lets-plot
View on PyPI — Reverse Dependencies (8)
Wheel Details
| Project: | lets-plot |
| Version: | 4.5.1 |
| Filename: | lets_plot-4.5.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
| Download: | [link] |
| Size: | 3376013 |
| MD5: | 74f52e752d534ef56d3a1f0f54dd4b2a |
| SHA256: | 8e84f315f5a9e17ee9264e9e8e29e79eb37dcb9bf5b952d7a1f488cd77c9be22 |
| Uploaded: | 2024-10-25 15:59:53 +0000 |
dist-info
METADATA · WHEEL · RECORD · top_level.txt
METADATA
WHEEL
| Wheel-Version: | 1.0 |
| Generator: | setuptools (75.2.0) |
| Root-Is-Purelib: | false |
| Tag: | cp39-cp39-manylinux_2_17_x86_64 |
| Tag: | cp39-cp39-manylinux2014_x86_64 |
RECORD
| Path | Digest | Size |
|---|---|---|
| lets_plot_kotlin_bridge.cpython-39-x86_64-linux-gnu.so | sha256=J8IV1vJEUF9R6VsKax8ClZEo02APNruNCgxGWuoRKZo | 11327176 |
| lets_plot/tilesets.py | sha256=6Hqz-m-rFCq2XbMHtRJ0Zq3GTrnV-GCIhlFMT1opevs | 9186 |
| lets_plot/_kbridge.py | sha256=H8-GGwhKjnmLlyfAoR_VBHhgb7wlWnQP0-fDto5FF-4 | 1214 |
| lets_plot/_version.py | sha256=bf2qfr3bhINq7NgZzlyj_J3fT6PSzSHB-eSofcZxaFc | 233 |
| lets_plot/mapping.py | sha256=q-O14pcnAosRIWcgg9-CkXMF43p5H7cKbyT4ne9w6hY | 3576 |
| lets_plot/_global_settings.py | sha256=4P9UL6xWEARJuxyvXBQUxt1NE_YDrU_ElF34pr72VhA | 7440 |
| lets_plot/settings_utils.py | sha256=PrceNltN0JNzYxkIx0hwGgzX9dNxgVNqZY5hQ-r8QMQ | 8434 |
| lets_plot/_type_utils.py | sha256=2GZ4GrJHe7rk_DPSHj88nBW8R9xxx7IGbgGQwhQclOg | 2919 |
| lets_plot/__init__.py | sha256=JBXXtPi4nwhU9jrsUXcQTP1iaGF0jbHBVk_66pohq9I | 11224 |
| lets_plot/package_data/lets-plot.min.js | sha256=UOxpCug_JiqHEYU5AXZHBkMh6vSzVCDl_7boWUrZhyw | 2765720 |
| lets_plot/geo_data/geocoder.py | sha256=CNqb_DMm_yJgE5ItyW8J4kq7kQo8fp4lHuUHPiOo3sM | 33713 |
| lets_plot/geo_data/type_assertion.py | sha256=ldO3pgs_RA8OFCXhoykdCXjZZi8YhPWcLTM377_vh8k | 775 |
| lets_plot/geo_data/to_geo_data_frame.py | sha256=jvOi2xyoJPK_CPEDvjidzeI3d8o06HtD0ZLmsHHG5-M | 5321 |
| lets_plot/geo_data/core.py | sha256=GWQTPn7-miSiB-ovGZItFlHs5XiQqqFbNdRMPFnFjNA | 9346 |
| lets_plot/geo_data/livemap_helper.py | sha256=vmmkC8FkBckFlSLpsps794OtYqRnEVCGn5NkZLOmw9o | 2085 |
| lets_plot/geo_data/__init__.py | sha256=e5GeHGKgmh7W8-f7VGLsoqNYIzNMMT8dVGkZPGclXw8 | 599 |
| lets_plot/geo_data/geocodes.py | sha256=DOdJKa2UVrf4ME64_6H9prrzLZ5ohgp9SKRnq4zgVu0 | 17861 |
| lets_plot/geo_data/gis/json_response.py | sha256=kpulh_-3CuRtP8lGSu6vdYFuZe5UHvt0s6-cvIK524Y | 12353 |
| lets_plot/geo_data/gis/request.py | sha256=TzNcbX05YY4eB9_y78FBVI6mCtbPCgdQnm5M_h7e_n4 | 17413 |
| lets_plot/geo_data/gis/fluent_dict.py | sha256=WR1uREV2vx_krAQdegol1fIIebtbWm3bb_8jDt7uj-E | 7030 |
| lets_plot/geo_data/gis/geocoding_service.py | sha256=UfM0xMf_9MC0_8EtHiJTLSI6CKbrC4_OqtMSTg2oCxI | 1652 |
| lets_plot/geo_data/gis/json_request.py | sha256=CSNQRcgVVkeYjJ4uQ8_ppJ3CFgPm4JqmmeVR6q9HE-Y | 10546 |
| lets_plot/geo_data/gis/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
