brasil.io | para código dos scripts de coleta de dados , veja o link na | Dataset library

by turicas Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | brasil.io Summary

brasil.io is a Python library typically used in Artificial Intelligence, Dataset applications. brasil.io has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has medium support. You can download it from GitHub.

Backend do Brasil.IO (para código dos scripts de coleta de dados, veja o link na página de cada dataset)

Support

Quality

Security

License

Reuse

Support

brasil.io has a medium active ecosystem.

It has 813 star(s) with 143 fork(s). There are 63 watchers for this library.

It had no major release in the last 6 months.

There are 122 open issues and 174 have been closed. On average issues are closed in 84 days. There are 21 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of brasil.io is current.

Quality

brasil.io has 0 bugs and 0 code smells.

Security

brasil.io has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

brasil.io code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

brasil.io is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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

Top functions reviewed by kandi - BETA

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

Get details of a document
Get the headquarter or branch of a document
Get table model from dataset
Return branches from the given document
View detail view of a dataset
Return a model dynamic form
Format the request
Parse the querystring
Detects a table from a CSV file
Return data for a given state
Load data from the database
Run Cloudflare
Dashboard view
View for a data table
Execute the model
Display the current state of a state
Convert CSV data to SQLite table
Send a contact
Run the main thread
Execute all blocked requests
Re - import new spreadsheets
Return a spreadsheet proxy
Generate a sample spread sheet
Default exception handler
Return the sha512sum for this bucket
View detail view

Get all kandi verified functions for this library.

brasil.io Key Features

No Key Features are available at this moment for brasil.io.

brasil.io Examples and Code Snippets

No Code Snippets are available at this moment for brasil.io.

Community Discussions

Trending Discussions on brasil.io

Update row after comparing values on pandas dataframe

Problem loading a compressed (.gz) .csv file from url

QUESTION

Update row after comparing values on pandas dataframe

Asked 2020-Jul-16 at 20:38

I connect to an API that provides covid-19 data in Brazil organized by state and city, as follows:

...

ANSWER

Answered 2020-Jul-16 at 20:38

You have to adjust the date. Your data frame date column is a string. You can convert them to datetime.

Source https://stackoverflow.com/questions/62935378

QUESTION

Problem loading a compressed (.gz) .csv file from url

Asked 2020-Jul-12 at 16:17

I am trying to load with Pandas a csv file directly from a url. The csv file is compressed as a .gz file:

...

ANSWER

Answered 2020-Jul-12 at 16:17

The issue is that you are decoding the content and then using io.StringIO.

The solution is to not decode the bytes and use io.BytesIO.

See this Stack Overflow answer: https://stackoverflow.com/a/38131261/1913726

The url returns the content as GNU ZIP. pd.read_csv expects a file path or buffer as its first argument. Because the content is bytes, a io.BytesIO object must be used. Pandas then handles the decompression of the data into a CSV file.

Source https://stackoverflow.com/questions/62863078

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

Vulnerabilities

No vulnerabilities reported

Install brasil.io

You can download it from GitHub.
You can use brasil.io 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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