| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <title>Simple Scatter</title> | |
| </head> | |
| <body> | |
| <h2>Scatter Example</h2> | |
| <canvas id="scatter" width="600" height="400"></canvas> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/4.0.1/chart.umd.min.js" integrity="sha512-HyprZz2W40JOnIBIXDYHCFlkSscDdYaNe2FYl34g1DOmE9J+zEPoT4HHHZ2b3+milFBtiKVWb4sorDVVp+iuqA==" crossorigin="anonymous" referrerpolicy="no-referrer"></script> | |
| <script> |
| // Using https://github.com/rapidsai/node-rapids/ | |
| const cudf = require('@rapidsai/cudf'); | |
| const regexps = [ | |
| /Cloud|Overcast/, | |
| /Rain|T-Storm|Thunderstorm|Squalls|Drizzle/, | |
| /Snow/, | |
| /Fog/, | |
| /Ice|Hail|Freezing|Sleet/, |
| # Dashboard | |
| # Full example from https://github.com/rapidsai-community/showcase/tree/main/team_contributions/cuxfilter-tutorial | |
| # Data | |
| cux_df = cuxfilter.DataFrame.load_graph((final_df, edges)) | |
| # Charts | |
| chart1 = cuxfilter.charts.graph( | |
| edge_source='src', edge_target='dst', | |
| edge_color_palette=['gray', 'black'], |
Unless otherwise stated, there is not any currently direct connection to any of the tools below and GPU computing. Any GPU results generated via Numba, CuDF, etc. could be fed to the various APIs manually after exfiltrating to CPU memory.
Altair is based upon Vega-Lite and is especially tilted towards statistical data visualization and exploratory data analysis. Notably, Altair is only supported in notebook environments.
