如何将所有字典保存到 CSV 文件？

Question

如何将这些字典的键作为列保存，将值作为行保存到 CSV？

    {'Full Name': None, 'Nick Name': None, 'profession': 'Model, 
    Actress', 'Height': 'in centimeters- 165 cm, in meters- 1.65 m, 
    in feet & inches- 5’ 5”', 'Weight': None}
    {'Full Name': None, 'Nick Name': 'Chikoo, Run Machine', 
    'profession': 'Indian Cricketer (Batsman)', 'Height': 'in 
    centimeters- 175 cm, in meters- 1.75 m, in Feet Inches- 5’ 9”', 
    'Weight': None}
    {'Full Name': 'Amitabh Harivansh Rai Shrivastava', 'Nick Name': 
    'Munna, Big B, Angry Young Man, AB Sr., Amith, Shahenshah of 
    Bollywood', 'profession': 'Actor, TV Host, Former Politician', 
    'Height': 'in centimeters- 188 cm, in meters- 1.88 m, in Feet 
    Inches- 6’ 2” [2]@SrBachchan', 'Weight': None}
   
    

Answer 1

我看到您正在遍历一组 URL，下载每个 URL 的 HTML，抓取该 HTML 并制作成一个字典。

您可以只收集每个字典，然后得到类似 all_dicts 的内容，正如我所展示的：

import csv

all_dicts = []

# for url in urllist:
    # request url
    # scrape html from url
    # somehow you convert scraped html to a dict, let's call it new_dict
    # all_dicts.append(new_dict)

# And, now you have all the dictionaries, and it looks something like this:
all_dicts = [
    {'Full Name': None, 'Nick Name': None, 'profession': 'Model, Actress',
        'Height': 'in centimeters- 165 cm, in meters- 1.65 m, in feet & inches- 5’ 5”', 'Weight': None},
    {'Full Name': None, 'Nick Name': 'Chikoo, Run Machine',
        'profession': 'Indian Cricketer (Batsman)', 'Height': 'in centimeters- 175 cm, in meters- 1.75 m, in Feet Inches- 5’ 9”', 'Weight': None},
    {'Full Name': 'Amitabh Harivansh Rai Shrivastava', 'Nick Name': 'Munna, Big B, Angry Young Man, AB Sr., Amith, Shahenshah of Bollywood',
        'profession': 'Actor, TV Host, Former Politician', 'Height': 'in centimeters- 188 cm, in meters- 1.88 m, in Feet Inches- 6’ 2” [2]@SrBachchan', 'Weight': None},
    # ... more of your dicts
]

# And then you move on to writing all_dicts
with open('my.csv', 'w', newline='') as f:
    writer = csv.DictWriter(f, fieldnames=all_dicts[0].keys())
    writer.writeheader()
    writer.writerows(all_dicts)