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# Sphinx build info version 1 | ||
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. | ||
config: 5b7b2bbb514d64fa635096b242d1cec4 | ||
config: 1f805ab17dcbbe3620e7a2dd86b79d24 | ||
tags: 645f666f9bcd5a90fca523b33c5a78b7 |
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Welcome to RamPy's documentation! | ||
================================= | ||
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Copyright (2015-2021) C. Le Losq and co. | ||
Copyright (2015-2024) C. Le Losq and co. | ||
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Charles Le Losq, Institut de physique du globe de Paris, University of Paris | ||
[email protected] | ||
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preprocessing | ||
peakfitting | ||
machinelearning | ||
maps | ||
rampy |
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Maps | ||
==== | ||
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Rampy offers the possiblity to analyse maps from Raman spectrometers. | ||
Rampy offers the possiblity to analyse maps from Raman spectrometers using the ``rampy.maps`` module. | ||
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In the following, we assume you already performed library importation as | ||
Line and 2D Maps saved in CSV or TXT format from Horiba and Renishaw spectrometers can be loaded, and various data treatments can be performed afterwards. | ||
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.. code-block:: python | ||
# importing rampy | ||
import rampy as rp | ||
# and for numpy we will respect the usual name: | ||
import numpy as np | ||
# for matplotlib | ||
import matplotlib.pyplot as plt | ||
IN CONSTRUCTION | ||
An Jupyter notebook example of processing a map of Raman spectra is `provided here <https://github.com/charlesll/rampy/blob/master/examples/Maps_example.ipynb>`_. |
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