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How to find a date at a specific word using regex

Sentence : "I went to hospital and admitted. Date of admission: 12/08/2019 and surgery of Date of surgery: 15/09/2015. Date of admission: 12/05/2018 is admitted Raju"
keyword: "Date of admission:"
Required solution: 12/08/2019,12/05/2018
Is there any solution to get the dates near "Date of admission:" only. Is there any solution

I was unable to reproduce the result in the answer by #Ders. Plus I think .findall() is more appropriate here anyway, so:
import re
pattern = re.compile(r"Date of admission: (\d{2}/\d{2}/\d{4})")
print(pattern.findall(s))
# ['12/08/2019', '12/05/2018']

Use a capturing group. If the re matches, then you can get the contents of the group.
import re
p = re.compile("Date of admission: (\d{2}/\d{2}/\d{4})")
m = p.match(s)
date = m.group(1)
# 12/08/2019

Extracting #mentions from tweets using findall python (Giving incorrect results)

I have a csv file something like this
text
RT #CritCareMed: New Article: Male-Predominant Plasma Transfusion Strategy for Preventing Transfusion-Related Acute Lung Injury... htp://…
#CRISPR Inversion of CTCF Sites Alters Genome Topology & Enhancer/Promoter Function in #CellCellPress htp://.co/HrjDwbm7NN
RT #gvwilson: Where's the theory for software engineering? Behind a paywall, that's where. htp://.co/1t3TymiF3M #semat #fail
RT #sciencemagazine: What’s killing off the sea stars? htp://.co/J19FnigwM9 #ecology
RT #MHendr1cks: Eve Marder describes a horror that is familiar to worm connectome gazers. htp://.co/AEqc7NOWoR via #nucAmbiguous htp://…
I want to extract all the mentions (starting with '#') from the tweet text. So far I have done this
import pandas as pd
import re
mydata = pd.read_csv("C:/Users/file.csv")
X = mydata.ix[:,:]
X=X.iloc[:,:1] #I have multiple columns so I'm selecting the first column only that is 'text'
for i in range(X.shape[0]):
result = re.findall("(^|[^#\w])#(\w{1,25})", str(X.iloc[:i,:]))
print(result);
There are two problems here:
First: at str(X.iloc[:1,:]) it gives me ['CritCareMed'] which is not ok as it should give me ['CellCellPress'], and at str(X.iloc[:2,:]) it again gives me ['CritCareMed'] which is of course not fine again. The final result I'm getting is
[(' ', 'CritCareMed'), (' ', 'gvwilson'), (' ', 'sciencemagazine')]
It doesn't include the mentions in 2nd row and both two mentions in last row.
What I want should look something like this:
How can I achieve these results? this is just a sample data my original data has lots of tweets so is the approach ok?

You can use str.findall method to avoid the for loop, use negative look behind to replace (^|[^#\w]) which forms another capture group you don't need in your regex:
df['mention'] = df.text.str.findall(r'(?<![#\w])#(\w{1,25})').apply(','.join)
df
# text mention
#0 RT #CritCareMed: New Article: Male-Predominant... CritCareMed
#1 #CRISPR Inversion of CTCF Sites Alters Genome ... CellCellPress
#2 RT #gvwilson: Where's the theory for software ... gvwilson
#3 RT #sciencemagazine: What’s killing off the se... sciencemagazine
#4 RT #MHendr1cks: Eve Marder describes a horror ... MHendr1cks,nucAmbiguous
Also X.iloc[:i,:] gives back a data frame, so str(X.iloc[:i,:]) gives you the string representation of a data frame, which is very different from the element in the cell, to extract the actual string from the text column, you can use X.text.iloc[0], or a better way to iterate through a column, use iteritems:
import re
for index, s in df.text.iteritems():
result = re.findall("(?<![#\w])#(\w{1,25})", s)
print(','.join(result))
#CritCareMed
#CellCellPress
#gvwilson
#sciencemagazine
#MHendr1cks,nucAmbiguous

