如何删除一组字典中所有字典的字典中某个值后某个字符的所有内容？

Question

My goal is to remove all characters after a certain character in a value from a set of dictionaries.

I have imported a CSV file from my local machine and printed using the following code:

import csv
with open('C:\Users\xxxxx\Desktop\Aug_raw_Page.csv') as csvfile:
    reader=csv.DictReader(csvfile)
    for row in reader:
        print row

I get a set of directories that look like:

{Pageviews_Aug':'145', 'URL':'http://www.domain.com/#fbid=12345'}

For any directory that includes a value with #fbid , I am trying to removing #fbid and any characters that come after that - for all directories where this is true.

I have tried:

for key,value in row.items():
       if key == 'URL' and '#' in value or 'fbid' in value
            value.split('#')[0]
            print row

Didn't work.

Don't think rsplit will work as it removes only whitespace.

Answer 1

Fastest way I thought about is using rsplit()

out = text.rsplit('#fbid')[0]

---

Okay, so I'm guessing your problem isn't in removing the text that comes afer the # but in getting to that string.

What is 'row'? I'm guessing it's a dictionnary with a single 'URL' key, am I wrong?

 for key,value in row.items():
     if key == 'URL' and '#fbid' in value:
        print value.split('#')[0]

---

I don't quite get the whole format of your data. If you want to edit a single variable in your dictionary, you don't have to iterate through all the items:

if 'URL' in row.keys():
    if '#fbid' in row['URL']:
         row['URL'] = row['URL'].rsplit('#fbid')[0]

That should work. But I really think you should copy an example of your whole data (three items would suffice)

Answer 2

Use a regular expression:

>>> import re
>>> value = 'http://www.domain.com/#fbid=12345'
>>> re.sub(ur'#fbid.*','',value)
'http://www.domain.com/'
>>> value = 'http://www.domain.com/'
>>> re.sub(ur'#fbid.*','',value)
'http://www.domain.com/'

---

for your code you could do something like this to get the answer in the same format as before:

import csv
with open('C:\Users\xxxxx\Desktop\Aug_raw_Page.csv') as csvfile:
    reader=csv.DictReader(csvfile)
    for row in reader:
        row['URL'] = re.sub(ur'#fbid.*','',row['URL'])
        print row

Answer 3

given your sample code, it looks to you that don't work because you don't save the result of value.split('#')[0] , do something like

for key,value in row.items():
    if key == 'URL' and '#' in value or 'fbid' in value
        new_value = value.split('#')[0]  # <-- here save the result of split in new_value
        row[key] = new_value             # <-- here update the dict row
 print row                               # instead of print each time, print it once at the end of the operation

this can be simplify to

if '#fbid' in row['URL']:
    row['URL'] = row['URL'].split('#fbid')[0]

because it only check for one key.

example

>>> row={'Pageviews_Aug':'145', 'URL':'http://www.domain.com/#fbid=12345'}
>>> if "#fbid" in row["URL"]:
        row["URL"] = row['URL'].split("#fbid")[0]


>>> row
{'Pageviews_Aug': '145', 'URL': 'http://www.domain.com/'}
>>>