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lovelyplots's Introduction

> Hi there, I'm Killian Sheriff

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Glad to see you here!  

About me: I am a Ph.D. candidate in the Department of Materials Science and Engineering at MIT, advised by Prof. Rodrigo Freitas. Prior to MIT, I graduated with an BSc. in Mathematics and Physics from McGill University in 2021. I am originally from Cannes, a beautiful city nestled in the South of France.

Research interests: My research interests lie at the intersection of materials science, machine learning and mathematics. Broadly, I am interested in combining data science techniques with cross-scale atomistic simulations to unravel physical phenomenon at an unprecedented resolution. I also enjoy designing computational workflows facilitating the characterization and discovery of materials.

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lovelyplots's Issues

imshow

Well done for creating this library and getting it compatible with Adobe Illustrator (spent too many hours of my life fixing figures!). Are you planning to expand on other plots like imshow? It does export correctly, but color scheme doesn't seem to change. Also, you may need color schemes which are appropriate for showing linear gradient changes, like heat maps, Matlab's jet, etc.

Reminds me of matplotlibify for plotly figures

matplotlibify is a function I've been iterating on to make plotly figures look more like publication-style matplotlib figures.

https://github.com/sparks-baird/xtal2png/pull/40/files

https://github.com/sparks-baird/xtal2png/blob/e62c8f0804761ce81888c378584ef9290a2b3296/src/xtal2png/utils/plotting.py#L7-L107

The community can definitely use more packages like this one geared towards scientific publishing and visualization! I will keep this one in mind.

Maybe a few others worth mentioning:

FileNotFoundError: [Errno 2] No such file or directory: 'ipynb'

I followed the installation instruction. However, when I use:
plt.style.use('ipynb')

then I faced with the error:

FileNotFoundError: [Errno 2] No such file or directory: 'ipynb'

Here is the available style when I use command plt.style.available:

['Solarize_Light2',
 '_classic_test_patch',
 '_mpl-gallery',
 '_mpl-gallery-nogrid',
 'bmh',
 'classic',
 'dark_background',
 'fast',
 'fivethirtyeight',
 'ggplot',
 'grayscale',
 'seaborn-v0_8',
 'seaborn-v0_8-bright',
 'seaborn-v0_8-colorblind',
 'seaborn-v0_8-dark',
 'seaborn-v0_8-dark-palette',
 'seaborn-v0_8-darkgrid',
 'seaborn-v0_8-deep',
 'seaborn-v0_8-muted',
 'seaborn-v0_8-notebook',
 'seaborn-v0_8-paper',
 'seaborn-v0_8-pastel',
 'seaborn-v0_8-poster',
 'seaborn-v0_8-talk',
 'seaborn-v0_8-ticks',
 'seaborn-v0_8-white',
 'seaborn-v0_8-whitegrid',
 'tableau-colorblind10']

I use conda to manage virtual envs and the env I installed LovelyPlots is the same as for the kernel that I run my Jupyter.

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