Saving Plots#

notata supports saving plots as artifacts, using either the active matplotlib figure or a given one. Saved plots are written to the plots/ directory inside each run.

Basic Plot Saving#

If you’re already plotting with matplotlib, saving a figure is one line:

import matplotlib.pyplot as plt
from notata import Logbook

with Logbook("plot_test") as log:
    x = [0.1 * i for i in range(100)]
    y = [xi**2 for xi in x]

    plt.plot(x, y)
    plt.xlabel("x")
    plt.ylabel("x squared")
    plt.title("Quadratic Function")

    log.plot("quadratic")

This creates:

log_plot_test/
  plots/
    quadratic.png

Multiple Formats#

You can save the same figure in multiple formats (e.g. PNG + PDF):

log.plot("quadratic", formats=["png", "pdf", "svg"])

The files will be:

plots/
  quadratic.png
  quadratic.pdf
  quadratic.svg

Saving a Specific Figure Object#

If you create and manage Figure objects manually:

fig, ax = plt.subplots()
ax.plot(x, y)
log.plot("explicit_fig", fig=fig)

Controlling DPI#

You can control raster output resolution with the dpi argument:

log.plot("hires", dpi=300)

Organizing Plots#

All plots are saved inside the plots/ subdirectory by default. To create structure, you can include folder-like prefixes in the plot name itself:

log.plot("summaries/overview")

This will result in:

plots/
  summaries/
    overview.png

Saving Plots

Contents