Read proprietary format and export to CSV

This example illustrates how to read some proprietary format and export the resulting spectrum into an internal CSV format. The exported CSV can also be read using specio.specread().

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The SPC files will be search in: /home/docs/checkouts/readthedocs.org/user_builds/specio/checkouts/stable/examples/export/data/*.spc
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# Authors: Guillaume Lemaitre <guillaume.lemaire@inria.fr>
# License: BSD3

from __future__ import print_function

import os
import sys

import matplotlib.pyplot as plt

from specio import specread

print(__doc__)

# Get the path to the data relatively to this example
DATA_PATH = os.path.dirname(sys.argv[0])

spc_filenames = os.path.join(DATA_PATH, 'data', '*.spc')
print('The SPC files will be search in: {}'.format(spc_filenames))

# Read the data
spectra = specread(spc_filenames)

# Plot the first spectra
plt.figure()
plt.plot(spectra.wavelength,
         spectra.amplitudes.T)

# We get the axis information by using the meta data of the first file read.
plt.xlabel(spectra.meta[0]['xlabel'])
plt.ylabel(spectra.meta[0]['ylabel'])
plt.title('Spectra extracted from the SPC files')

# Export all spectrum into csv
spectra.to_csv('spectra.csv')

# We can open the exported file
spectra_csv = specread('spectra.csv')

# Plot the first spectra
plt.figure()
plt.plot(spectra_csv.wavelength,
         spectra_csv.amplitudes.T)

# We get the axis information by using the meta data of the first file read.
plt.xlabel('Amplitudes')
plt.ylabel('Wavelength')
plt.title('Spectra extracted from the CSV files')

plt.show()

Total running time of the script: ( 0 minutes 0.198 seconds)