chronic | Chronic is a pure Ruby natural language date parser | Natural Language Processing library

by mojombo Ruby Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | chronic Summary

chronic is a Ruby library typically used in Artificial Intelligence, Natural Language Processing applications. chronic has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Chronic is a natural language date/time parser written in pure Ruby. See below for the wide variety of formats Chronic will parse.

Support

Quality

Security

License

Reuse

Support

chronic has a medium active ecosystem.

It has 3104 star(s) with 458 fork(s). There are 76 watchers for this library.

It had no major release in the last 6 months.

There are 122 open issues and 153 have been closed. On average issues are closed in 332 days. There are 24 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of chronic is current.

Quality

chronic has 0 bugs and 0 code smells.

Security

chronic has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

chronic code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

chronic is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

chronic releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed chronic and discovered the below as its top functions. This is intended to give you an instant insight into chronic implemented functionality, and help decide if they suit your requirements.

Takes up the time for the month and returns the time array
returns the next time for a given object
Normalize non - year
Takes an array of tokens to match tokens .
Extracts the next span from the start of selector .
Creates a new span
Handle a single month
Returns a new instance of the next day .
Handle the date of the month
Handle a month

Get all kandi verified functions for this library.

chronic Key Features

No Key Features are available at this moment for chronic.

chronic Examples and Code Snippets

No Code Snippets are available at this moment for chronic.

Community Discussions

Trending Discussions on chronic

Add frequency and % of missing values in gtsummary

How to extract duplicate rows and merge them by certain variable

Pull sentences including any keywords and store them in another df column

Splitting long text dataframe column into multiple columns with matched pharases

How do you create branching logic/skipping rules in a Microsoft Access form?

How to make props button link clickable?

Find characters before and after dollar amount in vector of text data in R

How to remove element tags from results, Web Scraping Articles with Python

SQLite3 Integrity Error When Running "createsuperuser"

R: Text separation into new columns ie mutate in R

QUESTION

Add frequency and % of missing values in gtsummary

Asked 2022-Mar-23 at 01:25

df_nhpi %>%    
select(AGE, SEX, MAR_STAT, HEIGHT, WEIGHT, BMI, HTN, HTNMED, MI, Smoking, COPD, CANCER, DIABETES) %>%   
tbl_summary(by = SEX,               
           label = list(MAR_STAT ~ 'Marital Status',        
                        HTN ~ 'Hypertension',                            
                        HTNMED ~ 'Hypertension Medication',                            
                        MI ~ 'Heart Attack',                             
                        Smoking ~ 'Smoking Status',                             
                        COPD ~ 'Chronic Obstructive Pulmonary Disease'),               
           type = list(c("HTN","HTNMED", "MI", "COPD", "CANCER") ~ "categorical"),               
           missing = "ifany",               
           missing_text = "Unknown",               
           statistic = list(all_continuous() ~ "{mean} ({sd})",                                
                            all_categorical() ~ "{n} ({p}%)"),               
           digits = all_continuous() ~ 2, percent = "column") %>%   
add_stat_label() %>%   
add_p(test = all_continuous() ~ "t.test", pvalue_fun = 
           function(x) style_pvalue(x, digits = 3)) %>%   
bold_p() %>%   
modify_caption("**Table 1. Baseline Characteristics**") %>%   bold_labels()

...

ANSWER

Answered 2022-Mar-23 at 01:25

I prepared two solutions that both report the proportion of missing data. Hopefully one of them works for you!

Source https://stackoverflow.com/questions/71580596

QUESTION

How to extract duplicate rows and merge them by certain variable

Asked 2022-Mar-22 at 07:42

the title is a bit confusing but I have a dataset that looks like this: head(df)

...

ANSWER

Answered 2022-Mar-22 at 07:42

quite straightforward: group by ID, paste and collapse unique values from the other columns..

custom sample data with duplicate ID Whites/Hispanic

Source https://stackoverflow.com/questions/71563146

QUESTION

Pull sentences including any keywords and store them in another df column

Asked 2022-Mar-13 at 23:24

(python, pandas, etc.) Haven't been able to figure out a robust answer to the following:

I have a dataframe essentially containing articles (df['Content'] is the name. I would like to pull the entire sentence (and store it/them in a new column) each time it includes any keywords.

