xpct | xpct provides an algebra that abstracts assertion | Functional Programming library

by tek Scala Version: Current License: MIT

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

kandi X-RAY | xpct Summary

xpct is a Scala library typically used in Programming Style, Functional Programming applications. xpct has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

xpct provides an algebra that abstracts assertion of conditions and extraction of values from heterogeneous data types contained in a computation effect.

Support

Quality

Security

License

Reuse

Support

xpct has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of xpct is current.

Quality

xpct has no bugs reported.

Security

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

License

xpct 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

xpct 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.

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xpct Key Features

No Key Features are available at this moment for xpct.

xpct Examples and Code Snippets

No Code Snippets are available at this moment for xpct.

Community Discussions

Trending Discussions on xpct

Trying to fix the "Truth value of a Series is Ambiguous" Error on Pandas / Python

QUESTION

Trying to fix the "Truth value of a Series is Ambiguous" Error on Pandas / Python

Asked 2020-Feb-13 at 19:57

I am getting the following error:

...

ANSWER

Answered 2020-Feb-13 at 19:57

data['UpDown'] = (data['Diff'] > 0)
data['UpDown'] = data.groupby((df1['UpDown'] != data['UpDown'].shift()).cumsum()).cumcount() +1
data.loc[data['Diff'] < 0, 'UpDown'] *= -1

Source https://stackoverflow.com/questions/60178883

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

Vulnerabilities

No vulnerabilities reported

Install xpct

You can download it from GitHub.

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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