olapy | OlaPy , an experimental OLAP engine based on Pandas | Business library

by abilian Python Version: 0.8.2 License: LGPL-2.1

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

kandi X-RAY | olapy Summary

olapy is a Python library typically used in Web Site, Business applications. olapy has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. However olapy build file is not available. You can install using 'pip install olapy' or download it from GitHub, PyPI.

OlaPy, an experimental OLAP engine based on Pandas

Support

Quality

Security

License

Reuse

Support

olapy has a low active ecosystem.

It has 82 star(s) with 14 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

There are 20 open issues and 5 have been closed. On average issues are closed in 124 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of olapy is 0.8.2

Quality

olapy has 0 bugs and 0 code smells.

Security

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

olapy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

olapy is licensed under the LGPL-2.1 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

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

Deployable package is available in PyPI.

olapy has no build file. You will be need to create the build yourself to build the component from source.

It has 9689 lines of code, 310 functions and 68 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Generate the SlicerAxis
True if the query is hierarchized
Generate the slice - converter
Generate the discovery rows for each row in the response
Change the selected cube
Change db urls
Execute iC cube v4
Benchmark a query
Response of mdschema_members response
Split a tuple
Start an OAPI server
Generate the information for one axis
Benchmark query execution
Run an etl file
Profile an olapy query
Benchmark a query
Convert mdx to mondrian
Discovers the response from a request
Generate md schema hierarchies response
Generate md schema response
Execute an MDX query
Generate a md - schema response
Return the MD schema hierarchy response
Returns the mdschema dimensions response
Return the response of the md schema response
Return the mdschema response
Parse the XMLA request and return the response

Get all kandi verified functions for this library.

olapy Key Features

No Key Features are available at this moment for olapy.

olapy Examples and Code Snippets

No Code Snippets are available at this moment for olapy.

Community Discussions

Trending Discussions on olapy

Python Connect to Microsoft Analysis Service

QUESTION

Python Connect to Microsoft Analysis Service

Asked 2019-Dec-09 at 13:11

I want to connect to the Microsoft Analysis Server via Python. I have seen you can do this by the package XML or olapy, but both of them required the Analysis Server to be in HTTP, which is not applicable in my case. Is it possible to connect to Analysis Server using a connection string, that is similar to Microsoft's OLAP in R?

i.e. the connection will be something like:

...

ANSWER

Answered 2019-Apr-24 at 14:50

Well just Googling around it seems that the library IronPython will be useful

Execute query on SQL Server Analysis Services with IronPython

Source https://stackoverflow.com/questions/55814673

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

Vulnerabilities

No vulnerabilities reported

Install olapy

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