matplotlibrc | example matplotlibrc files , and a script display

 by   daler Python Version: Current License: No License

kandi X-RAY | matplotlibrc Summary

kandi X-RAY | matplotlibrc Summary

matplotlibrc is a Python library. matplotlibrc has no bugs, it has no vulnerabilities and it has low support. However matplotlibrc build file is not available. You can download it from GitHub.

some example matplotlibrc files, and a script display their effects
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            kandi-support Support

              matplotlibrc has a low active ecosystem.
              It has 48 star(s) with 12 fork(s). There are 4 watchers for this library.
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              It had no major release in the last 6 months.
              matplotlibrc has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of matplotlibrc is current.

            kandi-Quality Quality

              matplotlibrc has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              matplotlibrc does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              matplotlibrc releases are not available. You will need to build from source code and install.
              matplotlibrc has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed matplotlibrc and discovered the below as its top functions. This is intended to give you an instant insight into matplotlibrc implemented functionality, and help decide if they suit your requirements.
            • Scatter plot .
            • Plot line plot .
            • Create a histogram plot .
            • Shows a random image .
            Get all kandi verified functions for this library.

            matplotlibrc Key Features

            No Key Features are available at this moment for matplotlibrc.

            matplotlibrc Examples and Code Snippets

            No Code Snippets are available at this moment for matplotlibrc.

            Community Discussions

            QUESTION

            Failing to use the GTK3Agg Matplotlib backend in Jupyter Notebook
            Asked 2022-Feb-04 at 09:44

            I'm working with Jupyter Notebook (Python 3.9.7, Matplotlib 3.4.3, Anaconda 4.11.0). I'm trying to use the following Matplotlib custom configurations in a Jupyter Notebook:

            ...

            ANSWER

            Answered 2022-Feb-04 at 09:44

            The issue is not with python, matplotlib or jupyter-notebook, but a LaTeX issue:

            Source https://stackoverflow.com/questions/70974714

            QUESTION

            Is it possible to put bbox_to_anchor into a matplotlibrc file?
            Asked 2022-Jan-29 at 09:56
            • I would like to define a standard matplotlib style using a matplotlibrc file, with the plot legend outside the plot. This is possible using bbox_to_anchor in the plot code, but this is not a known rcparam. Any other options?

            • Is it possible to make all plot titles appear in capitals using matplotlibrc?

            ...

            ANSWER

            Answered 2022-Jan-29 at 09:56

            Short answer is that neither of those things can be set in rcParams. You can get the sidebar-legend by passing a tuple as the loc argument to legend(), but rcParams can't handle tuple values yet. And I don't think rcParams is the right place to do text modification like uppercasing.

            You can put both into a decorator, along with rcParams, and have a decorated version of pyplot calls:

            Source https://stackoverflow.com/questions/70834709

            QUESTION

            matplotlib: horizontal labels as style
            Asked 2022-Jan-16 at 00:49

            Is there a parameter to force horizontal labels in an mplstyle file? and/or using rcParams?

            I'm currently using ax.xaxis.set_tick_params(rotation=0) at plot construction. I'd like a permanent style or setting. Thanks!

            Default look (with x_compat=True in a pandas dataframes):

            Desired look:

            ...

            ANSWER

            Answered 2022-Jan-14 at 08:46

            Use parameter rot from df.plot

            Source https://stackoverflow.com/questions/70707996

            QUESTION

            Is there a configuration file like matplotlibrc in Plots.jl?
            Asked 2021-Dec-13 at 10:58

            I try to unify my figures formats across different files. I do not want to use PyPlot.jl. Is there a configuration file as matplotlibrc in Python? Or some other alternative way that can make me to write these format into a file without changing much about my figures code.

            ...

            ANSWER

            Answered 2021-Dec-13 at 10:58

            If I understand your question correctly (I haven't used matplotlib in ages, so not sure what the matplotlibrc file exactly does) you want to specify default settings for your plots in Plots.jl.

            When using Plots in a running Julia session, you can use the default function:

            Source https://stackoverflow.com/questions/70333093

            QUESTION

            Visual studio code: "matplotlib" is not accessed Pylance
            Asked 2021-Sep-18 at 01:27

            I get the error in the title when I try to import matplotlib. Please I have been searching for 3 hours and still no solution.I've tried source activate base changing the interpreter, I have updated to latest matplotlib. and I have tried echo "backend : TkAgg" > ~/.matplotlib/matplotlibrc but none of these works. But numpy works but for some reason matplotlib does not. any help is appreciated.

            terminal message:

            ...

            ANSWER

            Answered 2021-Sep-18 at 01:27

            Since You already installed matplotlib and since I had a similar problem, heres what I did:

            1.) change your python interpreter: In VSCODE there's usually a "recommended" interpreter that they will recommend, try that one. If that dosen't work try to use the interpreter with "conda" in the name.

            2.) This is the most important but overlooked step: RESTART your VS code to see the changes. bring up the command palate via cmd + shift + p, then type in "reload" and a "reload window" should pop up, click on it to reload.

            3.) once reloaded you should be able to import matplotlib now.

            Source https://stackoverflow.com/questions/69227433

            QUESTION

            PGF / LaTeX Backend in Matplotlib via Jupyter Notebook SLURM Job on HPC System
            Asked 2021-Sep-03 at 21:19

            I am a university student using my university's computing cluster.

