append(ipta)
#Create a set, sets do not have repeats
unique_words = set(words)

print "There are " +  str(len(unique_words)) + " unique words!"

2012-09-05 13:31:57

如何计数列表中唯一值的出现

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