modoc | an API documentation generator | REST library

by mhbseal JavaScript Version: 4.0.0 License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | modoc Summary

modoc is a JavaScript library typically used in Web Services, REST applications. modoc has no bugs, it has no vulnerabilities and it has low support. You can install using 'npm i modoc' or download it from GitHub, npm.

an API documentation generator

Support

Quality

Security

License

Reuse

Support

modoc has a low active ecosystem.

It has 16 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

modoc has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of modoc is 4.0.0

Quality

modoc has 0 bugs and 0 code smells.

Security

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

modoc code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

modoc does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

Deployable package is available in npm.

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

modoc saves you 555 person hours of effort in developing the same functionality from scratch.

It has 1297 lines of code, 0 functions and 19 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

remove old cache from storage
parse date handler
convert time to seconds
Returns the day of year with the given size .
Save cache key
creates a reduce function for array reduction
Parse a URL
Creates a date getter .
Gets the week value of the given year .
publish messages .

Get all kandi verified functions for this library.

modoc Key Features

No Key Features are available at this moment for modoc.

modoc Examples and Code Snippets

No Code Snippets are available at this moment for modoc.

Community Discussions

Trending Discussions on modoc

How to use Pandas .value_counts to count number of times an event happened in (column a), and groupby year stated in (column b)

How to add 1 to all numbers == to 0 in a pandas dataframe column python

Gsub command to replace all spaces with a comma and space, (", "), except after certain words with R

QUESTION

How to use Pandas .value_counts to count number of times an event happened in (column a), and groupby year stated in (column b)

Asked 2021-Jul-10 at 21:05

I have preprocessed this a df containing info on US Emergency and Disaster history, to now contain the ```['Place, Disaster_type, Start_date, End_date Disaster_length, Year'] from 1960-2017.

Now, I would like to create 2 new dfs.

= to the number of times a disaster occurred in each year,
= to the number times each type of disaster occurred each year.

This is my current attempt at trying to calculate the number of disasters that happened each year and create a new df, but I'm not sure how to have it specifically count the number of disasters pear year.

...

ANSWER

Answered 2021-Jul-10 at 21:05

You can call size on groupby to get the counts.

Source https://stackoverflow.com/questions/68326546

QUESTION

How to add 1 to all numbers == to 0 in a pandas dataframe column python

Asked 2021-Jul-07 at 11:36

I am currently trying to calculate the length of disasters, measured in days, and then with this column that is the difference between the start date and end date, use groupby ( I think), in order to sum the length of disasters for each year, as my data set is from 1960 to present. Eventually, I'd like to also group it by disaster type as well to see how the length of particular disasters changed overtime, but one step at a time.

So far I have converted the dates to pd.datetime format, and then used the code below to create the column with the difference of the two dates

...

ANSWER

Answered 2021-Jul-07 at 11:36

First change the column creation code to:

Source https://stackoverflow.com/questions/68284953

QUESTION

Gsub command to replace all spaces with a comma and space, (", "), except after certain words with R

Asked 2021-Jun-05 at 00:29

I have a data.frame with a column containing California counties in each cell separated by a space. I would like to add a comma and space after each one, however I can't just gsub every space into a comma and space, (i.e. gsub("\s",",\s",text)), as some counties in California have two names, (e.g. Los Angeles, San Francisco, etc.)

Fortunately, the two-word counties all have common first words so I'd like to write a gsub that preserves the space in those counties without adding a comma. I've attached example data as well as what I'd like the final form to look like. For instance, with this data, I'd like to add a comma and space except after "El", "San" and "Del".

Example data:

...

ANSWER

Answered 2021-Jun-05 at 00:29

Given that you know you are only looking for California counties, one "easy" way is just to replace only spaces that occur after a California county. To get that regex, I just concatenated the CA county names together with | and added a space. The gsub will replace any county name followed by a space with the same county name (\\1), a comma, and a space.

Source https://stackoverflow.com/questions/67845153

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