| lets_plot/geo_data/gis/geometry.py | sha256=kPtKDx35N4p7vhtaLOVA0rfHqsVYSDwMT5NhD8ydijQ | 2418 |
| lets_plot/geo_data/gis/response.py | sha256=7Ac2VN4Hl9iffm7wAyfL80Wzo7sG9A1F5BqzJU3uZgQ | 8014 |
| lets_plot/frontend_context/_webbr_html_page_ctx.py | sha256=n_RunY5jmUn5UW_uD_DI_JSATIiTX3YWZtKLwReKNAY | 868 |
| lets_plot/frontend_context/_intellij_python_json_ctx.py | sha256=pklGvBxke3nvK4gWgK5TuFAEzr2ywDtLtC7_V9lHMPE | 1116 |
| lets_plot/frontend_context/sandbox.py | sha256=7fKogCbxiYbE3zt6efsaISP5t3-kbgGeDJ3MLr11u2g | 140 |
| lets_plot/frontend_context/_html_contexts.py | sha256=sk4VG0aBa0sGXTV1PIWPKjPRM5lE-hkVEcGDyd0k-1o | 4142 |
| lets_plot/frontend_context/_json_contexts.py | sha256=5yzjvcyg5ZXgVJPWkN5GNiaa2BBUkxd2BXzF0QnCfdA | 1371 |
| lets_plot/frontend_context/_static_html_page_ctx.py | sha256=8LMWMNw_S57FKptEytvQdtwGqe7v7FCu5oOGRETdovk | 841 |
| lets_plot/frontend_context/__init__.py | sha256=nqIogfMulwKRY2l_v3Rn7tXMQ1btasX9f7dwfrVaj_A | 204 |
| lets_plot/frontend_context/_configuration.py | sha256=5_2aUyWkPgJ0-q0znBM4ktjyv9qijXV6knGjgDBxIZI | 5205 |
| lets_plot/frontend_context/_jupyter_notebook_ctx.py | sha256=jphbEqRfSY3tGa8ITmvDNi8utqo2eyn25sAChymMdZE | 4562 |
| lets_plot/frontend_context/_static_svg_ctx.py | sha256=xc4EP8Lsa1kRID1-Jb5R40uG02OEMTKVwdUaSw4yQ_0 | 820 |
| lets_plot/frontend_context/_frontend_ctx.py | sha256=073vxq0laO6ubol3kJK6aBbWo9Fr2_olbQEZUbr_QFc | 359 |
| lets_plot/frontend_context/_mime_types.py | sha256=Ka1IlWM8IgKZJePrg1GHDwNqH1Lz3z3AWAjLY6ylSb8 | 239 |
| lets_plot/plot/expand_limits_.py | sha256=UJzBbNNrdSG7osANmchQ-Jcg27DuSzFXGu27-WxiPSI | 2307 |
| lets_plot/plot/sampling.py | sha256=qy0aesxFgpx-cO0-dC1Wv9r4oSbtz7hRPC9YsNk9Pyo | 8489 |
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| lets_plot/plot/theme_.py | sha256=JFEH3BOQiwdKOp_LwLhS2mJghiZRWXTkcfditjc3U5g | 28866 |
| lets_plot/plot/theme_set.py | sha256=USNU-ccPKlZ4KEC1ij92n-SHY5271Ru_c1CQIIWXonI | 9103 |
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| lets_plot/plot/tooltip.py | sha256=AvRjT5UPop5wVORFHnaVeBhAIHTYbIjf0FXXUTB4Qvg | 15983 |
| lets_plot/plot/annotation.py | sha256=ZBQ9ZTxOVT-ePVTUocPTQnM92loiVP0jgWw8XM9Cfmo | 7660 |
| lets_plot/plot/_global_theme.py | sha256=hOV9MzYpfjdF6hDE3mfLv_LqFtaouCJcccoW8pGoFoU | 297 |
| lets_plot/plot/subplots.py | sha256=Lhapm_3Z8-yPKTNg3Ey4RXGgJ_6X7zUxwWQ7Ob1Yks4 | 11311 |
| lets_plot/plot/scale_identity_.py | sha256=qHo_CI7Xb9Olqza_MqvEV672AaaXM9gWac20SX4AGc4 | 23796 |
| lets_plot/plot/util.py | sha256=778yCTbEOvFRNueMyEPhRkJtPEwzh3Lo0LQO0FtoM0U | 8586 |
| lets_plot/plot/scale_colormap_mpl.py | sha256=D5iWNaWGWpVFCJiNDwf-wHa8Snbd1YiWp6yktOkUl_A | 10267 |
| lets_plot/plot/plot.py | sha256=qtkQzu9kfkq0URpgUun_4x2y2LOvEeGxEzgfF5_vjOE | 7865 |
| lets_plot/plot/font_features.py | sha256=vUc_ICerwqnwwJbDaAm_fS8fmbRTZHzPoAHRszw0SF4 | 2238 |
| lets_plot/plot/pos.py | sha256=FIVYTElPSU5P8ZjI0FyweO2j1Cgb62dvJ172xXtxUp8 | 10359 |
| lets_plot/plot/stat.py | sha256=XuZvGxt801db37yM6MsiLb8L5f6BN2L0wfP-QjBDjcc | 22933 |
