opc-diag | line tool for exploring and diagnosing problems | File Utils library

by python-openxml Python Version: 1.0.0 License: MIT

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

kandi X-RAY | opc-diag Summary

opc-diag is a Python library typically used in Utilities, File Utils applications. opc-diag 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 opc-diag' or download it from GitHub, PyPI.

Command-line tool for exploring and diagnosing problems with Microsoft Office Open XML files (.docx, .pptx, .xlsx)

Support

Quality

Security

License

Reuse

Support

opc-diag has a low active ecosystem.

It has 31 star(s) with 10 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 125 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of opc-diag is 1.0.0

Quality

opc-diag has 0 bugs and 0 code smells.

Security

opc-diag has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

opc-diag code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

opc-diag 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

opc-diag 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.

opc-diag saves you 1018 person hours of effort in developing the same functionality from scratch.

It has 2312 lines of code, 313 functions and 41 files.

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

Top functions reviewed by kandi - BETA

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

Verify that pkg exists in target directory
Assert that stdout is empty
Assert that stderr is empty
Fail if two manifests have the same name
Use setuptools
Builds a setuptools egg
Download Setuptools
Extract all members of the archive
Helper function to read from file
Create a new CommandController instance
Return the diff between two packages
Write a single package
Returns a diff between two packages
Return the difference between two XML parts
Print the diff
Steps through the working_pkg_existitute_txt
String representation of the node
Substitute uri from src_pkg_path into target_pkg_path
Download setuptools
Install Setuptools
Substitute a package by uri
Parse command line options
Build the arguments for install
Create a package diff
Write blobs to a directory
Read a file

Get all kandi verified functions for this library.

opc-diag Key Features

No Key Features are available at this moment for opc-diag.

opc-diag Examples and Code Snippets

No Code Snippets are available at this moment for opc-diag.

Community Discussions

Trending Discussions on opc-diag

Python PPTX workaround function for rotating chart data labels

QUESTION

Python PPTX workaround function for rotating chart data labels

Asked 2017-Jun-16 at 03:17

I intend to create the following chart using Python PPTX.

Below code achieve the color setting, font size and number format. However, I am not yet able to rotate the data label, as I believe this API is not yet available in python-pptx 0.6.5

...

ANSWER

Answered 2017-Jun-16 at 03:17

I tried below and it works.

Source https://stackoverflow.com/questions/44544701

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

Vulnerabilities

No vulnerabilities reported

Install opc-diag

You can install using 'pip install opc-diag' or download it from GitHub, PyPI.
You can use opc-diag 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: