In summary, to export high-quality static images from plotly.py, all you need to do is install the kaleido package and then use the plotly.io.write_image and plotly.io.to_image functions (or the .write_image and .to_image graph object figure methods).

How to add images to charts as background images or logos. New to Plotly? In this page we explain how to add static, non-interactive images as background, logo or annotation images to a figure. For exploring image data in interactive charts, see the tutorial on displaying image data.

Oct 1, 2020 · The Imshow method is the fastest method to show the 2d data. This method is used to generate an image from the numerical data. The numerical data can be in the form of NumPy array. Syntax: imshow (labels= {}, x=None, y=None, color_continuous_scale=None, color_continuous_midpoint=None, range_color=None,width=None, height=None)

Dec 3, 2020 · import plotly.graph_objects as go. graph = go.Figure(data=[go.Candlestick(x=df['Date'], open=df['AAPL.Open'], high=df['AAPL.High'], low=df['AAPL.Low'], close=df['AAPL.Close']) ]) graph.show() This will work: But you'll have to install kaleido. From the plotly docs you can see that:

Jul 17, 2024 · Plotly Express is a high-level interface for Plotly, making it easy to create beautiful, interactive visualizations with just a few lines of code. One of the great features of Plotly is the ability to save these plots as HTML files or static image files for sharing and publication purposes.

Feb 11, 2021 · For a local file you can use pillow (or similar) to read the file and then use that as the source for plotly. from PIL import Image pyLogo = Image.open("python-logo.png") In my case I have python-logo.png in the same folder as my notebook. Full example (adapted from here):

Built on top of the Plotly JavaScript library , plotly enables Python users to create beautiful interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as part of pure Python-built web applications using Dash.

Apr 29, 2024 · I am trying to export a graph objects figure as an image (PNG, JPG or whatever). I am trying with a simple example as below. import plotly.graph_objects as go fig = go.Figure( data=[go.Bar(x=[1, 2, 3], y=[1, 3, 2])], layout=go.Layout( title=go.layout.Title(text="A Figure Specified By A Graph Object") ) ) fig.show()

Nov 13, 2023 · With Plotly, you can generate charts, graphs, and maps using Python and render them locally or share them online. One handy feature provided by Plotly is the ability to export your plots as static image files that can be saved to disk or …

Mar 8, 2022 · I’m currently working on an app that plots a networkx graph with dash, following the template found here. I then want to put an image below the graph, acting as a map of sorts, with the graph over it showing possible routes. My code looks like this: