Mon Apr 27 18:12:54 '<rdpDirect> ITC\109975#win_itsskdcbkp2_10.18.2.104
Mon Apr 27 18:14:31 '<rdpDirect> JDAWMSAPPDEV\VINOTHKUMAR#win_jdawmsappdev_10.10.45.172
Mon Apr 27 18:14:32 '<rdpDirect> JDAWMSAPPDEV\VINOTHKUMAR#win_jdawmsappdev_10.10.45.172
Mon Apr 27 18:24:21 '<rdpDirect> SAAMARTHA\UITSMUSR#win_saamarthaad_10.10.45.147
Mon Apr 27 18:24:21 '<rdpDirect> SAAMARTHA\UITSMUSR#win_saamarthaad_10.10.45.147
From the above text, need to search user name which is mentioned between the "\" and "#" sign. This can be numeric, characters, or alphanumeric.
eg: in the above example, 109975, VINOTHKUMAR, UITSMUSR etc.
Search for the group with zero or more characters within \ and # character.
import re
data = "Mon Apr 27 18:12:54 ' ITC\\109975#win_itsskdcbkp2_10.18.2.104 Mon Apr 27 18:14:31 ' JDAWMSAPPDEV\\VINOTHKUMAR#win_jdawmsappdev_10.10.45.172 Mon Apr 27 18:14:32 ' JDAWMSAPPDEV\\VINOTHKUMAR#win_jdawmsappdev_10.10.45.172 Mon Apr 27 18:24:21 ' SAAMARTHA\\UITSMUSR#win_saamarthaad_10.10.45.147 Mon Apr 27 18:24:21 ' SAAMARTHA\\UITSMUSR#win_saamarthaad_10.10.45.147"
usernames = re.findall(r"\\(.*?)#", data)
print(usernames)
Output:
['109975', 'VINOTHKUMAR', 'VINOTHKUMAR', 'UITSMUSR', 'UITSMUSR']
re.findall() method returns list of non overlapping occurrences of the searched string. More can be read in the official documentation of findall method.
A simple regex should do the job. You can try \\(.*?)\#.
This "captures" text between \ and #
buffer = '''
Mon Apr 27 18:12:54 ' ITC\\19975#win_itsskdcbkp2_10.18.2.104 Mon Apr 27 18:14:31 ' JDAWMSAPPDEV\\VINOTHKUMAR#win_jdawmsappdev_10.10.45.172 Mon Apr 27 18:14:32 ' JDAWMSAPPDEV\\VINOTHKUMAR#win_jdawmsappdev_10.10.45.172 Mon Apr 27 18:24:21 ' SAAMARTHA\\UITSMUSR#win_saamarthaad_10.10.45.147 Mon Apr 27 18:24:21 ' SAAMARTHA\\UITSMUSR#win_saamarthaad_10.10.45.147'''
import re
print(re.findall('\\\([\d\w\W]+?)#', buffer))
['19975', 'VINOTHKUMAR', 'VINOTHKUMAR', 'UITSMUSR', 'UITSMUSR']
Related
Existing Df :
Id dates
01 ['ATIVE 04/2018 to 03/2020',' XYZ mar 2020 – Jul 2022','June 2021 - 2023 XYZ']
Expected Df :
Id dates
01 ['04/2018 to 03/2020','mar 2020 – Jul 2022','June 2021 - 2023']
I am looking to clean the List under the dates column. i tried it with below function but doesn't serve the purpose. Any leads on the same..?
def clean_dates_list(dates_list):
cleaned_dates_list = []
for date_str in dates_list:
cleaned_date_str = re.sub(r'[^A-Za-z\s\d]+', '', date_str)
cleaned_dates_list.append(cleaned_date_str)
return cleaned_dates_list
ls = ['ATIVE 04/2018 to 03/2020', ' XYZ mar 2020 – Jul 2022', 'June 2021 - 2023 XYZ']
ls_to_remove = ['ATIVE', 'XYZ']
for item in ls:
ls_str = item.split()
new_item = str()
for item in ls_str:
if item in ls_to_remove:
continue
new_item += " " + item
print(new_item)
I don't know your list of words to remove and it's not a good practice. But in your case it works.
I have the following dataset
id
date
7510
15 Jun 2020
7510
16 Jun 2020
7512
15 Jun 2020
7512
07 Jul 2020
7520
15 Jun 2020
7520
16 Aug 2020
I need to convert this to a dictionary which is quite straight forward, but need each unique id as a key and all corresponding values as values to the unique key.
