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Choose an explicit plot type for a 2D IR dataset

This example compares a few explicit plotting methods available for the same infrared dataset.

import os
from pathlib import Path

import spectrochempy as scp

Load and prepare the dataset

TEST_FILE = Path(os.environ.get("TEST_FILE", "irdata/nh4y-activation.spg"))
dataset = scp.read(TEST_FILE)
dataset = dataset[:, 4000.0:650.0]
dataset.y -= dataset.y[0]
dataset.y.ito("hour")
dataset.y.title = "Time on stream"
dataset[:, 1290.0:920.0] = scp.MASKED

prefs = scp.preferences
prefs.figure.figsize = (7, 4)

Single-spectrum line plot

single = dataset[0]
_ = single.plot()

2D dataset plots

Explicit methods make the intended representation clear:

_ = dataset.plot_lines()
_ = dataset.plot_image(colorbar=True)
_ = dataset.plot_contour(colorbar=True)

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Customize plot options

_ = dataset.plot_image(
    cmap="plasma",
    xlim=(2000, 1300),
    ylim=(1, 5),
    colorbar=True,
)

This ends the example. Uncomment the next line to display the figures when running the script directly with Python.

# scp.show()