Toyplot 0.18.0 Released - highlights include improvements to the format module, and new support for ellipse and range visualizations. Most importantly, 0.18 will be the final Toyplot release with Python 2 support. As usual, all the details are at http://toyplot.readthedocs.io/en/stable/release-notes.html … it’s a Festivus miracle!
hannes is https://toyplot.readthedocs.io/en/stable/tick-locators.html#explicit-locators the "proper" way of labeling categories in a bar chart? my x axis is categorical
@hannes - yep, that’s the way to do it. While you’re at it, don’t forget that you can use rich text in your labels.
hannes i would like to render some bigger matrix
If you find that you’re doing it a lot, you can also do
import toyplot.config
toyplot.config.autoformat = “png”to make it the default (at the top of your notebook, say).
good day, I'm working on a little side project to visualize graph traversal using adjacency matrix multiplication using GraphBLAS. What I was hoping for was a tip on how to put two plots side by side in toyplot. For example, here's a static image of the layout i'm looking for https://github.com/michelp/pggraphblas/raw/master/docs/AdjacencyMatrixBFS.svg?sanitize=true
The static image shows one "step" in a matrix x vector multiplication using a boolean semiring. In addition to discovering how to do that layout with toyplot (which looks very amazingly cool btw!) if anyone has a tip on how i can even possibly animate the process i do eventually hope to many that possible, but first things first, being able to layout a graph next to its adjacency matrix is my first step
I have the code that generates the graph and the matrix, i'm just not sure how to put them next to each other in the same cell (i'm using jupyter)
I'm moving along pretty nicely with my project, but have run into one issue, is it possible to dynamically assign edge labels to a graph? On the examples at https://toyplot.readthedocs.io/en/stable/graph-visualization.html#edge-rendering all the edge labels are the same static value, but i'd like to assign my labels per edge to correspond to the value in the equivalent adjacency matrix cell.
hannes i often want to use data from dictionaries with toyplot, eg .keys() as x and .items() as y axes. unfortunately this leads to "TypeError: float() argument must be a string or a number, not 'dict_keys'" from https://toyplot.readthedocs.io/en/stable/_modules/toyplot/require.html#scalar_array because numpy's conversion to an array does not like python's dict views or iterators
hannes i can wrap it into a list() call but that seems ugly
hannes no idea why numpy does not support those but i wonder if adding some logic to toyplot's scalar_array function would make sense for this usecase?
hannes ```
hannes Example of what I would love to use (in an explicite way):import toyplot
data = {1: 5, 2: 3, 3: 4}
canvas = toyplot.Canvas()
axes = canvas.cartesian()
mark = axes.plot(
data.keys(),
data.values(),
)hannes https://toyplot.readthedocs.io/en/stable/tutorial.html#scatterplots uses a shared x axis for a stacked plot, is there a way to make a "true" scatterplot of irregular data?
hannes i have unique x and y axes for each series
hannes just use the default until it does not do what you need
hannes posted an image: 
hannes hm, when using matplotlib, one can get an image in there from a script itself by calling plt.show()
hannes i guess that is a super magic command
hannes sad how bad the state of relaying between messaging services still is :(
btw last stupid question: is there the equivalent of the matplotlibrc file ? here I understand it would be a CSS file, but can't find the "default" style sheet. I would like to use it to learn how to create new CSS files (with specific axis color, grid dash lines for example) and call it for theming toyplot plots the way we can call matplotlib style sheets. thanks again
@egayer - you can display a canvas in a Jupyter Qt console directly. I’ve expanded the documention on rendering at https://toyplot.readthedocs.io/en/latest/rendering.html to cover this more explicitly.
There is no default style sheet for Toyplot, you have to make those changes in your code when you create figures.
hannes check https://toyplot.readthedocs.io/en/stable/rendering.html for options