patterns-finder
Simple, Fast, Powerful and Easily extensible python package for extracting patterns from text, with over than 60 predefined Regular Expressions.
This library offers the capabilities:
- A set of predefined patterns with the most useful regex.
- Extend the patterns, by adding user defined regex.
- Find and extarct patterns from text
- Pandas' Dataframe support.
- Sort the results of extraction.
- Summarize the results of extraction.
- Display extractions by visualy rich text annotation.
- Build complex extraction rules based on regex (in future release).
Installation
To install the last version of patterns-finder library, use pip:
pip install patterns-finder
Usage
Find a pattern in the text
Just import patterns, like emoji from patterns_finder.patterns.web, then you can use them to find pattern in text:
from patterns_finder.patterns.web import emoji, url, email
emoji.find("the quick #A52A2A 🦊 jumped 3 times over the lazy 🐶 ")
# Output:
# [(18, 19, 'EMOJI', '🦊'), (49, 50, 'EMOJI', '🐶')]
url.find("The lazy 🐶 has a website https://lazy.dog.com ")
# Output:
# [(25, 45, 'URL', 'https://lazy.dog.com')]
email.find("[email protected] is the email of 🦊 ")
# Output:
# [(0, 19, 'EMAIL', '[email protected]')]
The results provided by the method find for each of pattern are in the form:
[(0, 19, 'EMAIL', '[email protected]')]
^ ^ ^ ^
| | | |
Offset | └ Text matching the pattern
| | └ Label of the pattern
| └ End index
└ Start index in the text
Find multiple patterns in the text
To search for different patterns in the text we can use the method finder.patterns_in_text(text, patterns) as follows:
from patterns_finder import finder
from patterns_finder.patterns.web import emoji, url, color_hex
from patterns_finder.patterns.number import integer
patterns = [emoji, color_hex, integer]
text = "the quick #A52A2A 🦊 jumped 3 times over the lazy 🐶 "
finder.patterns_in_text(text, patterns)
# Output:
# [(18, 19, 'EMOJI', '🦊'),
# (49, 50, 'EMOJI', '🐶'),
# (10, 17, 'COLOR_HEX', '#A52A2A'),
# (12, 14, 'INTEGER', '52'),
# (15, 16, 'INTEGER', '2'),
# (27, 28, 'INTEGER', '3')]
Find user defined patterns in the text
To define new pattern you can use any regex pattern that are supported by the regex and re packages of python. User defined patterns can be writen in the form of string regex pattern or tuple of string ('regex pattern', 'label').
patterns = [web.emoji, "quick|lazy", ("\\b[a-zA-Z]+\\b", "WORD") ]
text = "the quick #A52A2A 🦊 jumped 3 times over the lazy 🐶 "
finder.patterns_in_text(text, patterns)
# Output:
# [(18, 19, 'EMOJI', '🦊'),
# (49, 50, 'EMOJI', '🐶'),
# (4, 9, 'quick|lazy', 'quick'),
# (44, 48, 'quick|lazy', 'lazy'),
# (0, 3, 'WORD', 'the'),
# (4, 9, 'WORD', 'quick'),
# (20, 26, 'WORD', 'jumped'),
# (29, 34, 'WORD', 'times'),
# (35, 39, 'WORD', 'over'),
# (40, 43, 'WORD', 'the'),
# (44, 48, 'WORD', 'lazy')]
Sort extraxted patterns
By using the argument sort_by of the method finder.patterns_in_text we can sort the extraction accoring to different options:
