probablepeople | python library for parsing unstructured western names | Parser library

by datamade Python Version: 0.5.5 License: MIT

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

kandi X-RAY | probablepeople Summary

probablepeople is a Python library typically used in Utilities, Parser applications. probablepeople has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install probablepeople' or download it from GitHub, PyPI.

:family: a python library for parsing unstructured western names into name components.

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Quality

Security

License

Reuse

Support

probablepeople has a low active ecosystem.

It has 553 star(s) with 68 fork(s). There are 29 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 57 open issues and 31 have been closed. On average issues are closed in 42 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of probablepeople is 0.5.5

Quality

probablepeople has no bugs reported.

Security

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

License

probablepeople 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

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

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

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

Top functions reviewed by kandi - BETA

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

Adds the predictedPreds to the training data
Train a model
Parse a string into a list of tokens
Return a dictionary of token features
Convert a list of tokens to features
Tokenize a string
Return the number of digits
Return the vowel ratio
Split a word into n - grams
Writes filtered names to a csv file
Load and tagger for a given type
Create a set of tagged data

Get all kandi verified functions for this library.

probablepeople Key Features

No Key Features are available at this moment for probablepeople.

probablepeople Examples and Code Snippets

No Code Snippets are available at this moment for probablepeople.

Community Discussions

Trending Discussions on probablepeople

Pandas: Run external library function to create new column efficiently

QUESTION

Pandas: Run external library function to create new column efficiently

Asked 2019-Jul-06 at 04:02

def conv_name(x):
    try:
        #library to convert strings to name dict
        return pp.tag(str(x))[0]
    except:
        return np.nan

dfn = df.name.to_frame()
dfn['conv'] = dfn.name.apply(lambda x: conv_name(x))
dfn['given_name'] = dfn.conv.apply(pd.Series).GivenName
dfn['sunname'] = dfn.conv.apply(pd.Series).Surname

...

ANSWER

Answered 2019-Jul-06 at 04:02

First, make conv_name more efficient by simply returning two values:

Source https://stackoverflow.com/questions/56910436

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

Vulnerabilities

No vulnerabilities reported

Install probablepeople

You can install using 'pip install probablepeople' or download it from GitHub, PyPI.
You can use probablepeople 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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