I am attempting to take a .dat file of about 90,000 data lines of two variables (wavelength and intensity) and apply a sklearn.pca filter to it.
Here is a small set of that data:
wavelength intensity
[um] [W/m**2/um/sr]
196.078431372549 1.108370393265022E-003
192.307692307692 1.163428008597600E-003
188.679245283019 1.223639983609668E-003
The code I am using for this single data set is as follows:
pca= PCA(n_components=2)
pca.fit(data)
print(pca.components_)
The error code I get is this when I try to apply 2 pca components to one of the data sets:
ValueError: Datatype coercion is not allowed
Any help resolving would be much appreciated
