ics-py | Pythonic and easy iCalendar library | Calendar library

by ics-py Python Version: v0.7.2 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | ics-py Summary

ics-py is a Python library typically used in User Interface, Calendar applications. ics-py has no bugs, it has no vulnerabilities and it has low support. However ics-py build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Pythonic and easy iCalendar library (rfc5545)

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Quality

Security

License

Reuse

Support

ics-py has a low active ecosystem.

It has 545 star(s) with 116 fork(s). There are 14 watchers for this library.

It had no major release in the last 12 months.

There are 29 open issues and 181 have been closed. On average issues are closed in 125 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ics-py is v0.7.2

Quality

ics-py has 0 bugs and 0 code smells.

Security

ics-py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ics-py code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ics-py has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

ics-py releases are available to install and integrate.

ics-py has no build file. You will be need to create the build yourself to build the component from source.

It has 4480 lines of code, 480 functions and 51 files.

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

Top functions reviewed by kandi - BETA

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

Populate the content line
Create a copy of the extra params
Check whether name is an instance of clazz
Parse a string into a Timespan object
Parse a datetime value
Parse timedelta
Convert a datetime object to a TimezoneResult
Create a Timezone instance from an offset
Serialize the component to the output
Convert rrule to ContentLine
Splits a comma separated list
Validates that the attribute is UTC
Returns the effective duration
Serialize the alarm
Serialize a datetime value
Populate the rrule
Converts a datetime to midnight
Populates the content line with the given context
Loads an instance of this component
Find the converters for this component
Serialize a time span
Populates the TimezoneObservanceObservance
Converts a builtin object to a TimezoneResult
Set the value for the timespan
Load an instance from a container
Serialize the value

Get all kandi verified functions for this library.

ics-py Key Features

No Key Features are available at this moment for ics-py.

ics-py Examples and Code Snippets

No Code Snippets are available at this moment for ics-py.

Community Discussions

Trending Discussions on ics-py

How to set x-ticks to months with `set_major_locator`?

QUESTION

How to set x-ticks to months with `set_major_locator`?

Asked 2019-Aug-22 at 00:06

I am trying to use the following code to set the x-ticks to [Jan., Feb., ...]

...

ANSWER

Answered 2019-Aug-22 at 00:06

It is not very clear the type of data you currently have. But below are my suggestions for plotting the month on the x-axis:

Transform your date using pd.to_datetime
Set it to your dataframe index.
Call explicitly the plt.set_xticks() method

Below one example with re-created data:

Source https://stackoverflow.com/questions/57586693

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

Vulnerabilities

No vulnerabilities reported

Install ics-py

You can download it from GitHub.
You can use ics-py like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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