Open-Data-Catalog | Open Data Catalog is an open data catalog | Dataset library

by azavea Python Version: Current License: MIT

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

kandi X-RAY | Open-Data-Catalog Summary

Open-Data-Catalog is a Python library typically used in Artificial Intelligence, Dataset applications. Open-Data-Catalog has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Open Data Catalog is an open data catalog based on Django, Python and PostgreSQL. It was originally developed for OpenDataPhilly.org, a portal that provides access to open data sets, applications, and APIs related to the Philadelphia region. The Open Data Catalog is a generalized version of the original source code with a simple skin. It is intended to display information and links to publicly available data in an easily searchable format. The code also includes options for data owners to submit data for consideration and for registered public users to nominate a type of data they would like to see openly available to the public.

Support

Quality

Security

License

Reuse

Support

Open-Data-Catalog has a low active ecosystem.

It has 222 star(s) with 85 fork(s). There are 52 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 4 have been closed. On average issues are closed in 45 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Open-Data-Catalog is current.

Quality

Open-Data-Catalog has 0 bugs and 0 code smells.

Security

Open-Data-Catalog has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Open-Data-Catalog code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Open-Data-Catalog 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

Open-Data-Catalog 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.

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

Top functions reviewed by kandi - BETA

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

Handles the post request
Creates a function that returns the key for the given key
Shortcut for HTTP Bad Request
Sends an email
Main entry point
Generate links and permissions
Install pip from app
Vote for a given suggestion
Encode a resource
List search suggestions
List suggestions
Return a single suggestion
Get an idea
Adds a vote for a given suggestion
Return a single resource
Close a suggestion
Start the server
Get the results of a given idea
Override save method
Return a list of resources
Render a list of tags
Return a link to the website
Return the search results
Decorator for views that require login
List all suggested suggestions
Suggest content

Get all kandi verified functions for this library.

Open-Data-Catalog Key Features

No Key Features are available at this moment for Open-Data-Catalog.

Open-Data-Catalog Examples and Code Snippets

No Code Snippets are available at this moment for Open-Data-Catalog.

Community Discussions

Trending Discussions on Open-Data-Catalog

How to remove double quotes when loading csv into external table in impala?

How to clean up datetime strings in dataframe after export from excel sheet?

QUESTION

How to remove double quotes when loading csv into external table in impala?

Asked 2018-Dec-03 at 00:55

This is the data (you can also download it from here):

...

ANSWER

Answered 2018-Dec-03 at 00:55

Below is what works for me to load csv with quotes be excluded is as below:

In Hive Editor (I assume beeline is good too though I didn't test it out):

Create Hive table

CREATE EXTERNAL TABLE sr2015(
creation_date STRING,
status STRING,
first_3_chars_of_postal_code STRING,
intersection_street_1 STRING,
intersection_street_2 STRING,
ward STRING,
service_request_type STRING,
division STRING,
section STRING )
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.OpenCSVSerde' WITH SERDEPROPERTIES (
'colelction.delim'='\u0002',
'field.delim'=',',
'mapkey.delim'='\u0003',
'serialization.format'=',', 'skip.header.line.count'='1',
'quoteChar'= "\"")
Load data into Hive table:

LOAD DATA INPATH "hdfs:///user/rxie/SR2015.csv" INTO TABLE sr2015;

Pending issue(will be discussed here): The table is not accessible in Impala

Source https://stackoverflow.com/questions/53575301

QUESTION

How to clean up datetime strings in dataframe after export from excel sheet?

Asked 2018-Dec-01 at 02:39

I have an excel spreadsheet with some datetime data in a column. I exported the data into a dataframe using pandas. This column however has chunks of dates that have the month and day swapped, while there are other chunks of dates in the same column that are correct. Here's an example -

Figure 1: Day and month have been swapped incorrectly

The above picture shows the day and month swapped. The date shows 2016-01-10 but should instead be 2016-10-01. Compare this with another chunk of datetime values in the same column -

Figure 2: Day and month are correctly represented

In the above case in Figure 2, the month correctly represented as 12 and the day is 31.

I used the solution from this question - How to swap months and days in a datetime object?

I also tried using this solution - Python Pandas - Day and Month mix up

I also tried writing my own function to map to the entries but this was to no avail either -

...

ANSWER

Answered 2018-Nov-28 at 16:15

OK.

EDIT -again. I ran the code below, and it took forever! I aborted in the end, but this definitely works in sensible time as well - good luck!:

Source https://stackoverflow.com/questions/53500872

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

Vulnerabilities

No vulnerabilities reported

Install Open-Data-Catalog

You can download it from GitHub.
You can use Open-Data-Catalog 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 .

Find more information at: