figurex 0.2.3

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

Figurex

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

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

Idea

Tired of lengthy matplotlib code just for simple plotting?

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

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])

The Figure() environment generates the matplotlib-based figure and axes for you, and automatically shows, saves, and closes the figure when leaving the context. It is just a wrapper around standard matplotlib code, you can use ax to modify the plot as you would normally do. 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", show=False):
    with Panel() as ax:
        ax.plot([5,5],[6,4])
my_figure = Figure.as_object()
# <_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", color="red", s=200)

• Check out the Examples Notebook!

Install

pip install figurex

Requirements

• Minimal requirements (basic plotting):
  • python >3.9
  • numpy
  • matplotlib
  • neatlogger (wrapper for loguru, logging)
• If you want to make geographic maps with figurex.cartopy:
  • cartopy
• If you want to make geographic maps with figurex.basemap:
  • basemap >1.4

Related

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