for example;
dictionary = {7510: ["15 Jun 2020", "16 Jun 2020"], 7512: ["15 Jun 2020", "07 Jul 2020"],
7520: ["15 Jun 2020", "16 Aug 2020"] }
Try this:
df.groupby('id')['date'].agg(list).to_dict()
Output:
{7510: ['15 Jun 2020', '16 Jun 2020'],
7512: ['15 Jun 2020', '07 Jul 2020'],
7520: ['15 Jun 2020', '16 Aug 2020']}
Tue Aug 21 17:02:26 2018 (gtgrhrthrhrhrthhhthrthrhrh)
fjfpjpgporejpejgjr[eh[[[jh[j[ej[[ej[ej[e]]]]
fkw[kgkeg[ekrk[ekg[kergk[erkg[eg[kg]
Tue Aug 21 17:31:06 2018 ( ijwejfwfjwpfjwf[[few[jjfwfefwfeffeww]]
fiowhfiweohewhfpwfhpfhpepwehfphpwhfpehfpwfh
f,wfpewfefewgpwpg,pewgp
Tue Aug 21 18:10:42 2018 ( reijpjfpjejferjfrejfpjefjer
k[pfk[epkf[kr[ek[ke[gkk]
r[g[keprkgpekg[rkg[pkg[ekg]
Above is an example of the content in the text file. I want to extract a string with re.
How should I construct the findall condition to achieve the expected result below? I have tried the following:
match=re.findall(r'[Tue\w]+2018$',data2)
but it is not working. I understand that $ is the symbol for the end of the string. How can I do it?
Expected Result is:
Tue Aug 21 17:02:26 2018
Tue Aug 21 17:31:06 2018
Tue Aug 21 18:10:42 2018
.
.
.
Use the pattern:
^Tue.*?2018
^ Assert position beginning of line.
Tue Literal substring.
.*? Match anything lazily.
2018 Match literal substring.
Since you are working with a multiline string and you want to match pattern at the beginning of a string, you have to use the re.MULTILINE flag.
import re
mystr="""
Tue Aug 21 17:02:26 2018 (gtgrhrthrhrhrthhhthrthrhrh)
fjfpjpgporejpejgjr[eh[[[jh[j[ej[[ej[ej[e]]]]
fkw[kgkeg[ekrk[ekg[kergk[erkg[eg[kg]
Tue Aug 21 17:31:06 2018 ( ijwejfwfjwpfjwf[[few[jjfwfefwfeffeww]]
fiowhfiweohewhfpwfhpfhpepwehfphpwhfpehfpwfh
f,wfpewfefewgpwpg,pewgp
Tue Aug 21 18:10:42 2018 ( reijpjfpjejferjfrejfpjefjer
k[pfk[epkf[kr[ek[ke[gkk]
r[g[keprkgpekg[rkg[pkg[ekg]
"""
print(re.findall(r'^Tue.*?2018',mystr,re.MULTILINE))
Prints:
['Tue Aug 21 17:02:26 2018', 'Tue Aug 21 17:31:06 2018', 'Tue Aug 21 18:10:42 2018']
I have large file contain multiple lines but in some line having unique pattern, I want to split our large file based on this pattern.
Below data in text file:
commit e6bcab96ffe1f55e80be8d0c1e5342fb9d69ca30
Date: Sat Jun 9 04:11:37 2018 +0530
configurations
commit 5c8deb3114b4ed17c5d2ea31842869515073670f
Date: Sat Jun 9 02:59:56 2018 +0530
remote
commit 499516b7e4f95daee4f839f34cc46df404b52d7a
Date: Sat Jun 9 02:52:51 2018 +0530
remote fix
This reverts commit 0a2917bd49eec7ca2f380c890300d75b69152353.
commit 349e1b42d3b3d23e95a227a1ab744fc6167e6893
Date: Sat Jun 9 02:52:37 2018 +0530
Revert "Removing the printf added"
This reverts commit da0fac94719176009188ce40864b09cfb84ca590.
commit 8bfd4e7086ff5987491f280b57d10c1b6e6433fe
Date: Sat Jun 9 02:52:18 2018 +0530
Revert Bulk
This reverts commit c2ee318635987d44e579c92d0b86b003e1d2a076.
commit bcb10c54068602a96d367ec09f08530ede8059ef
Date: Fri Jun 8 19:53:03 2018 +0530
fix crash observed
commit a84169f79fbe9b18702f6885b0070bce54d6dd5a
Date: Fri Jun 8 18:14:21 2018 +0530
Interface PBR
commit 254726fe3fe0b9f6b228189e8a6fe7bdf4aa9314
Date: Fri Jun 8 18:12:10 2018 +0530
Crash observed
commit 18e7106d54e19310d32e8b31d584cec214fb2cb7
Date: Fri Jun 8 18:09:13 2018 +0530
Changes to fix crash
Currently my code as below:
import re
readtxtfile = r'C:\gitlog.txt'
with open(readtxtfile) as fp:
txtrawdata = fp.read()
commits = re.split(r'^(commit|)[ a-zA-Z0-9]{40}$',txtrawdata)
print(commits)
Expected Output:
I want to split above string based on "commit 18e7106d54e19310d32e8b31d584cec214fb2cb7" and convert them into python list.
