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Using plot_multiple to plot several datasets on the same figure

In this example, we will display several Raman datasets on the same figure using the plot_multiple helper. Unlike multiplot, which creates a grid of panels, plot_multiple overlays several datasets on one shared axes. Several options are available to customize that overlay.

Import spectrochempy as usual

import os
from pathlib import Path

import spectrochempy as scp

Load and inspect the data

TEST_FILE = Path(os.environ.get("TEST_FILE", "ramandata/labspec/serie190214-1.txt"))
B1 = scp.read(TEST_FILE)

Basic plot with categorical colors (cmap=None):

_ = B1.plot(cmap=None, lw=1)

Preprocess: restrict and detrend

Restrict the region of interest (use floats for coordinate slicing):

B2 = B1[:, 60.0:]

Remove the drift with detrend:

B3 = scp.detrend(B2)
_ = B3.plot(cmap=None)

Select a subset of spectra for the overlay:

B4 = B3[:5]

_ = B4.plot(cmap=None)

Overlay spectra with plot_multiple

Unlike multiplot (which creates a grid of panels), plot_multiple overlays several 1D datasets on a shared axes. Here we use line rendering with a vertical shift for visual separation:

datasets = list(B4)
_ = scp.plot_multiple(
    datasets,
    method="pen",
    legend="best",
    labels=["A", "B", "C", "D", "E"],
    color=["black", "red", "green", "blue", "violet"],
    lw=[1, 2.5, 1, 1, 1],
    ls="-",
    shift=1000,
)

This ends the example ! The following line can be uncommented if no plot shows when running the .py script with python

# scp.show()