Search results
29 cze 2013 · Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.
This Getting Started guide explains how to install plotly and related optional pages. Once you've installed, you can use our documentation in three main ways: You jump right in to examples of how to make basic charts, statistical charts, scientific charts, financial charts, maps, and 3-dimensional charts.
Plotly's Python graphing library makes interactive, publication-quality graphs. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts.
plotly.py is an interactive, open-source, and JavaScript-based graphing library for Python. Built on top of plotly.js, plotly.py is a high-level, declarative charting library that includes over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.
Updated Plotly.js from version 2.31.1 to version 2.32.0. See the plotly.js CHANGELOG for more information. These changes are reflected in the auto-generated plotly.graph_objects module.
To download and install plotly, run the line of code below in your preferred Python programming IDE or code editor: pip install plotly. The Python code pip install plotly is a command used to install the plotly library using the Python package manager pip.
We can use virtualenv from the command line to create an environment using plotly.py version 3.3.0 and a separate one using plotly.py version 2.7.0. See the virtualenv documentation for more info. Install virtualenv globally
