Plotly Python Graphing Library
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.
Getting Started with Plotly in Python
The plotly Python library is an interactive, open-source plotting library that supports over 40 unique chart types covering a wide range of statistical, financial, geographic, scientific, and 3-dimensional use-cases.
Interactive Data Analysis with FigureWidget ipywidgets in Python
Interactive Data Analysis with Plotly . New to Plotly? Plotly is a free and open-source graphing library for Python. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.
Scatter plots in Python
Over 29 examples of Scatter Plots including changing color, size, log axes, and more in Python.
Interactive HTML Export in Python - Plotly
Plotly figures are interactive when viewed in a web browser: you can hover over data points, pan and zoom axes, and show and hide traces by clicking or double-clicking on the legend. You can export figures either to static image file formats like PNG, JPEG, SVG or PDF or you can export them to HTML files which can be opened in a browser.
Basic charts in Python - Plotly
Plotly Python Open Source Graphing Library Basic Charts. Plotly's Python graphing library makes interactive, publication-quality graphs online. Examples of how to make basic charts.
Maps in Python - Plotly
Plotly Python Open Source Graphing Library Maps. Plotly's Python graphing library makes interactive, publication-quality maps online.
Line Charts in Python - Plotly
Over 16 examples of Line Charts including changing color, size, log axes, and more in Python.
Plotly Express in Python
The plotly.express module (usually imported as px) contains functions that can create entire figures at once, and is referred to as Plotly Express or PX. Plotly Express is a built-in part of the plotly library, and is the recommended starting point for creating most common figures.
Displaying Figures in Python - Plotly
Interactive renderers display figures using the plotly.js JavaScript library and are fully interactive, supporting pan, zoom, hover tooltips, etc. notebook ¶ This renderer is intended for use in the classic Jupyter Notebook (not JupyterLab).