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Title | Overview — K3D-jupyter |
Description | Overview# Ctrl + K K3D-jupyter documentation Site Navigation User Guide API reference Gallery GitHub PyPi Conda Site Navigation User Guide API reference Gallery Git |
Keywords | N/A |
WebSite | k3d-jupyter.org |
Host IP | 195.78.67.21 |
Location | Poland |
Site | Rank |
US$1,501,311
Last updated: 2023-05-08 19:18:31
k3d-jupyter.org has Semrush global rank of 7,050,044. k3d-jupyter.org has an estimated worth of US$ 1,501,311, based on its estimated Ads revenue. k3d-jupyter.org receives approximately 173,229 unique visitors each day. Its web server is located in Poland, with IP address 195.78.67.21. According to SiteAdvisor, k3d-jupyter.org is safe to visit. |
Purchase/Sale Value | US$1,501,311 |
Daily Ads Revenue | US$1,386 |
Monthly Ads Revenue | US$41,575 |
Yearly Ads Revenue | US$498,897 |
Daily Unique Visitors | 11,549 |
Note: All traffic and earnings values are estimates. |
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k3d-jupyter.org. | A | 7199 | IP: 195.78.67.21 |
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k3d-jupyter.org. | NS | 14400 | NS Record: dns1.linuxpl.com. |
k3d-jupyter.org. | NS | 14400 | NS Record: dns2.linuxpl.com. |
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Ctrl + K K3D-jupyter documentation Site Navigation User Guide API reference Gallery GitHub PyPi Conda Site Navigation User Guide API reference Gallery GitHub PyPi Conda Ctrl + K Overview # K3D-jupyter is a Jupyter Notebook 3D visualization package. The primary aim of K3D-jupyter is to be an easy 3D visualization tool, designed with native interoperation with existing powerful libraries such as PyVista , without being strictly dependent on them. K3D-jupyter plots ipywidgets assuring a perfect interaction of a browser-side widget with Python kernel by a proven and standardized protocol. Brief Examples # import k3d import numpy as np from k3d import matplotlib_color_maps data = np . load ( ’streamlines_data.npz’ ) plot = k3d . plot () plot += k3d . line ( data [ ’lines’ ], width = 0.00007 , color_range = [ 0 , 0.5 ], shader = ’mesh’ , attribute = data [ ’v’ ], color_map = matplotlib_color_maps . Inferno ) plot += k3d . mesh ( data [ ’vertices’ ], data [ ’indices’ ], opacity = 0.25 , |
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