corella | Beautiful correlation plots for the terminal | Data Visualization library

by nk412 Python Version: 0.0.2 License: MIT

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

kandi X-RAY | corella Summary

corella is a Python library typically used in Analytics, Data Visualization applications. corella 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 corella' or download it from GitHub, PyPI.

Correlation plots on the terminal, for quick and simple insights. Powered by pandas.

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Support

corella has a low active ecosystem.

It has 64 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

corella has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of corella is 0.0.2

Quality

corella has 0 bugs and 0 code smells.

Security

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

corella code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

corella 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

corella 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.

Installation instructions, examples and code snippets are available.

It has 97 lines of code, 6 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Draw the coroutine
Print a single row of cells
Draw legend
Label the columns

Get all kandi verified functions for this library.

corella Key Features

No Key Features are available at this moment for corella.

corella Examples and Code Snippets

Usage within Python

Python

Lines of Code : 3

License : Permissive (MIT)

Copy

from corella import Corella
C = Corella()
C.draw(pandas_df)

Community Discussions

Trending Discussions on corella

why !important doesn't work in CSS in my code

QUESTION

why !important doesn't work in CSS in my code

Asked 2018-Jul-25 at 13:27

here I have two menu.my problem is I can't change the text color of vertical menu. I use 'color: red !important' in list-item class but it did't work.I think I should change '.dropbtn ,li a ' but I don't know how to change it.(I want to define 2 different color) and it is complete code: http://jsfiddle.net/cudn8es7/63/

...

ANSWER

Answered 2018-Jul-25 at 13:11

You can just write the css for styling vertical menu anchor tags. There is no need of !important to use it over here.

Source https://stackoverflow.com/questions/51519679

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

Vulnerabilities

No vulnerabilities reported

Install corella

Requires Python3. Currently, only CSV files are supported. The dataset parsing and correlation calculation is all done via pandas.

Support

Set the color to use for positive correlation. Defaults to light_red Supported colors include black, red, green, yellow, blue, magenta, cyan, white and light_gray, dark_gray, light_red, light_green, light_yellow, light_blue, light_magenta, light_cyan. Full list of all 256 supported colors can be found at the colored project page. Set the color to use for negative correlation. Defaults to light_blue. Optional input CSV file. If specified, STDIN is ignored. The delimiter for the CSV file. Defaults to ,. The method to use for calculating the correlation coefficient. Defaults to pearson. https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.corr.html. The character padding to use on the left of the plot. Defaults to 20. If the length of a column name exceeds the specified padding, it is ignored. A flag to specify if the provided input does not have a header. Defaults to False. If specified, column numbers are used as names instead.

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