Αποτελέσματα Αναζήτησης
19 Οκτ 2012 · Graphs are rendered with D3.js and can be created with a Python API, matplotlib, ggplot for Python, Seaborn, prettyplotlib, and pandas. You can zoom, pan, toggle traces on and off, and see data on the hover.
Plotly.js can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more. Contact us for Plotly.js consulting, dashboard development, application integration, and feature additions.
15 Μαρ 2023 · Python Bokeh is a Data Visualization library that provides interactive charts and plots. Bokeh renders its plots using HTML and JavaScript that uses modern web browsers for presenting elegant, concise construction of novel graphics with high-level interactivity. Features of Bokeh:
Simple creation of interactive graph visualizations directly from within Python, powered by JavaScript libraries and highly optimized modern webbrowsers. Accepting graph objects from existing Python libraries as input and auto-converting them to a single JSON-based format that can also be provided directly by the user or other libraries.
This is a list of 10 working graphs (bar chart, pie chart, line chart, etc.) with colors and data set up to render decent looking charts that you can copy and paste into your own projects, and quickly get going with customizing and fine-tuning to make them fit your style and purpose. To use these examples, make sure to also include Chart.js:
It's fast: graphs update up to 20 times / second. This repo contains several examples for working with the Plotly streaming API. All of the examples are running in real-time on a remote server. View the IPython notebooks in nbviewer here: nbviewer.ipython.org/github/plotly/Streaming-Demos. Questions? Suggestions? Made a sweet real-time graph?
16 Φεβ 2020 · Plotly is an open-source data visualization library for Python and R written in JavaScript, making graphs inherently interactive.