So far I'm only able to get the unique set of keywords that are flagged each time. How do I get the sentences from the Content column?

...

ANSWER

Answered 2022-Mar-13 at 23:24

You're going to find a few challenges here, such as body-positivity being in one of your sentences but not being a keyword. There could be many variations you are missing. However you can take an initial stab at it by splitting all of the individual sentences into rows, then using the regex to find the matches. You can stack those back up into lists of matches if you want.

Source https://stackoverflow.com/questions/71461507

QUESTION

Splitting long text dataframe column into multiple columns with matched pharases

Asked 2022-Feb-22 at 02:22

I Have dataframe with column having a very long text per row, looks like this:

ID text id1 DIAGNOSTIC CEREBRAL ANGIOGRAM DATE: 8/26/2005 INDICATION: 78-year-old man with a history of shunted normal pressure hydrocephalus who more recently has been managed for a right-sided subdural hematoma. This was initially managed conservatively in the acute phase but progressed to an enlarging chronic subdural hematoma that was ultimately treated with burr hole drainage. Middle meningeal artery embolization was recommended to minimize the risk of future recurrence. COMPARISON: CT brain 8/24/2003 and CT brain MEDICATIONS: 1. Heparin 3500 units IV. 2. Nitroglycerin 200 mcg IA. 3. Verapamil 5 mg IA. 4. See anesthesia records for additional medications administered. CONTRAST: 150 mL Visipaque RADIATION DOSE: 16.3 min; 587.7 mGy IMPRESSION: Successful particle and coil embolization of the parietal branch of the right middle meningeal artery for treatment of a right-sided chronic subdural hematoma.

I would like to split this columns into multiple columns Phrases to split on

Starts with “DATE:”
Starts with “Medication:”
Starts with “ IMPRESSION:”
Starts with “ INDICATION:”
Starts with “ COMPARISON:”

I need the final dataframe to look like this

id DATE INDICATION COMPARISON MEDICATIONS IMPRESSION id1 8/26/2005 78-year-old man with a history of shunted normal pressure hydrocephalus who more recently has been managed for a right-sided subdural hematoma. This was initially managed conservatively in the acute phase but progressed to an enlarging chronic subdural hematoma that was ultimately treated with burr hole drainage. Middle meningeal artery embolization was recommended to minimize the risk of future recurrence. CT brain 8/24/2003 and CT brain 8/26/2003 1. Heparin 3500 units IV. 2. Nitroglycerin 200 mcg IA. 3. Verapamil 5 mg IA. 4. See anesthesia records for additional medications administered. CONTRAST: 150 mL Visipaque RADIATION DOSE: 16.3 min; 587.7 mGy Status post left pterional craniotomy for clipping of a left middle cerebral artery trifurcation aneurysm with no evidence of residual aneurysm ...

ANSWER

Answered 2022-Feb-22 at 02:19

You could use pandas extract and Python named groups to extract only the desired parts of the paragraph.

Source https://stackoverflow.com/questions/71191364

QUESTION

How do you create branching logic/skipping rules in a Microsoft Access form?

Asked 2022-Feb-15 at 00:43

I'm creating a very simple Access database with a table and corresponding form. For some questions on the form, I'd like to disable following questions, or hide them using branching logic.

For example, in my form I have a combobox question that asks: Are you a smoker? - "Yes", "No", "Prefer not to answer". The following question is: If yes, how often do you smoke? If they chose the answers "No" or "Prefer not to answer" for the first question, then I don't want the second question to be visible/enabled.

I've been searching for a way to do this and the easiest way seems to be setting the Visible property of textbox "If yes, how often do you smoke?" to No. After that, I go to question "Are you a smoker?" and go to Event Procedure in the Properties menu. This brings up a VBA code editor with the following text:

...

ANSWER

Answered 2022-Feb-15 at 00:43

VBA code could be as simple as Me.[how often].Visible = Me.Combo367 = "Yes". No If Then Else needed. Code will need to be in combobox AfterUpdate as well as form Current events, not Click event. Code will apply to ALL instances of control, not just the current record.