sort_by=finder.STARTsorts the results by the start index in the text
patterns = [web.emoji, color_hex, ('\\b[a-zA-Z]+\\b', 'WORD') ]
finder.patterns_in_text(text, patterns, sort_by=finder.START)
# Output:
# [(0, 3, 'WORD', 'the'),
# (4, 9, 'WORD', 'quick'),
# (10, 17, 'COLOR_HEX', '#A52A2A'),
# (18, 19, 'EMOJI', '🦊'),
# (20, 26, 'WORD', 'jumped'),
# (29, 34, 'WORD', 'times'),
# (35, 39, 'WORD', 'over'),
# (40, 43, 'WORD', 'the'),
# (44, 48, 'WORD', 'lazy'),
# (49, 50, 'EMOJI', '🐶')]
sort_by=finder.ENDsorts the results by the end index in the text
finder.patterns_in_text(text, patterns, sort_by=finder.END)
# Output:
# [(0, 3, 'WORD', 'the'),
# (4, 9, 'WORD', 'quick'),
# (10, 17, 'COLOR_HEX', '#A52A2A'),
# (18, 19, 'EMOJI', '🦊'),
# (20, 26, 'WORD', 'jumped'),
# (29, 34, 'WORD', 'times'),
# (35, 39, 'WORD', 'over'),
# (40, 43, 'WORD', 'the'),
# (44, 48, 'WORD', 'lazy'),
# (49, 50, 'EMOJI', '🐶')]
sort_by=finder.LABELsorts the results by pattern's label
finder.patterns_in_text(text, patterns, sort_by=finder.LABEL)
# Output:
# [(10, 17, 'COLOR_HEX', '#A52A2A'),
# (18, 19, 'EMOJI', '🦊'),
# (49, 50, 'EMOJI', '🐶'),
# (0, 3, 'WORD', 'the'),
# (4, 9, 'WORD', 'quick'),
# (20, 26, 'WORD', 'jumped'),
# (29, 34, 'WORD', 'times'),
# (35, 39, 'WORD', 'over'),
# (40, 43, 'WORD', 'the'),
# (44, 48, 'WORD', 'lazy')]
sort_by=finder.TEXTsorts the results by the extracted text
finder.patterns_in_text(text, patterns, sort_by=finder.TEXT)
# Output:
# [(10, 17, 'COLOR_HEX', '#A52A2A'),
# (20, 26, 'WORD', 'jumped'),
# (44, 48, 'WORD', 'lazy'),
# (35, 39, 'WORD', 'over'),
# (4, 9, 'WORD', 'quick'),
# (0, 3, 'WORD', 'the'),
# (40, 43, 'WORD', 'the'),
# (29, 34, 'WORD', 'times'),
# (49, 50, 'EMOJI', '🐶'),
# (18, 19, 'EMOJI', '🦊')]
Summarize results of extraction
By using the argument summary_type, one can choose the desired form of output results.
summary_type=finder.NONEretruns a list with all details, without summarization.
patterns = [ color_hex, ('\\b[a-zA-Z]+\\b', 'WORD'), web.emoji ]
finder.patterns_in_text(text, patterns, summary_type=finder.NONE)
# Output:
# [(10, 17, 'COLOR_HEX', '#A52A2A'),
# (0, 3, 'WORD', 'the'),
# (4, 9, 'WORD', 'quick'),
# (20, 26, 'WORD', 'jumped'),
# (29, 34, 'WORD', 'times'),
# (35, 39, 'WORD', 'over'),
# (40, 43, 'WORD', 'the'),
# (44, 48, 'WORD', 'lazy'),
# (18, 19, 'EMOJI', '🦊'),
# (49, 50, 'EMOJI', '🐶')]
summary_type=finder.LABEL_TEXT_OFFSETreturns a dictionary of patterns labels as keys, with the corresponding offsets and text as values.
finder.patterns_in_text(text, patterns, summary_type=finder.LABEL_TEXT_OFFSET)
# Output:
# {
# 'COLOR_HEX': [[10, 17, '#A52A2A']],
# 'WORD': [[0, 3, 'the'], [4, 9, 'quick'], [20, 26, 'jumped'], [29, 34, 'times'], [35, 39, 'over'], [40, 43, 'the'], [44, 48, 'lazy']],
# 'EMOJI': [[18, 19, '🦊'], [49, 50, '🐶']]
# }
summary_type=finder.LABEL_TEXTreturns a dictionary of patterns labels as keys, with the corresponding text (without offset) as values.
