LovelyPlots

View on PyPIReverse Dependencies (1)

1.0.2 lovelyplots-1.0.2-py3-none-any.whl

Wheel Details

Project: LovelyPlots
Version: 1.0.2
Filename: lovelyplots-1.0.2-py3-none-any.whl
Download: [link]
Size: 12968
MD5: 393bc1bdb342e05c85cf9630913e4478
SHA256: 3d778300203e546d7ff642b2ee16c91fa47f0980574b409148e1cb8976fe6832
Uploaded: 2024-03-06 05:18:49 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: lovelyplots
Version: 1.0.2
Summary: Format Matplotlib Plots for thesis, scientific papers and reports.
Author: Killian Sheriff
Author-Email: killian.sheriff[at]gmail.com
Home-Page: https://github.com/killiansheriff/LovelyPlots
License: MIT
Keywords: matplotlib-style-sheets,matplotlib-figures,scientific-papers,PhD,thesis-template,matplotlib-styles,Adobe Illustrator,Latex,latex-figures
Classifier: Framework :: Matplotlib
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Dist: matplotlib
Description-Content-Type: text/markdown
License-File: LICENCE
[Description omitted; length: 6760 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
lovelyplots/__init__.py sha256=VDgvXPVNjlYN7p1S8Ya_UopXDuonL1KEgV_x1PVvwX4 1042
lovelyplots/utils.py sha256=NdPERMdBz9X61sNkNJ16hiyfx_Op8i_KIFdbA9Li8qo 1032
lovelyplots/styles/ipynb.mplstyle sha256=cjYF83BmzSgByF6LHpptFrKCMptD6WZk5UmOzMJtd40 740
lovelyplots/styles/cmaps/cmap-cividis.mplstyle sha256=JgbHcUduFZo-DHQhFIGCCTm1Jxi2JPp1LXQB--yvwck 19
lovelyplots/styles/cmaps/cmap-inferno.mplstyle sha256=gqXfHDnedQ3F0VXkeYVIIe0_VmPpDP36u5-2EqpDtUc 19
lovelyplots/styles/cmaps/cmap-magma.mplstyle sha256=XBNxbQkoKRwhff4iGeH0bKTlHfJAzQQ4cBEQ84ki0gE 17
lovelyplots/styles/cmaps/cmap-plasma.mplstyle sha256=uP2J6WU_SWEZTKBCNOD97ibzlPscKuMdd-OOjxrwQ_c 18
lovelyplots/styles/cmaps/cmap-viridis.mplstyle sha256=3I9XWJn5gzNX5LiQ6R_TpxCDMWmisQ4mFFRjrRJWPVE 19
lovelyplots/styles/colors/colors10.mplstyle sha256=h_N3JouhOYHChfmnYrqll0N_chcq_HXovFa8Sx1vG8s 226
lovelyplots/styles/colors/colors5-light.mplstyle sha256=5ijw0AOUJkx7B0SE1YJsPEFlUYZP0JL1xzoYE5xomp8 146
lovelyplots/styles/colors/colors5.mplstyle sha256=2T14Er-z5ahYzMh_33hycxfD1CLt4u_NQ0h_ZokzFsY 146
lovelyplots/styles/colors/colorsblind10.mplstyle sha256=7rwus3kz9cYHQVfGhVvouSIWRs1kzxOq3_PP0myz1jg 231
lovelyplots/styles/colors/colorsblind34.mplstyle sha256=_HIzmWA7aGP_BmYuw3NOC9ZT_gMZLZlAyDUS0Z9GHKk 371
lovelyplots/styles/combination/colors10-ls.mplstyle sha256=PXtJ4tceFPIEPJi5-6jzymyQ1bRW08pzftgPZSQWuhw 201
lovelyplots/styles/combination/colors10-markers.mplstyle sha256=IsAH8i0KKwDF06YaQijBWO0hTyc7WkhQAbuS_B7EWdw 198
lovelyplots/styles/journals/nature.mplstyle sha256=EmHNjCxRSEeDjnZrWlmti4opN8l1NHg9WjFkLTSPmmA 883
lovelyplots/styles/journals/paper.mplstyle sha256=v_rlQaAS8-NKZ6wjAb5OAjWd17CGzwebD9W1f_kbfKk 892
lovelyplots/styles/linestyles/ls5.mplstyle sha256=ODS-T_iJwth2F02hnRBzQNtWVVWjhwJ1-qGjljLoqIM 59
lovelyplots/styles/markerstyle/marker7.mplstyle sha256=d6dVeQb19o1t-Ffks53VlxmNE3XdppGHkHdqFWtjxIY 71
lovelyplots/styles/utils/svg_no_fonttype.mplstyle sha256=exuW_l7TB6ecuK3BiDLWDTiI7vuWMpG0RoguQO0RQ88 19
lovelyplots/styles/utils/use_mathtext.mplstyle sha256=tH2no7XBGbBbI2M2DotgNXZZU3npTzgQvROPGrbmNPM 33
lovelyplots/styles/utils/use_tex.mplstyle sha256=AgaxDSvZNMtmxspGa0eJv2_Xpvru39_833caj2HtBjg 219
lovelyplots-1.0.2.dist-info/LICENCE sha256=RyLgt3qRR9t_0mXkCKEiaPStLIKbzQwilB8Sgu_qlUw 1071
lovelyplots-1.0.2.dist-info/METADATA sha256=xZtBS9WpKJ0-n-MN9xO0SVZh-hevvCv-YS-aYM5SCeM 7396
lovelyplots-1.0.2.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
lovelyplots-1.0.2.dist-info/top_level.txt sha256=QhabMDVpSS8cPCpvWLlIy1TfMa3EfCaGuVVU-jbWqTY 12
lovelyplots-1.0.2.dist-info/RECORD

top_level.txt

lovelyplots