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I want to modify image files (bmp, jpg, and png) by adding text on top of it in a specific area. For example if I were to draw an picture for an envelope and print different addresses on top in a designated area with specified fonts and colors which library would I use?
I am looking for something like this http://python-catalin.blogspot.com/2010/06/add-text-on-image-with-pil-module.html
But with a BSD license that can work with numpy and scipy with Python 3 since I just switched.
Is this a job for Scikit-image or Pillow (Not sure if it is BSD)? if not what can I use and which part of the library?
This can be achieved using freetype-py. See the example here: https://code.google.com/p/freetype-py/source/browse/trunk/examples/hello-world.py
This would also be a good fit for the skimage.draw module, and we can certainly consider adding it.
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As title says, I'm looking for a 2D graphic library, where I can create a window, and then draw lines and basic shapes on it. I was searching around for a similar topics, and I've found something about GTK & Cairo. I have some experience with drawing in Java 2D Graphics library, so I would like to be able to create some small games like Space Invaders, Snake...
If you are looking for a slightly more static version of GUI which is less about moving visuals, you should check out Tkinter which comes as python's default GUI
On the other hand, if you want to make "small games like Space Invaders, Snake...", the pygame module would provide you with a great set of tools to easily create these games. I suggest you check them both out and see which one suits your needs better.
Good Luck
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As the title implies, I wrote a script because I needed to generate large numbers of images with random circles lines etc in them, for this I have used the svgwrite library to create the DOM objects.
But for the next stage I need them in either the .png or .jpeg format, I'm pretty sure I could write a script to convert the previously generated SVG if they were saved on the hard disk.
I would like it to be all in one script and not to create temporary svg files, so does somebody know of a Python library in which I can generate svg objects and then save them to .png or jpeg ?
To be more to the point I need to generate some images circles etc, in a easy way as with with SVG, which then I can use with the PIL image processing library.
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I need to make a very simple image that will illustrate a cash flow diagram based on user input. Basically, I just need to make an axis and some arrows facing up and down and proportional to the value of the cash flow. I would like to know how to do this with matplot.
The best tool can be matplotlib. You can simply store the values in a list and then use 'stem' to draw the lines. Then you can use markers with triangle_up and triangle_down to show the arrow.
If you simply need arrows pointing up and down, use Unicode arrows like "↑" and "↓". This would be really simple if rendering in a browser.
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I have a list which contains some data points which I need to plot.
The list is approximately 11,000 x 40 in size (2D Plot with numeric values).
Currently I am using matplotlib (as I moved to python from Matlab), however this is slow to plot so many points, and resizing the graph manually crashes my computer (MacBook Retina with 16Gb RAM).
The graph I would like needs to be interactive and therefore such delays are unacceptable.
Can anyone give me some advice with regards to perhaps a better (quicker) plotting library?
Thanks
EDIT: I am currently researching some tools but I am finding it difficult to work out which would be the fastest in terms of plotting...
I am looking at:
MathGL - http://mathgl.sourceforge.net/
Gnuplot.py - http://gnuplot-py.sourceforge.net/
PyQtGraph - http://www.pyqtgraph.org/
PyQwt - http://pyqwt.sourceforge.net/
guiqwt - http://pypi.python.org/pypi/guiqwt/
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What are the best libaries for creating interactive (zoom, pan, create online annotations) charts in python?
I've checked Pretty graphs and charts in Python
but this does not address zoom, pan, and annotation capabilities.
I'm not sure what you mean by "annotation" in this context, but matplotlib graphs are well-suited for interactive work, and include very good zooming and panning capabilities built-in.