prettyplotlib | Painlessly create beautiful matplotlib plots | Data Visualization library

by olgabot Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | prettyplotlib Summary

prettyplotlib is a Python library typically used in Analytics, Data Visualization applications. prettyplotlib has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can download it from GitHub.

Python matplotlib-enhancer library which painlessly creates beautiful default matplotlib plots. Inspired by [Edward Tufte] work on information design and [Cynthia Brewer] work on [color perception] I truly believe that scientific progress is impeded when improper data visualizations are used. I spent a lot of time tweaking my figures to make them more understandable, and realized the scientific world could be a better place if the default parameters for plotting libraries followed recent advances in information design research. And thus prettyplotlib was born.

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Quality

Security

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Support

prettyplotlib has a highly active ecosystem.

It has 1646 star(s) with 148 fork(s). There are 84 watchers for this library.

It had no major release in the last 6 months.

There are 10 open issues and 54 have been closed. On average issues are closed in 111 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of prettyplotlib is current.

Quality

prettyplotlib has 0 bugs and 33 code smells.

Security

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

prettyplotlib code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

prettyplotlib 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

prettyplotlib 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.

prettyplotlib saves you 457 person hours of effort in developing the same functionality from scratch.

It has 1079 lines of code, 61 functions and 30 files.

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

Top functions reviewed by kandi - BETA

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

Plot a bar chart
Remove chartjunk from axes
Create a legend plot
Return a matplotlib axes
Return a list of colors for each yvals
Draws the beeswarm plot
Draw the beeswarm plot
Plot lines
Plot a matplotlib figure
Return fig and ax
Fill between two axes
Retrieve the line width from kwargs
Plot a boxplot
Plot a histogram plot
Plot an eventplot
Plot a stacked stack

Get all kandi verified functions for this library.

prettyplotlib Key Features

No Key Features are available at this moment for prettyplotlib.

prettyplotlib Examples and Code Snippets

No Code Snippets are available at this moment for prettyplotlib.

Community Discussions

Trending Discussions on prettyplotlib

prettyplotlib labels and annotations are off-centred

Order of bars in prettyplotlib barchart

Define the structure of an untitled document in Spyder

QUESTION

prettyplotlib labels and annotations are off-centred

Asked 2017-Oct-05 at 09:31

Why are annotations of prettyplotlib barchat and x-axis labels off-centered?

Using prettyplotlib==0.1.7

If we create a normal barchart with the x-axis as defined by the 2nd argument, the labels are well centred on the bar:

...

ANSWER

Answered 2017-Oct-05 at 09:31

I would recommend not using prettyplotlib any more. It's 3 years old and all it's basically doing is to change the style of the plots. Better use matplotlib directly and if you are not happy with the style, use a different one or create your own. If you encounter problems, questions about changing the style also have a very high chance of being answered here.

Here is a way how to change the style to recreate the plot from the above question.

Source https://stackoverflow.com/questions/46578185

QUESTION

Order of bars in prettyplotlib barchart

Asked 2017-Oct-05 at 08:45

How to control the order of the bars in prettyplotlib barchart?

From prettyplotlib==0.1.7

Using the standard ppl.bar I could get a barchart as such:

...

ANSWER

Answered 2017-Oct-05 at 08:41

Since prettyplotlib is mostly responsible for the style, your problem is actually not specific to its use, and you need to use native matplotlib methods to reverse your x axis:

Source https://stackoverflow.com/questions/46578130

QUESTION

Define the structure of an untitled document in Spyder

Asked 2017-Apr-19 at 16:16

I used to know how to do that with Spyder back when Python 2.# was the rage. Been a few years since and I just started programming again so memory isn't what it used to be.

Using "Spyder 3.1.3" I want to be able to tell it that when I click "New Document" (toolbar button or with File menu) to open an untitled document with the "import" code already typed. I use those packages the most.

Ex: Current "Untitled.py":

...

ANSWER

Answered 2017-Apr-19 at 16:16

Follow this route from the main menu: Tools → Preferences → Editor → Advanced settings. There press the button Edit template for new modules. Edit and save the template.py.

Source https://stackoverflow.com/questions/43498157

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

Vulnerabilities

No vulnerabilities reported

Install prettyplotlib

You can download it from GitHub.
You can use prettyplotlib 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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