Plot Stuff

There are a variety of ways you can create plots in tiles or notebooks. Any way you can convert a plot to html you can display it.

Converting matplotlib plots to html

As described in Matplotlib widgets you can use a matplotlib widget.

w = self.widget("matplotlib")
ax = w.fig.add_subplot(111)
ax.plot([1, 2, 3], [16, 25, 36])
w.set_html()

Then render the widget either with return [w.render()] in a tile or w.show() in a notebook.

Tactic also provides some tile commands that make it easy to convert any matplotlib figure to html. You can use create_figure_html to convert a matplotlib figure to html.

from matplotlib.figure import Figure
afig = Figure()
ax = afig.add_subplot(111)
ax.plot([1, 2, 3], [16, 25, 36])
self.create_figure_html(afig)

If you use matplotlib.pybplot to work in interactive mode, you can use create_pyplot_html to convert your plot to html

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [16, 25, 36])
self.create_pyplot_html()

Matplotlib Tiles

If you create a tile with New ‣ Matplotlib Tile, you’ll get a tile created with a template that is set up to display a matplotlib plot. It has a method called draw_plot that handles all of the drawing and returns the rendered widget. It also has a handle_size_change that draw_plot is called from, so that the plot will be redrawn when the tile is resized. This is generally a good pattern for creating plots in tiles.

Dark Theme

Matplotlib tiles can look ugly if you’re using the Tactic dark theme. If, like me, you are bothered by such things, you can write your tile so that it automagically uses different colors depending on the theme. I’ve created a matplotlib style called “tactic_dark” that is specifically designed for the Tactic dark theme.

import matplotlib.pyplot as plt
use_dark = Settings["theme"] == "dark"
if use_dark:
    plt.style.use('tactic_dark')
else:
    plt.style.use('default')