创建字典

Question

我的目标是在Python中创建一个字典。我有一个.csv文件，其中包含两列，第一个是'单词'，另一个是'意思'。我正在尝试读取字典格式的csv文件，并在给出'单词'时获取'含义'。

你能帮我告诉我如何获得'单词'的价值？这是我的尝试：

我的代码，

>>> with open('wordlist.csv', mode = 'r') as infile: 
...  reader = csv.reader(infile) 
...  with open('wordlist.csv', mode = 'w') as outfile: 
...   writer = csv.writer(outfile) 
...   mydict = {rows[0]:rows[1] for rows in reader} 
...  print(mydict) 
... 

结果证明是，

{} 

下一个我想是，

>>> reader = csv.reader(open('wordlist.csv', 'r')) 
>>> d = {} 
>>> for row in reader: 
...  k, v = row 
...  d[k] = v 
... 

但当我想使用这个，结果是这样的 -

>>> d['Try'] 
Traceback (most recent call last): 
    File "<stdin>", line 1, in <module> 
KeyError: 'Try' 

下一个代码我试过了，

>>> reader = csv.DictReader(open('wordlist.csv')) 
>>> result = {} 
>>> for row in reader: 
...  key = row.pop('word') 
...  if key in result: 
...   pass 
...  result[key] = row 
...  print result 
... 

它并没有给我任何答案的。

>>> for row in reader: 
...  for column, value in row.iteritems(): 
...   result.setdefault(column, []).append(value) 
...  print result 
... 

这也没有给我一个结果。

Answer 1

我会用熊猫。然后你可以使用zip 2创建字典。

import pandas as pd  

df = pd.read_csv('wordlist.csv') 
words = list(df.word) 
meaning = dict(zip(df.word, df.meaning)) 

如果您的文件没有标题行，那没关系。只是打印出来的每一列仍然有一些可以引用的名字。

替代：

import pandas as pd  

df = pd.read_csv('wordlist.csv') 
dictionary = {} 

for w, s, m, p in zip(df.words, df.meaning): 
    dictionary[w] = [m, p] 

Answer 2

如果 “final_word.csv” 看起来是这样的：

word1, synonym1, meaning1, POS_tag1 
word2, synonym2, meaning2, POS_tag2 

这将在阅读它作为一个字典：

with open("final_word.csv",'r') as f: 
    rows = f.readlines() 

dictionary = {} 
for row in rows: 
    row = row.strip() 
    word, synonym, meaning, POS_tag = row.split(", ") 
    dictionary[word] = [synonym, meaning, POS_tag] 

print(dictionary['word1']) 
#out>> ['synonym1', 'meaning1', 'POS_tag1'] 
print(dictionary['word2'][0]) 
#out>> synonym2 

的strip（）用于消除换行符“\ n”在每个csv行的末尾