text-pair | High-performance text aligner for large collections of texts | Data Manipulation library
kandi X-RAY | text-pair Summary
kandi X-RAY | text-pair Summary
"Nous ne faisons que nous entregloser" Montaigne wrote famously in his Essais... Since all we do is glose over what's already been written, we may as well build a tool to detect these intertextual relationships...
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Top functions reviewed by kandi - BETA
- Run vsa
- Return an iterator over the key value pairs
- Given a list of Matches return a mapping of docstrings
- Get text from file
- Aligns two source files
- Get text from start_byte to end_byte
- Builds a map from the given total value
- Convert alignment to text
- Get metadata from all TEI files
- Converts a text object into a Ngram
- Retrieve all possible passage pairs
- Parse a single file
- Count the number of results from the database
- Gets the text body of all files
- Extract fields from a JSON file
- Compares the source collection against the source collection
- Compute the outer similarity between two source corpus
- Create a web application
- Generate time series
- Generate a model
- Parse TEI configuration file
- Extract text chunks from the text
- Parse the TEI header
- Returns the list of alignments
- Retrieve all documents
- Return faceted facets
text-pair Key Features
text-pair Examples and Code Snippets
Community Discussions
Trending Discussions on Data Manipulation
QUESTION
I am working with the R programming language.
I have the following dataset:
...ANSWER
Answered 2022-Apr-10 at 05:36Up front, "1,3,4" != 1. It seems you should look to split the strings using strsplit(., ",").
QUESTION
I've the following table
Owner Pet Housing_Type A Cats;Dog;Rabbit 3 B Dog;Rabbit 2 C Cats 2 D Cats;Rabbit 3 E Cats;Fish 1The code is as follows:
...ANSWER
Answered 2022-Mar-15 at 08:48One approach is to define a helper function that matches for a specific animal, then bind the columns to the original frame.
Note that some wrangling is done to get rid of whitespace to identify the unique animals to query.
QUESTION
I have this data frame:
...ANSWER
Answered 2022-Mar-10 at 04:12We can use stri_replace_all_regex to replace your color_1 into integers together with the arithmetic operator.
Here I've stored your values into a vector color_1_convert. We can use this as the input in stri_replace_all_regex for better management of the values.
QUESTION
I have a database with columns M1, M2 and M3. These M values correspond to the values obtained by each method. My idea is now to make a rank column for each of them. For M1 and M2, the rank will be from the highest value to the lowest value and M3 in reverse. I made the output table for you to see.
ANSWER
Answered 2022-Mar-07 at 14:15Using rank and relocate:
QUESTION
I working on a Python project that has a DataFrame like this:
...ANSWER
Answered 2022-Feb-24 at 20:48You could use the idxmax method on axis:
QUESTION
I would like to know of a fast/efficient way in any program (awk/perl/python) to split a csv file (say 10k columns) into multiple small files each containing 2 columns. I would be doing this on a unix machine.
...ANSWER
Answered 2021-Dec-12 at 05:22With your show samples, attempts; please try following awk code. Since you are opening files all together it may fail with infamous "too many files opened error" So to avoid that have all values into an array and in END block of this awk code print them one by one and I am closing them ASAP all contents are getting printed to output file.
QUESTION
Good afternoon, friends!
I'm currently performing some calculations in R (df is displayed below). My goal is to display in a new column the first non-null value from selected cells for each row.
My df is:
...ANSWER
Answered 2022-Feb-03 at 11:16One option with dplyr could be:
QUESTION
I am again struggling with transforming a wide df into a long one using pivot_longer The data frame is a result of power analysis for different effect sizes and sample sizes, this is how the original df looks like:
ANSWER
Answered 2022-Feb-03 at 10:59library(tidyverse)
example %>%
pivot_longer(cols = starts_with("es"), names_to = "type", names_prefix = "es_", values_to = "es") %>%
pivot_longer(cols = starts_with("pwr"), names_to = "pwr", names_prefix = "pwr_") %>%
filter(substr(type, 1, 3) == substr(pwr, 1, 3)) %>%
mutate(pwr = parse_number(pwr)) %>%
arrange(pwr, es, type)
QUESTION
Suppose I have the following 10 variables (num_var_1, num_var_2, num_var_3, num_var_4, num_var_5, factor_var_1, factor_var_2, factor_var_3, factor_var_4, factor_var_5):
...ANSWER
Answered 2021-Dec-26 at 10:11You may define a function FUN(n) that creates a data set as shown in OP.
QUESTION
I am trying to tidy up some data that is all contained in 1 column called "game_info" as a string. This data contains college basketball upcoming game data, with the Date, Time, Team IDs, Team Names, etc. Ideally each one of those would be their own column. I have tried separating with a space delimiter, but that has not worked well since there are teams such as "Duke" with 1 part to their name, and teams with 2 to 3 parts to their name (Michigan State, South Dakota State, etc). There also teams with "-" dashes in their name.
Here is my data:
...ANSWER
Answered 2021-Dec-16 at 15:25Here's one with regex. See regex101 link for the regex explanations
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install text-pair
Python 3.6 and up
Node and NPM
PostgreSQL: you will need to create a dedicated database and create a user with read/write permissions on that database. You will also need to create the pg_trgm extension on that database by running the following command in the PostgreSQL shell: CREATE EXTENSION pg_trgm; run as a superuser.
A running instance of Apache with mod_wsgi configured
Run install.sh script. This should install all needed components
Make sure you include /etc/text-pair/apache_wsgi.conf in your main Apache configuration file to enable searching
Edit /etc/text-pair/global_settings.ini to provide your PostgreSQL user, database, and password.
You can also install the artfl/textpair Docker image from Dockerhub. Note that it also comes with PhiloLogic preinstalled. When starting a container, you need to provide a volume for mounted at /data. If you also wish to build your TextPAIR alignments from PhiloLogic databases, you will also need to provide a mountpoint for the philologic directory.
Before running any alignment, make sure you edit your copy of config.ini. See below for details. The sequence aligner is executed via the textpair command.
--config: path to the configuration file where preprocessing, matching, and web application settings are set
--source_files: path to source files
--source_metadata: path to source metadata. Only define if not using a PhiloLogic database.
--target_files: path to target files. Only define if not using a PhiloLogic database.
--target_metadata: path to target metadata
--is_philo_db: Define if files are from a PhiloLogic database. If set to True metadata will be fetched using the PhiloLogic metadata index. Set to False by default.
--output_path: path to results
--debug: turn on debugging
--workers: Set number of workers/threads to use for parsing, ngram generation, and alignment.
--load_web_app: Define whether to load results into a database viewable via a web application. Set to True by default.
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