| lets_plot/plot/marginal_layer.py | sha256=Y4FMmQZlUuLxzjjntVQThuV8scG6LbEmDGjstGMOls4 | 6357 |
| lets_plot/plot/geom_imshow_.py | sha256=LWlNVriYK26HZGUjdkbiB4YaoTlVQxUyaNUPY46RVqw | 14759 |
| lets_plot/plot/geom_extras.py | sha256=I_ERjnZlk5VyilJELx0sA_4C2a_Ycjc2Thas-I6WZoo | 1694 |
| lets_plot/plot/sandbox_.py | sha256=Tb5UwJqe8HMMSCbDLdrj_BcxPSkmyxy-hI0_2L6kpBk | 545 |
| lets_plot/plot/scale_convenience.py | sha256=VWe9BJhFlUbWL2CLrOrxPy523dGIKIOL7A2H7OPx8_0 | 4116 |
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| lets_plot/plot/coord.py | sha256=h9ZTNmSbRjIdVTL_TTl9Dn5AsY46tYxuAKddUPjwe8s | 7976 |
| lets_plot/plot/series_meta.py | sha256=u8yEBcYw4_iXigUrQXJvapiHO3BiN_3F8S8B2OHtGD8 | 5498 |
| lets_plot/plot/__init__.py | sha256=XrJ9P8gX-RsQqYhHLrcmuByVqk9PEm4kb6EQXrqVJug | 1717 |
| lets_plot/plot/geom.py | sha256=rF-SPpUiMDgcnz4DfZw6_sza4F-exoFha6UJ874aTIE | 342373 |
| lets_plot/plot/geom_livemap_.py | sha256=mDfMoH_R3cvP30NjcPwfQE88L5eCcjQ87pKwhcyuRZM | 13127 |
| lets_plot/plot/label.py | sha256=iXTTLP-AjFtHRnti8v4mZMnGLRNLhsxhvetoQPhi8H0 | 4549 |
| lets_plot/plot/geom_function_.py | sha256=bMGr73qaEW3HnxlWADvHyt_nYn9HJGZzBqYiHx4yIHY | 7871 |
| lets_plot/plot/scale.py | sha256=roUvClEVR7sqpe20lOilqLQEL-7RdiIpK4ZsgmVXY44 | 136064 |
| lets_plot/plot/ggtb_.py | sha256=27B87h5gpg0Q7ZM5VrQ0D2K3Dd6Yjs8DhRvZEoZ_TvI | 1687 |
| lets_plot/plot/gggrid_.py | sha256=sSPdyj28v4eAcT4MeSWUjqr76m7MU8e-KIh8O-uuGSo | 4484 |
| lets_plot/export/__init__.py | sha256=lDs6fqtQjkgJyKqeYlOdhrHMN__TeggTz73hgHAkyzc | 188 |
| lets_plot/export/ggsave_.py | sha256=2RaY-_spIIV3LL7r1MP9dvM7SMsIeR8CqtGXPjIp4tI | 4571 |
| lets_plot/bistro/_plot2d_common.py | sha256=AnzmYmgdcZBysB_4X3EtSKmLkST3TScMBJacU9To0bM | 3619 |
| lets_plot/bistro/qq.py | sha256=4AMBjbtcwE4mQNmZSglGt1w8MnvhNqg7CZEVNb9fUr4 | 8098 |
| lets_plot/bistro/residual.py | sha256=8AwpW5bFD79HJ9MyqkNJKVLtGRtoCrr1W4LJ4bJqXYI | 12313 |
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| lets_plot/bistro/corr.py | sha256=nfxVWcS1UOfIMXWuE69-2ya0Omxi5jhIcRp3pSTxHZA | 12892 |
| lets_plot/bistro/waterfall.py | sha256=ftd1Mt0uIBT_3cgag3Q7ACd8QaoPtS9UYB_KD6Ug0mQ | 10336 |
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| lets_plot/bistro/joint.py | sha256=5-4121HVo79ie39qJgvAa0_EyG1wlrRx6c1YkudalFM | 6552 |
| lets_plot/geo_data_internals/constants.py | sha256=IDpHhOOg7dbfIKqLNSk3AGa-5HjDcnItFZDxCm4fylw | 428 |
| lets_plot/geo_data_internals/utils.py | sha256=phV_Q84xz4uZH2jI9WLUrYDyZAz0d2-00OOLxkRH4iw | 967 |
| lets_plot/geo_data_internals/__init__.py | sha256=4R6hr7MVB9iRi9JNQm_UUQL9jCe_dYDtizw_230V2Yg | 234 |
| lets_plot-4.5.1.dist-info/WHEEL | sha256=kSJjjAI8d0NP8TzOGVWuKHf8Zn9O8E8Zof2t_MzmXHg | 147 |
| lets_plot-4.5.1.dist-info/LICENSE | sha256=r43VKLFaMylB4Ru-pE07j0cfUO7wQpMnWm-uZ8hEqMw | 1066 |
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| lets_plot-4.5.1.dist-info/RECORD | — | — |
top_level.txt
lets_plot
lets_plot_kotlin_bridge