finder.patterns_in_text(text, patterns, summary_type=finder.LABEL_TEXT)
# Output:
# {
# 'COLOR_HEX': ['#A52A2A'],
# 'WORD': ['the', 'quick', 'jumped', 'times', 'over', 'the', 'lazy'],
# 'EMOJI': ['🦊', '🐶']
# }
summary_type=finder.TEXT_ONLYreturns a list of the extracted text only.
finder.patterns_in_text(text, patterns, summary_type=finder.TEXT_ONLY)
# Output:
# ['#A52A2A', 'the', 'quick', 'jumped', 'times', 'over', 'the', 'lazy', '🦊', '🐶']
Extract patterns from Pandas DataFrame
This package provides the capability to extract patterns from Pandas' DataFrame easily, by using the method finder.patterns_in_df(df, input_col, output_col, patterns, ...).
from patterns_finder import finder
from patterns_finder.patterns import web
import pandas as pd
patterns = [web.email, web.emoji, web.url]
df = pd.DataFrame(data={
'text': ["the quick #A52A2A 🦊 jumped 3 times over the lazy 🐶",
"[email protected] is the email of 🦊",
"The lazy 🐶 has a website https://lazy.dog.com"],
})
finder.patterns_in_df(df, "text", "extraction", patterns, summary_type=finder.LABEL_TEXT)
# Output:
# | | text | extraction |
# |---:|:-----------------------------------------------------|:----------------------------------------------------|
# | 0 | the quick #A52A2A 🦊 jumped 3 times over the lazy 🐶 | {'EMOJI': ['🦊', '🐶']} |
# | 1 | [email protected] is the email of 🦊 | {'EMAIL': ['[email protected]'], 'EMOJI': ['🦊']} |
# | 2 | The lazy 🐶 has a website https://lazy.dog.com | {'EMOJI': ['🐶'], 'URL': ['https://lazy.dog.com']} |
The method finder.patterns_in_df have also the arguments summary_type and sort_by.
List of all predefined patterns
- Web
from patterns_finder.web import email, url, uri, mailto, html_link, sql, color_hex, copyright, alphanumeric, emoji, username, quotation, ipv4, ipv6
- Phone
from patterns_finder.phone import generic, uk, us
- Credit Cards
from patterns_finder.credit_card import generic, visa, mastercard, discover, american_express
- Numbers
from patterns_finder.number import integer, float, scientific, hexadecimal, percent, roman
- Currency
from patterns_finder.currency import monetary, symbol, code, name
- Languages
from patterns_finder.language import english, french, spanish, arabic, hebrew, turkish, russian, german, chinese, greek, japanese, hindi, bangali, armenian, swedish, portoguese, balinese, georgian
- Time and Date
from patterns_finder.time_date import time, date, year
- Postal Code
from patterns_finder.postal_code import us, canada, uk, france, spain, switzerland, brazilian
Contact
Please email your questions or comments to me.
4.8k Dec 30, 2022
70 Dec 26, 2022
357 Dec 24, 2022
1 Oct 5, 2021
10 Oct 21, 2022
186 Dec 24, 2022
1k Dec 30, 2022
40 Sep 19, 2022
43 Dec 28, 2022
37 Nov 06, 2022
3 Jan 12, 2022
1 Oct 22, 2021
16 Nov 24, 2022
94 Dec 25, 2022
2 Jan 21, 2022
8 Dec 25, 2022
12.9k Jan 07, 2023
847 Dec 19, 2022
8 Oct 13, 2022
142 Jan 06, 2023
129 Dec 17, 2022
1 Jun 14, 2022
77.3k Jan 03, 2023
17 Dec 19, 2022
1.6k Jan 05, 2023
2 Feb 22, 2022
1 Feb 07, 2022
98 Nov 24, 2022