Question

我有一个包含以下各列的CSV文件，

ZoneMaterialName1,ZoneThickness1
Copper,2.5
Copper,2.5
Aluminium,3
Zinc, 
Zinc,
Zinc,6
Aluminium,4

可以看出，某些值重复多次，有时可能是空白或一个句点。

我想要一个仅具有唯一值的哈希表，例如

ZoneMaterialName1,ZoneThickness1
Copper:[2.5]
Aluminium:[3,4]
Zinc:[6]

这是我想出的代码，输出缺少2.5之类的浮点数，并且还允许空白和句点。

import csv
from collections import defaultdict
import csv
afile = open('/mnt/c/python_test/Book2.csv', 'r+')
csvReader1 = csv.reader(afile)

reader = csv.DictReader(open('/mnt/c/python_test/Book2.csv'))
nodes = defaultdict(type(''))

for row in reader:

       if (row['ZoneThickness1'] !=' ' and row['ZoneThickness1'] !='.'):
               nodes[row['ZoneMaterialName1']]+=(row['ZoneThickness1'])
new_dict = {a:list(set(b)) for a, b in nodes.items()}
print new_dict

方法：我最初是创建字典并将其值转换为集合的。

Answer 1

我建议您尝试将第二列强制转换为@PostMapping("/technologyList") public String uploadMultipartFile(@RequestParam("logo") MultipartFile file, @RequestParam("techName")String techName) { User user = userService.findByUsername("wmangram"); try { // save file to MySQL Skills newSkill = new Skills(techName, file.getBytes(), user); skillsService.createTechnology(newSkill); return "File uploaded successfully! -> filename = " + file.getOriginalFilename(); } catch (Exception e) { return "FAIL! Maybe You had uploaded the file before or the file's size > 500KB"; } }并仅添加那些是有效浮点数的值。另外，您可以使用float来避免某些材料的重复值。

这可以像这样完成（我使用set，因为您为两个python版本都标记了这个问题）：

Python 3.x

这将提供以下输出：

import collections
import csv

result = collections.defaultdict(set)

with open('test.txt', 'r') as f:
    csv_r = csv.DictReader(f)

    for row in csv_r:
        try:
            v = float(row['ZoneThickness1'])
        except ValueError:
            # skip this line, because it is not a valid float
            continue

        # this will add the material if it doesn't exist yet and
        # will also add the value if it doesn't exist yet for this material
        result[row['ZoneMaterialName1']].add(v)

for k, v in result.items():
    print(k, v)

无法为CSV文件中的列生成正确的哈希表

1 个答案: