cenpy | Explore and download data from Census APIs | Data Manipulation library

by cenpy-devs Python Version: 1.0.1 License: Non-SPDX

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

kandi X-RAY | cenpy Summary

cenpy is a Python library typically used in Utilities, Data Manipulation applications. cenpy has no bugs, it has no vulnerabilities, it has build file available and it has low support. However cenpy has a Non-SPDX License. You can install using 'pip install cenpy' or download it from GitHub, PyPI.

Explore and download data from Census APIs

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Quality

Security

License

Reuse

Support

cenpy has a low active ecosystem.

It has 154 star(s) with 43 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

There are 41 open issues and 56 have been closed. On average issues are closed in 25 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cenpy is 1.0.1

Quality

cenpy has no bugs reported.

Security

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

License

cenpy 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

cenpy releases are available to install and integrate.

Deployable package is available in PyPI.

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

Top functions reviewed by kandi - BETA

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

Create a GeoData object from a place identifier
Coerce a column to a given kind
Replaces missing values in a column
Construct a GeoDataFrame from a bounding box
Returns the query string
Convert geometries
Parse a shapely Polygon into a Polygon object
Construct geomap coordinates from a name
Return a pandas tpipstable table
Download replication data for a given table
Returns a pandas dataframe containing columns and columns
Retrieve a dataframe from a list of files
Read a replication table
Performs a replicate operation
Return a pandas DataFrame with the current state
Convert gencounts to blocks
List of tables
Compute the analytic ratio
Calculate population data
Return a list of tables
Compute the analytic sum
Return a list of available services
Returns a pandas DataFrame of the fips table
Convert national codes to a block
Create a geom from a decimal place
Calculate the analytic propomposition
Read replication table
Create geometry from a place

Get all kandi verified functions for this library.

cenpy Key Features

No Key Features are available at this moment for cenpy.

cenpy Examples and Code Snippets

No Code Snippets are available at this moment for cenpy.

Community Discussions

Trending Discussions on cenpy

Cenpy Library cannot fetch Pittsburgh, PA data

QUESTION

Cenpy Library cannot fetch Pittsburgh, PA data

Asked 2021-Mar-25 at 04:12

I am working on a project where I am trying to analyze a lot of ACS census data from Pittsburgh, PA, USA. I can easily go to data.census.gov to grab the data I need for the 138 census tracts I am looking for, but that is simply not efficient. So I downloaded the cenpy library which has been working great for New York City ACS data. Here is an example for New York City:

...

ANSWER

Answered 2021-Mar-25 at 04:12

Use 'County Subdivision' as place_type. It seems that it helps to resolve the place correctly:

Source https://stackoverflow.com/questions/66790281

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

Vulnerabilities

No vulnerabilities reported

Install cenpy

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