import re
text = ''' commit e6bcab96ffe1f55e80be8d0c1e5342fb9d69ca30
Date: Sat Jun 9 04:11:37 2018 +0530
configurations
commit 5c8deb3114b4ed17c5d2ea31842869515073670f
Date: Sat Jun 9 02:59:56 2018 +0530
remote
commit 499516b7e4f95daee4f839f34cc46df404b52d7a
Date: Sat Jun 9 02:52:51 2018 +0530
remote fix
This reverts commit 0a2917bd49eec7ca2f380c890300d75b69152353.'''
print(re.split(r'^\s*commit \S*\s*', text, flags=re.MULTILINE))
This outputs:
['', 'Date: Sat Jun 9 04:11:37 2018 +0530\n\n configurations\n', 'Date: Sat Jun 9 02:59:56 2018 +0530\n\n remote\n', 'Date: Sat Jun 9 02:52:51 2018 +0530\n\n remote fix\n This reverts commit 0a2917bd49eec7ca2f380c890300d75b69152353.']
Explanation of this regex in Regex101 here.
groups = re.findall(r'(^\s*commit\s+[a-z0-9]+.*?)(?=^commit|\Z)', data, flags=re.DOTALL|re.MULTILINE)
for g in groups:
print(g)
print('-' * 80)
Prints:
commit e6bcab96ffe1f55e80be8d0c1e5342fb9d69ca30
Date: Sat Jun 9 04:11:37 2018 +0530
configurations
--------------------------------------------------------------------------------
commit 5c8deb3114b4ed17c5d2ea31842869515073670f
Date: Sat Jun 9 02:59:56 2018 +0530
remote
--------------------------------------------------------------------------------
commit 499516b7e4f95daee4f839f34cc46df404b52d7a
Date: Sat Jun 9 02:52:51 2018 +0530
remote fix
This reverts commit 0a2917bd49eec7ca2f380c890300d75b69152353.
--------------------------------------------------------------------------------
...and so on
This will extract the commit shas:
commits = list()
readtxtfile = r'C:\gitlog.txt'
with open(readtxtfile) as fp:
for line in fp:
m = re.match('^commit\s+([a-f0-9]{40})$', line)
if m:
commits.append(m.group(0))
commits is now a list of just the strings of the commit. Now if your gitlog output format changes this will change the matching regex. Make sure you're generating it with --no-abbrev-commit.
I have tried many regex code to extract the date from the emails that has this format but I couldn't:
Date: Tue, 13 Nov 2001 08:41:49 -0800 (PST)
Sent: Thursday, November 08, 2001 10:25 AM
This how it looks like in all emails and I want to extract them both.
Thank you in advance
You can do something like this using this kind of pattern:
Using Python3:
import re
data = "Date: Tue, 13 Nov 2001 08:41:49 -0800 (PST)"
final = re.findall(r"Date: (\w+), ([0-9]+) (\w+) ([0-9]+)", data)
print("{0}, {1}".format(final[0][0], " ".join(final[0][1:])))
print(" ".join(final[0][1:]))
Using Python2:
import re
data = "Date: Tue, 13 Nov 2001 08:41:49 -0800 (PST)"
final = re.findall(r"Date: (\w+), ([0-9]+) (\w+) ([0-9]+)", data)
print "%s, %s" % (final[0][0], " ".join(final[0][1:]))
print " ".join(final[0][1:])
Output:
Tue, 13 Nov 2001
13 Nov 2001
Edit:
A quick answer to the new update of your question, you can do something like this:
import re
email = '''Date: Tue, 13 Nov 2001 08:41:49 -0800 (PST)
Sent: Thursday, November 08, 2001 10:25 AM'''
data = email.split("\n")
pattern = r"(\w+: \w+, [0-9]+ \w+ [0-9]+)|(\w+: \w+, \w+ [0-9]+, [0-9]+)"
final = []
for k in data:
final += re.findall(pattern, k)
final = [j.split(":") for k in final for j in k if j != '']
# Python3
print(final)
# Python2
# print final
Output:
[['Date', ' Tue, 13 Nov 2001'], ['Sent', ' Thursday, November 08, 2001']]
import re
my_email = 'Date: Tue, 13 Nov 2001 08:41:49 -0800 (PST)'
match = re.search(r': (\w{3,3}, \d{2,2} \w{3,3} \d{4,4})', my_email)
print(match.group(1))
I am not regex expert but here is a solution, you can write some tests for that
d = "Date: Tue, 13 Nov 2001 08:41:49 -0800 (PST)"
dates = [re.search('(\d+ \w+ \d+)',date).groups()[0] for date in re.search('(Date: \w+, \d+ \w+ \d+)', d).groups()]
['13 Nov 2001']
Instead of using regex, you can use split() if only extract the same string model:
email_date = "Date: Tue, 13 Nov 2001 08:41:49 -0800 (PST)"
email_date = '%s %s %s %s' % (tuple(email_date.split(' ')[1:5]))
Output:
Tue, 13 Nov 2001