cubehelix | full implementation of Dave Green

 by   jradavenport Jupyter Notebook Version: Current License: BSD-2-Clause

kandi X-RAY | cubehelix Summary

kandi X-RAY | cubehelix Summary

cubehelix is a Jupyter Notebook library. cubehelix has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A full implementation of Dave Green’s [cubehelix] colormap for Python. The user can adjust all parameters of the cubehelix algorithm. This enables much greater flexibility in choosing color maps, while (by default) ensuring the color map scales in brightness from black to white.
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            kandi-support Support

              cubehelix has a low active ecosystem.
              It has 80 star(s) with 7 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 2 have been closed. On average issues are closed in 2 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of cubehelix is current.

            kandi-Quality Quality

              cubehelix has 0 bugs and 6 code smells.

            kandi-Security Security

              cubehelix has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              cubehelix code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              cubehelix is licensed under the BSD-2-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              cubehelix releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.
              cubehelix saves you 23 person hours of effort in developing the same functionality from scratch.
              It has 65 lines of code, 2 functions and 3 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed cubehelix and discovered the below as its top functions. This is intended to give you an instant insight into cubehelix implemented functionality, and help decide if they suit your requirements.
            • Generate a cmap .
            • Read a file .
            Get all kandi verified functions for this library.

            cubehelix Key Features

            No Key Features are available at this moment for cubehelix.

            cubehelix Examples and Code Snippets

            No Code Snippets are available at this moment for cubehelix.

            Community Discussions

            QUESTION

            Create d3 linear color legend using d3 colors
            Asked 2022-Jan-26 at 13:10

            I want to create color legend using linear gradient > https://bl.ocks.org/HarryStevens/6eb89487fc99ad016723b901cbd57fde . But how can I pass my d3 colors here because its in the form like d3.scaleSequential(d3.interpolateViridis).domain([0,1]). In linear gradient the colors are passed as below :

            ...

            ANSWER

            Answered 2022-Jan-26 at 13:10

            Here's an example using d3.interpolateSpectral. You can create your data with d3.range and map:

            Source https://stackoverflow.com/questions/70829892

            QUESTION

            Plotting lat and lon on satellite image using MetPy's Declarative syntax
            Asked 2021-Jul-07 at 22:13

            I am attempting to find a way to visualize the separate regions/phases of the MJO. I believe one way to do so would be by plotting the longitude lines that separate each phase region (at roughly 60E, 80E, 100E, 120E, 140E, 160E, 180), but I am unsure if it is possible to add to my existing plots.

            I am using GRID-Sat B1 data from NCEI. Here is what my current code looks like:

            ...

            ANSWER

            Answered 2021-Jul-07 at 22:13

            There's nothing built into MetPy's declarative interface, but fortunately the MapPanel objects expose a .ax attribute that gives you a Matplotlib Axes object and all its plotting methods:

            Source https://stackoverflow.com/questions/68291187

            QUESTION

            Error "Trying to re-register the builtin cmap 'cubehelix' when trying to import the python module "yt"
            Asked 2021-Jun-14 at 11:04

            I installed the Python package yt simply through pip install yt. When I tried to import it, it returns the following error message:

            ...

            ANSWER

            Answered 2021-Jun-14 at 11:04

            I googled your error and found https://mail.python.org/archives/list/yt-users@python.org/message/5C2ZTKNETGVY24QY2G6ED33CGFUPRQSW/ from a couple of months ago, which leads to https://github.com/yt-project/yt/pull/3149.

            It looks like the workaround could be to downgrade Matplotlib to a version less than 3.4.0.

            Source https://stackoverflow.com/questions/67969047

            QUESTION

            cmaps vs plt.style.use. What's the difference?
            Asked 2020-May-07 at 15:51

            I noticed that there are two ways to change the themes of a plot in matplotlib:

            1) type the style before the plot: eg:

            ...

            ANSWER

            Answered 2020-May-07 at 11:43

            styles and cmaps have nothing to do with each other.

            Styles are a way to change the appearance of the plot elements. See Customizing Matplotlib with style sheets and rcParams. Seaborn includes a few pre-defined styles, but you can create your own from scratch.

            cmaps are a way to map a value in a given range to a color. See here https://matplotlib.org/tutorials/colors/colormaps.html

            Note that a style can include a default colormap

            Source https://stackoverflow.com/questions/61656194

            QUESTION

            python too fast for gnuplot to complete its work
            Asked 2020-Jan-15 at 14:39

            Altogether with gnuplot and python I have an analysis which briefly may be described as gnuplot accessing the files' statistics, plotting the data, while Python subsequenty shall remove the file for good:

            ...

            ANSWER

            Answered 2020-Jan-14 at 21:22

            In such a case, I would suggest calling gnuplot directly using subprocess.run. When run returns, gnuplot has finished.

            For example:

            Source https://stackoverflow.com/questions/59721197

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

            Vulnerabilities

            No vulnerabilities reported

            Install cubehelix

            You can download it from GitHub.

            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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