While you already have your answer, you could even try to optimize the whole import process like so:
import re, pandas as pd
rx = re.compile(r'#([^:\s]+)')
with open("test.txt") as fp:
dft = ([line, ",".join(rx.findall(line))] for line in fp.readlines())
df = pd.DataFrame(dft, columns = ['text', 'mention'])
print(df)
Which yields:
text mention
0 RT #CritCareMed: New Article: Male-Predominant... CritCareMed
1 #CRISPR Inversion of CTCF Sites Alters Genome ... CellCellPress
2 RT #gvwilson: Where's the theory for software ... gvwilson
3 RT #sciencemagazine: What’s killing off the se... sciencemagazine
4 RT #MHendr1cks: Eve Marder describes a horror ... MHendr1cks,nucAmbiguous
This might be a bit faster as you don't need to change the df once it's already constructed.

mydata['text'].str.findall(r'(?:(?<=\s)|(?<=^))#.*?(?=\s|$)')
Same as this: Extract hashtags from columns of a pandas dataframe, but for mentions.
#.*? carries out a non-greedy match for a word starting
with a hashtag
(?=\s|$) look-ahead for the end of the word or end of the sentence
(?:(?<=\s)|(?<=^)) look-behind to ensure there are no false positives if a # is used in the middle of a word
The regex lookbehind asserts that either a space or the start of the sentence must precede a # character.

Replace word between two substrings (keeping other words)

I'm trying to replace a word (e.g. on) if it falls between two substrings (e.g. <temp> & </temp>) however other words are present which need to be kept.
string = "<temp>The sale happened on February 22nd</temp>"
The desired string after the replace would be:
Result = <temp>The sale happened {replace} February 22nd</temp>
I've tried using regex, I've only been able to figure out how to replace everything lying between the two <temp> tags. (Because of the .*?)
result = re.sub('<temp>.*?</temp>', '{replace}', string, flags=re.DOTALL)
However on may appear later in the string not between <temp></temp> and I wouldn't want to replace this.

re.sub('(<temp>.*?) on (.*?</temp>)', lambda x: x.group(1)+" <replace> "+x.group(2), string, flags=re.DOTALL)
Output:
<temp>The sale happened <replace> February 22nd</temp>
Edit:
Changed the regex based on suggestions by Wiktor and HolyDanna.
P.S: Wiktor's comment on the question provides a better solution.

Try lxml:
from lxml import etree
root = etree.fromstring("<temp>The sale happened on February 22nd</temp>")
root.text = root.text.replace(" on ", " {replace} ")
print(etree.tostring(root, pretty_print=True))
Output:
<temp>The sale happened {replace} February 22nd</temp>

Parsing file name with RegEx - Python

I'm trying to get the "real" name of a movie from its name when you download it.
So for instance, I have
Star.Wars.Episode.4.A.New.Hope.1977.1080p.BrRip.x264.BOKUTOX.YIFY
and would like to get
Star Wars Episode 4 A New Hope
So I'm using this regex:
.*?\d{1}?[ .a-zA-Z]*
which works fine, but only for a movie with a number, as in 'Iron Man 3' for example.
I'd like to be able to get movies like 'Interstellar' from
Interstellar.2014.1080p.BluRay.H264.AAC-RARBG
and I currently get
Interstellar 2
I tried several ways, and spent quite a lot of time on it already, but figured it wouldn't hurt asking you guys if you had any suggestion/idea/tip on how to do it...
Thanks a lot!

Given your examples and assuming you always download in 1080p (or know that field's value):
x = 'Interstellar.2014.1080p.BluRay.H264.AAC-RARBG'
y = x.split('.')
print " ".join(y[:y.index('1080p')-1])
Forget the regex (for now anyway!) and work with the fixed field layout. Find a field you know (1080p) and remove the information you don't want (the year). Recombine the results and you get "Interstellar" and "Star Wars Episode 4 A New Hope".

The following regex would work (assuming the format is something like moviename.year.1080p.anything or moviename.year.720p.anything:
.*(?=.\d{4}.*\d{3,}p)
Regex example (try the unit tests to see the regex in action)
Explanation:

\.(?=.*?(?:19|20)\d{2}\b)|(?:19|20)\d{2}\b.*$
Try this with re.sub.See demo.
https://regex101.com/r/hR7tH4/10
import re
p = re.compile(r'\.(?=.*?(?:19|20)\d{2}\b)|(?:19|20)\d{2}\b.*$', re.MULTILINE)
test_str = "Star.Wars.Episode.4.A.New.Hope.1977.1080p.BrRip.x264.BOKUTOX.YIFY\nInterstellar.2014.1080p.BluRay.H264.AAC-RARBG\nIron Man 3"
subst = " "
result = re.sub(p, subst, test_str)