            I installed Tex Live to my home directory at ~/.local/texlive/. I have a file called mplrc. The MATPLOTLIBRC environment variable is set to the mplrc file. The mplrc file contains the following lines

            ...

            ANSWER

            Answered 2021-Sep-03 at 21:19

            I figured it out. I forgot I had run a section of code which set

            Source https://stackoverflow.com/questions/69026073

            QUESTION

            Module not found after building python project by using pysinstaller
            Asked 2021-Jul-13 at 20:00

            I recently finished a project I have been working on for a while. I should present my work on the class' smart board which runs on linux. Taking in mind i can't download its modules because i don't have sudo permission nor it does have internet. So to get around this I decided to build it using pyinstaller. Everything seemed to work just fine in my device, but when i double checked in Virtual box this error pops up.

            ...

            ANSWER

            Answered 2021-Jul-13 at 20:00

            matplotlib requires a config file names matplotlibrc to be found in one of 4 specific locations, the first one being the courant directory (see https://matplotlib.org/tutorials/introductory/customizing.html#the-matplotlibrc-file) One this file prepared as per need it can be embeeded in the exe by adding --add-data=matplotlibrc;. to the build command (replace ; with : for non-Windows systems)

            Source https://stackoverflow.com/questions/68329580

            QUESTION

            Restore rcdefaults by environment setting
            Asked 2021-Apr-22 at 09:59

            I have a library of python code that should create identical plots regardless of who is running it. So I'd like to ignore any user settings from e.g. the matplotlibrc file. I know I can do

            matplotlib.rcdefaults()

            within the code. However there is no one module that I know every script (or future added script) will call. I am able to define environment variables that will propagate through the bash environments that run these scripts, so is there is a way to specify matplotlib defaults that way?

            ...

            ANSWER

            Answered 2021-Apr-22 at 09:59

            Looks like one option might be to set

            Source https://stackoverflow.com/questions/67210631

            QUESTION

            How to solve this Python AttributeError: module 'matplotlib' has no attribute 'get_data_path' (in JupyterLab 3.0>=)
            Asked 2021-Mar-30 at 10:49

            Today(Mar 30, 2021) I upgraded matplotlib and seaborn package.

            But, after that, I can't import matplotlib and seaborn package.

            Whenever I tried importing matplotlib or seaborn, I got error messages like below.

            How can I solve this problem?

            (I used JupyterLab 3.0)

            ...

            ANSWER

            Answered 2021-Mar-30 at 10:49

            These kinds of errors are typical for a version conflict, especially if you recently upgraded.

            A common mistake is to just upgrade one package and expect that everything else will continue to work. Certain versions of libraries are only compatible with certain versions of other libraries and so on. Reality is that you have to find a working combination of all the libraries as a whole. From your example it is impossible to know what went wrong, but I would assume that you also have to upgrade the maptplotlib dependencies, and possibly their dependencies too.

            If you are not closely familiar with those libraries, it can get tricky to chase this down, so you might be better off by simply reinstalling everything through pip or some other dependency-aware package manager.

            Source https://stackoverflow.com/questions/66868188

            QUESTION

            How can I cleanly achieve a consistent style for seaborn plots from different python files aimed at an academic paper?
            Asked 2021-Feb-15 at 17:30

            I am producing a lot of plots using python seaborn and would like to achieve something like a "house style". Different python scripts are producing plots and I would like a consistent style across them, the ultimate destination being an academic paper or a thesis (LaTeX -> pdf). For example, when submitting to a particular venue, the standard font might be sans-serif, so it would be good to switch that in one place for all the plots produced.

            I know about set_context(), set_style and their standard options, but if I wanted more control, is it possible to centrally define the style and then use it in each script? The docs suggest that something like this is possible: https://seaborn.pydata.org/generated/seaborn.set_style.html says that style is a "dictionary of parameters or the name of a preconfigured set" but it is light on details - where are these parameters? Are they just straight matplotlib parameters?

            I have seen https://matplotlib.org/stable/tutorials/introductory/customizing.html which sets out all the things you can tweak and save in a matplotlibrc file. Is there a seaborn equivalent?

            ...

            ANSWER

            Answered 2021-Feb-15 at 17:30

            Just to answer the question here rather than in the comments, seaborn's theming system works entirely through the matplotlib rcParams interface.

            All theme control in seaborn happens through code, but matplotlib also lets you define styles in a file that will either get picked up implicitly (if the file is named matplotlibrc and lives somewhere predictable) or explicitly (if you use the newer plt.style.use function and point it at a file with the matplotlibrc structure).

            I'd prefer the more explicit approach (either using seaborn's set_{theme,style,context,palette} functions or matplotlib's plt.style.use function), for reproducibility reasons.

            With the seaborn approach (explicitly enumerate the parameters in code) you don't have to worry about forgetting to include any additional files when you distribute the code. With the explicit plt.style.use command, you still need an external file, but it will be obvious what went wrong if it's missing. When you rely on the implicit matplotlibrc configuration, you can send someone your code, they won't get the same plots as you, and it won't be obvious why.

            Source https://stackoverflow.com/questions/66206522

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

            Vulnerabilities

            No vulnerabilities reported

            Install matplotlibrc

            You can download it from GitHub.
            You can use matplotlibrc 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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