如何散列十万条记录作为 CSV 文件的输入？

Question

通过使用此代码，我只能散列 1 条记录，而不会出现任何错误或警告。如何对 CSV 文件中的十万条记录进行哈希处理？

import pandas as pd
proper = []
with open("C:\\Users\\krupa\\Downloads\\proper.csv","r") as f:
    for line in f:
        tokens = line.split(',')
        order_id =tokens[0]
        country = tokens[1]

        proper.append([order_id,country])

        #print(proper)
proper = {}
with open("C:\\Users\\krupa\\Downloads\\proper.csv","r") as f:
    for line in f:
        tokens = line.split(',')
        order_id =tokens[0]
        country = tokens[1]
        proper[order_id] = country
#print(proper)
def get_hash(key):
    key = int(key, base=10)
    hash_key = 0
    for i in range(key):
        hash_key += 1
    return hash_key % 100
get_hash('503618705')

class HashTable:  
    def __init__(self):
        self.MAX = 100
        self.arr = [None for i in range(self.MAX)]

    def get_hash(self, key):
        key = int(key, base=10)
        hash_key = 0
        for i in range(key):
            hash_key += 1
        return hash_key % self.MAX

    def __getitem__(self, index):
        h = self.get_hash(index)
        return self.arr[h]

    def __setitem__(self, key, val):
        h = self.get_hash(key)
        self.arr[h] = val    

    def __delitem__(self, key):
        h = self.get_hash(key)
        self.arr[h] = None
t = HashTable()
t["503618705"] = "Tanzania"
t.arr
print(t.arr)

代码没有错误，但我想对 CSV 文件中的所有记录进行哈希处理

Answer 1

您需要做的，是实际使用您的方法。 现在你__init__ 一个新对象t。然后，您将引用 list 中的索引并将 "Tanzania" 设置为值。 så 你实际上并没有在你的对象t 中使用你的方法，只有函数list，所以你可以做的是（我希望我正确理解了你的问题。）：

lst = ['Sweden', 'Germany', 'Pakistan', 'Syria', 'Norway']
idx = ["1234", "30", "500", "2034", "443"]

def get_hash(key):
    key = int(key, base=10)
    hash_key = 0
    for i in range(key):
        hash_key += 1
    return hash_key % 100
get_hash('50')

class HashTable:  
    def __init__(self):
        self.MAX = 100
        self.arr = [None for i in range(self.MAX)]

    def get_hash(self, key):
        key = int(key, base=10)
        hash_key = 0
        for i in range(key):
            hash_key += 1
        return hash_key % self.MAX

    def __getitem__(self, index):
        h = self.get_hash(index)
        return self.arr[h]

    def __setitem__(self, key, val):
        h = self.get_hash(key)
        self.arr[h] = val    

    def __delitem__(self, key):
        h = self.get_hash(key)
        self.arr[h] = None
t = HashTable()
for n, i in enumerate(lst):
    t.__setitem__(idx[n], lst[n])
for i in range(len(idx)):
    print(t.__getitem__(idx[i]))
    print(t.get_hash(idx[i]))