figurex 0.1.4

Make figures with context managers in python: quicker, simpler, more readable.

Figurex

Make figures with context managers in python: quicker, simpler, more readable.

Idea

Tired of lengthy matplotlib code just for simple plotting?

# How plotting used to be
import matplotlib.pyplot as pyplot

fig, axes = plt.subplots(1,2, figsize=(4,5))
plt.set_title("My plot")
ax = axes[0]
ax.plot([1,2],[3,4])
ax = axes[1]
ax.plot([2,3],[4,5])
fig.savefig("file.png", bbox_inches='tight')
plt.show()

Beautify your daily work with shorter and more readable code:

# How plotting becomes with figurex
from figurex import Figure, Panel

with Figure("My plot", layout=(1,2), size=(4,5), save="file.png"):
    with Panel() as ax:
        ax.plot([1,2],[3,4])
    with Panel() as ax:
        ax.plot([2,3],[4,5])

It is just a wrapper around standard matplotlib code, extend it your way without limits!

Examples

Make a simple plot:

with Figure("A simple plot") as ax:
    ax.plot([1,2],[3,4])

A plot with two panels:

with Figure(layout=(1,2), size=(6,3)):
    with Panel("a) Magic") as ax:
        ax.plot([1,2],[3,4])
    with Panel("b) Reality", grid="") as ax:
        ax.plot([5,5],[6,4])

Save a plot into memory for later use (e.g. in FPDF):

with Figure("Tea party", save="memory") as memory:
    with Panel() as ax:
        ax.plot([5,5],[6,4])
memory
# <_io.BytesIO at 0x...>

Plotting maps:

from figurex import Basemap

with Figure(size=(3,3)):
    with Basemap("Germany", extent=(5,15,46,55), tiles="relief") as Map:
        x,y = Map(12.385, 51.331)
        Map.scatter(x, y,  marker="x", zorder=20, color="r", s=200, lw=2)

• Check out the Examples Notebook!

Related projects:

• A discussion on GitHub/matplotlib actually requested this feature long ago.
• The project GitHub/contextplt has implemented a similar concept.