I'm trying to use Altair to have a dynamic map, I can easily do the dynamic part, however I am trying to add an image as background of the plot (bitmap image), I cannot find any functions in this purpose and every example on the Altair documentation is based on Url/Json feature. Does anyone have already done this kind of plot ? Is it possible to maybe combine a matplotlib with the background image and a dynamic part such as in Altair ?
Thanks Everyone,
Antoine.
It is not possible to embed a bitmap image within Altair. Vega supports an image mark, but that has not yet made its way into Vega-Lite, which drives the API of Altair.
Requests for this feature in Vega-Lite can be tracked in this GitHub Issue.
Related
I found this library might be perfect for me as I want to plot a dot onto an image so is it possible to accomplish it using mpandroidchart?
I want to draw in an image using python3. I have implemented same thing in android application using java. Looking for something to be done on the web application. You can see at the bottom of the image where I have used paint in android.
My image is :
Sample Image
I am not getting any library or a code snippet to do so in python. Any suggestions will be a great help. Thanks
Pillow package provides the tools you need to add watermarks to your photos!
How to Watermark Your Photos with Python
I need to style nodes with SVG images but cannot make it work. I am using ImageNodeStyle and passing an SVG image to the constructor. However, applying this style to nodes has no effect. I tried using bitmap images and they work fine.
How do I enable SVG image support for node styling?
yFiles for JavaFX uses JavaFX as the rendering engine and JavaFX unfortunately does not directly support SVG images. You need to convert the SVG image into an image that JavaFX understands and then you will be able to use it with ImageNodeStyle.
Using WebViews would be another option, however this is a very heavyweight solution that does not scale very well for many SVGs. You can surely use for rendering a background SVG, but I would not use hundreds of instances to show simple SVG graphics for the visualization of nodes.
Take a look at this answer to a related SVG/JavaFX question: it proposes a solution to the generic problem, which should also work for this specific issue.
I have been doing some searching the last couple of days and I have been curious how to do this. I have a UIImagePickerController.
So I want to add a effect like black and white, sepia, etc. I am creating a custom UIImagePickerVController and I am curious. Can this be done with OpenGL ES? If so, how?
This is possible through the use of pixel shaders using OpenGL-ES 2.0. You could also write an Objective-c++ routine that gets all the pixels of your image into an array then applies a custom algorithm to modify the color of the image.
Edit:
Here are some links that might help get you started.
http://www.sunsetlakesoftware.com/2010/10/22/gpu-accelerated-video-processing-mac-and-ios
http://www.dreamincode.net/forums/topic/76816-image-processing-tutorial/
http://www.efg2.com/Lab/Library/ImageProcessing/Algorithms.htm
I'm trying to build PDF-documents on the server-side in a Django-Installation using reportlab. These documents should contain several graphs which are to be created with matplotlib.
I already figured out how to make reportlab use matplotlib's images without dumping them to the filesystem temporarily by passing PIL-Image objects directly to the Image()-flowable. This works surprisingly well for rasterized images formats like PNG.
Now, the icing on the cake would be able to embed vector based graphics (like SVG).
I used svglib to convert SVGs generated by matplotlib to reportlab graphic objects but unfortunately svglib does omit the tickmarks and axis labels. On some graphs it fails in general.
Do you have any ideas?
This page has a solution that I haven't had a chance to test myself yet: https://web.archive.org/web/20120725125858/http://lateral.netmanagers.com.ar/weblog/posts/BB753.html
You can generate matplotlib graphics as pdf and use pdfrw to embed it in reportlab canvas as described in this answer