A key goal for the Toyplot team is to explore interactive features for plots, making them truly useful and embeddable, so that they become a ubiquitous part of every data graphic user’s experience. The following examples of interaction are just scratching the surface of what we have planned for Toyplot:
Most of the visualization types in Toyplot accept a
allowing you to specify per-series or per-datum titles for a figure.
With Toyplot’s preferred embeddable HTML output, those titles are
displayed via a popup when hovering over the data. For example, the
following figure has a global title “Employee Schedule”, which you
should see as a popup when you hover the mouse over any of the bars:
import numpy numpy.random.seed(1234) start = numpy.random.normal(loc=8, scale=1, size=20) end = numpy.random.normal(loc=16, scale=1, size=20) boundaries = numpy.column_stack((start, end)) title = "Employee Schedule"
import toyplot toyplot.bars(boundaries, baseline=None, title=title, width=500, height=300);
If your plot includes multiple series, you can assign a per-series title instead. Hover the mouse over both series in the following plot to see “Morning Schedule” and “Afternoon Schedule”:
lunch = numpy.random.normal(loc=12, scale=0.5, size=20) boundaries = numpy.column_stack((start, lunch, end)) title = ["Morning Schedule", "Afternoon Schedule"] toyplot.bars(boundaries, baseline=None, title=title, width=500, height=300);
Finally, you can assign a title for every datum:
title = numpy.column_stack(( ["Employee %s Morning" % i for i in range(20)], ["Employee %s Afternoon" % i for i in range(20)] )) toyplot.bars(boundaries, baseline=None, title=title, width=500, height=300);
Of course, the title attribute works with all types of visualizations.
When you click or tap the above figures, you should also see the domain values for the point you chose displayed along each of the axes. If you wish to disable display of either or both of the values, you can do so using the individual axes:
canvas, axes, mark = toyplot.bars(boundaries, baseline=None, title=title, width=500, height=300) axes.x.interactive.coordinates.show = False axes.y.interactive.coordinates.show = False
Now when you click or tap, nothing happens.
If you right-click the mouse over any of the above plots, a small popup menu will appear, giving you the option to “Save as .csv”. If you choose that option, the raw data from the plot will be extracted in CSV format and you can save it.
Note that different browsers, browser versions, and platforms will behave differently when extracting the file:
- Safari on OSX will open the file in a separate tab, which you can
save to disk using
File > Save As.
- Chrome on OSX will immediately open a file dialog, prompting you to save the file.
- Firefox on OSX will prompt you to open the file with Microsoft Excel (if installed), or save it to disk.
Note that, on the browsers that support it, the default filename for the
saved data is
toyplot.csv. You can override this default on a
per-data-table basis by specifying the filename when you create your
figure. For example, when exporting data from the following figure
(again, for browsers that support setting a default filename), the
filename will default to
toyplot.bars(boundaries, baseline=None, filename="employee-schedules", title=title, width=500, height=300);
Note that the filename you specify should not include a file extension, as the file extension is added for you (and other file formats may become available in the future).