matplotlibrc | example matplotlibrc files , and a script display
kandi X-RAY | matplotlibrc Summary
kandi X-RAY | matplotlibrc Summary
some example matplotlibrc files, and a script display their effects
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matplotlibrc Examples and Code Snippets
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QUESTION
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 09:44The issue is not with python
, matplotlib
or jupyter-notebook
, but a LaTeX
issue:
QUESTION
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 09:56Short 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:
QUESTION
ANSWER
Answered 2022-Jan-14 at 08:46Use parameter rot
from df.plot
QUESTION
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 10:58If 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:
QUESTION
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 01:27Since 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.
QUESTION
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 21:19I figured it out. I forgot I had run a section of code which set
QUESTION
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 20:00matplotlib 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)
QUESTION
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 09:59Looks like one option might be to set
QUESTION
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 10:49These 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.
QUESTION
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 17:30Just 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.
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Install matplotlibrc
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.
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