NOTE: use of Me qualifier is shorthand for form/report object code is behind.

If you prefer to use If Then Else, correct syntax would be:

Source https://stackoverflow.com/questions/71119527

QUESTION

How to make props button link clickable?

Asked 2022-Jan-23 at 15:02

I have a React card component as in the code below:

...

ANSWER

Answered 2022-Jan-23 at 15:02

you need a onClick listener on your button element

Source https://stackoverflow.com/questions/70822591

QUESTION

Find characters before and after dollar amount in vector of text data in R

Asked 2022-Jan-21 at 14:02

I have a vector of text data (news data). I am trying to scan the text for any money amount and the text surrounding this amount. I managed this with the first element of my vector but struggle with using a loop and list to repeat the process for all data. I use str_extract_currencies from stringr which does a good job in detecting numbers. It may be possible with regular expressions, but I don't know how.

...

ANSWER

Answered 2022-Jan-21 at 14:02

Simply wrap your function in a lapply:

Source https://stackoverflow.com/questions/70802216

QUESTION

How to remove element tags from results, Web Scraping Articles with Python

Asked 2022-Jan-12 at 05:45

I've recently been teaching myself python and instead of diving right into courses I decided to think of some script ideas I could research and work through myself. The first I decided to make after seeing something similar referenced in a video was a web scraper to grab articles from sites, such as the New York Times. (I'd like to preface the post by stating that I understand some sites might have varying TOS regarding this and I want to make it clear I'm only doing this to learn the aspects of code and do not have any other motive -- I also have an account to NYT and have not done this on websites where I do not possess an account)

I've gained a bit of an understanding of the python required to perform this as well as began utilizing some BeautifulSoup commands and some of it works well! I've found the specific elements that refer to parts of the article in F12 inspect and am able to successfully grab just the text from these parts.

When it comes to the body of the article, however, the elements are set up in such a way that I'm having troubling grabbing all of the text and not bringing some tags along with it.

Where I'm at so far:

...

ANSWER

Answered 2022-Jan-12 at 05:45

Select the paragraphs more specific, while adding p to your css selector, than item is the paragraph and you can simply call .text or if there is something to strip -> .text.strip() or .get_text(strip=True):

Source https://stackoverflow.com/questions/70662022

QUESTION

SQLite3 Integrity Error When Running "createsuperuser"

Asked 2022-Jan-08 at 16:27

I am trying to extend the default Django User model by linking to it through a OneToOneField.

I successfully migrated the changes and registered my Profile model inside admin.py, however, when I try to run the command python manage.py createsuperuser and fill in the information I get an Integrity Error.

...

ANSWER

Answered 2022-Jan-08 at 00:19

You need to delete the migration files and again run the python manage.py makemigrations command. When it Prompts for a one-off default, you can use timezone.now, in order to populate the pre-existing rows in the database.

Source https://stackoverflow.com/questions/70626798

QUESTION

R: Text separation into new columns ie mutate in R

Asked 2021-Dec-16 at 11:59

I have a very large dataset (189k) with >250 variables where the variables have been inserted using web-based tick boxes. Some variables have then been combined into single lines such as medical comorbidities:

This variable has ~1500 combinations of medical conditions like the above line. I want to mutate into separate columns for example Col 1: Hypertension (Yes/No), Col 2: Diabetes (Yes/No) ... so that the presence or absence of a pre-existing condition can be used as predictive variables.

Is there a way to code this in R?

...

ANSWER

Answered 2021-Dec-16 at 11:59

It looks to me like you have data where there is a variable of all medical conditions, separated by | — something like:

Source https://stackoverflow.com/questions/70378091

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install chronic

You can download it from GitHub.
On a UNIX-like operating system, using your system’s package manager is easiest. However, the packaged Ruby version may not be the newest one. There is also an installer for Windows. Managers help you to switch between multiple Ruby versions on your system. Installers can be used to install a specific or multiple Ruby versions. Please refer ruby-lang.org for more information.