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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 Processing a single Spectrum
Specdal provides readers which loads [.asd, .sig, .sed] files into a common Spectrum object.
Step1:  The print output shows the four components of the Spectrum object. For example, we can access the measurements as follows.
Step2:  Spectrum object provides several methods for processing the measurements. Let's start by linearly resampling to the nearest integer (nm) wavelengths.
Step3:  We can visualize the spectrum using pyplot. spectrum.plot is just a wrapper around spectrum.measurements.plot, so you can pass any arguments for plotting pandas.Series objects.
Step4:  There are folds in the spectrum near 1000 and 1900 wavelengths. This happens because the three bands in the spectrometer has overlapping wavelengths. We can fix this using the stitch method of the Spectrum class.
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Python Code:
s = specdal.Spectrum(filepath="/home/young/data/specdal/aidan_data/SVC/ACPA_F_B_SU_20160617_003.sig")
print(s)
Explanation: Processing a single Spectrum
Specdal provides readers which loads [.asd, .sig, .sed] files into a common Spectrum object.
End of explanation
print(type(s.measurement))
print(s.measurement.head())
Explanation: The print output shows the four components of the Spectrum object. For example, we can access the measurements as follows.
End of explanation
s.interpolate(method='linear')
print(s.measurement.head())
Explanation: Spectrum object provides several methods for processing the measurements. Let's start by linearly resampling to the nearest integer (nm) wavelengths.
End of explanation
s.plot()
plt.show()
Explanation: We can visualize the spectrum using pyplot. spectrum.plot is just a wrapper around spectrum.measurements.plot, so you can pass any arguments for plotting pandas.Series objects.
End of explanation
s.stitch(method='mean')
s.plot()
plt.show()
Explanation: There are folds in the spectrum near 1000 and 1900 wavelengths. This happens because the three bands in the spectrometer has overlapping wavelengths. We can fix this using the stitch method of the Spectrum class.
End of explanation
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