Python-Visualizations | 50 Visualizations which can you to finish | Data Visualization library

by WilliamCHW Python Version: Current License: No License

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

kandi X-RAY | Python-Visualizations Summary

Python-Visualizations is a Python library typically used in Analytics, Data Visualization, D3 applications. Python-Visualizations has no bugs, it has no vulnerabilities and it has low support. However Python-Visualizations build file is not available. You can download it from GitHub.

There are 50 Visualizations which can you to finish 7 different purposes of data analysis.

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Quality

Security

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Support

Python-Visualizations has a low active ecosystem.

It has 16 star(s) with 12 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Python-Visualizations has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Python-Visualizations is current.

Quality

Python-Visualizations has 0 bugs and 0 code smells.

Security

Python-Visualizations has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Python-Visualizations code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Python-Visualizations does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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Python-Visualizations releases are not available. You will need to build from source code and install.

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

Python-Visualizations saves you 433 person hours of effort in developing the same functionality from scratch.

It has 1026 lines of code, 6 functions and 55 files.

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

Top functions reviewed by kandi - BETA

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

Add the number of observations to the plot
Draws an encircle of points .
Creates a new line
Function to format a percentage .

Get all kandi verified functions for this library.

Python-Visualizations Key Features

No Key Features are available at this moment for Python-Visualizations.

Python-Visualizations Examples and Code Snippets

No Code Snippets are available at this moment for Python-Visualizations.

Community Discussions

Trending Discussions on Python-Visualizations

Regional settings conflicting with Matplotlib for Python Visualizations in Power BI

QUESTION

Regional settings conflicting with Matplotlib for Python Visualizations in Power BI

Asked 2018-Oct-19 at 06:08

The challenge:

How can you prevent Matplotlib from using commas in figure arguments like matplotlib.pyplot.figure(figsize=(3,75,3,5)) without changing your locale settings (and still use commas as decimal separators for the rest of your system)?

The details:

From the questions and answers in the posts What is the best data format and setup for a time series in a Python Visualization in Power BI? and What setup do you need for Python Visualizations in Power BI? Any particular matplotlib package versions or system settings?, it seems that many european Power BI users will face a few issues when it comes to Python Visualizations in Power BI. This is because regional settings and using comma as a decimal separator raises an issue in matplotlib.

In order to avoid the errors matplotlib.pyplot.figure(figsize=(3,75,3,52)) and TypeError: from_bounds() takes 4 positional arguments but 6 were given when you're setting up a Python Visualization, it seems that you would have to:

Use non-european regional settings for you entire system, or
tell matplotlib to ignore regional settings when setting up a figure.

At least to me, It would be unthinkable to use another regional setting and decimal separator than ",". As far as I know, that would mess up the numerous other reports what we've set up in Power BI.

So I guess we're stuck with option 2.

In the post Matplotlib : Comma separated number format for axis, one of the answers shows how this can be done using:

...

ANSWER

Answered 2018-Aug-29 at 12:30

Workaround by changing the decimal separator in the Control Panel worked out for me. Don't forget to close and re-open PBI after having applied it to actually apply the change.

Source https://stackoverflow.com/questions/51859000

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

Vulnerabilities

No vulnerabilities reported

Install Python-Visualizations

You can download it from GitHub.
You can use Python-Visualizations 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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