Assuming, there is always a four-digit-year, or a four-digit-resolution notation within the movie's file name, a simple solution replaces the not-wanted parts as this:
"(?:\.|\d{4,4}.+$)"
by a blank, strip()'ing them afterwards ...
For example:
test1 = "Star.Wars.Episode.4.A.New.Hope.1977.1080p.BrRip.x264.BOKUTOX.YIFY"
test2 = "Interstellar.2014.1080p.BluRay.H264.AAC-RARBG"
res1 = re.sub(r"(?:\.|\d{4,4}.+$)",' ',test1).strip()
res2 = re.sub(r"(?:\.|\d{4,4}.+$)",' ',test2).strip()
print(res1, res2, sep='\n')
>>> Star Wars Episode 4 A New Hope
>>> Interstellar

Error: match word in file

There are two sentences in "test_tweet1.txt"
#francesco_con40 2nd worst QB. DEFINITELY Tony Romo. The man who likes to share the ball with everyone. Including the other team.
#mariakaykay aga tayo tomorrow ah. :) Good night, Ces. Love you! >:D<
In "Personal.txt"
The Game (rapper)
The Notorious B.I.G.
The Undertaker
Thor
Tiësto
Timbaland
T.I.
Tom Cruise
Tony Romo
Trajan
Triple H
My codes:
import re
popular_person = open('C:/Users/Personal.txt')
rpopular_person = popular_person.read()
file1 = open("C:/Users/test_tweet1.txt").readlines()
array = []
count1 = 0
for line in file1:
array.append(line)
count1 = count1 + 1
print "\n",count1, line
ltext1 = line.split(" ")
for i,text in enumerate(ltext1):
if text in rpopular_person:
print text
text2 = ' '.join(ltext1)
Results from the codes showed:
1 #francesco_con40 2nd worst QB. DEFINITELY Tony Romo. The man who likes to share the ball with everyone. Including the other team.
Tony
The
man
to
the
the
2 #mariakaykay aga tayo tomorrow ah. :) Good night, Ces. Love you! >:D<
aga
I tried to match word from "test_tweet1.txt" with "Personal.txt".
Expected result:
Tony
Romo
Any suggestion?

Your problem seems to be that rpopular_person is just a single string. Therefore, when you ask things like 'to' in rpopular_person, you get a value of True, because the characters 't', 'o' appear in sequence. I am assuming that the same goes for 'the' elsewhere in Personal.txt.
What you want to do is split up Personal.txt into individual words, the way you're splitting your tweets. You can also make the resulting list of words into a set, since that'll make your lookup much faster. Something like this:
people = set(popular_person.read().split())
It's also worth noticing that I'm calling split(), with no arguments. This splits on all whitespace--newlines, tabs, and so on. This way you get everything separately like you intend. Or, if you don't actually want this (since this will give you results of "The" all the time based on your edited contents of Personal.txt), make it:
people = set(popular_person.read().split('\n'))
This way you split on newlines, so you only look for full name matches.
You're not getting "Romo" because that's not a word in your tweet. The word in your tweet is "Romo." with a period. This is very likely to remain a problem for you, so what I would do is rearrange your logic (assuming speed isn't an issue). Rather than looking at each word in your tweet, look at each name in your Personal.txt file, and see if it's in your full tweet. This way you don't have to deal with punctuation and so on. Here's how I'd rewrite your functionality:
rpopular_person = set(personal.split())
with open("Personal.txt") as p:
people = p.read().split('\n') # Get full names rather than partial names
with open("test_tweet1.txt") as tweets:
for tweet in tweets:
for person in people:
if person in tweet:
print person

you need to split rpopular_person to get it to match words instead of substrings
rpopular_person = open('C:/Users/Personal.txt').read().split()
this gives:
Tony
The
the reason Romo isn't showing up is that on your line split you have "Romo." Maybe you should look for rpopular_person in the lines, instead of the other way around. Maybe something like this
popular_person = open('C:/Users/Personal.txt').read().split("\n")
file1 = open("C:/Users/test_tweet1.txt")
array = []
for count1, line in enumerate(file1):
print "\n", count1, line
for person in popular_person:
if person in line:
print person