Concatenate

[valentinavan]

Hi,

I am trying to concatenate a serie of NDDataset using all_spectra = scp.concatenate(nds_list, axis='y') however it is impossible to track the order of the original NDDataset inside all_spectra unless i compare each single plot manually.
I have tried multiple options to make it work but I was not successful:

for var_name in dir():
    # Check if the variable matches the pattern "s\d+"
    if re.match(r's\d+', var_name):
        nd_dataset = globals()[var_name]
        nd_dataset.x.title = f"{var_name.replace('_c', '')}"

I have tried with nd_dataset.name = f"{var_name.replace('_c', '')}" or nd_dataset.dlabel= f"{var_name.replace('_c', '')}" etc..but then when I concatenate it names all the individual NDDataset in all_spectra with the same name (the first or the last in nds_list)

How can I concatenate maintaining the name of each NDDataset so that I know which spectra is which?

Thanks

[atravert]

Hi @valentinavan ,

Thank you for your message. To indentify the individual spectra, you can use the label property, for instance:

all_spectra = scp.concatenate([ds1, ds2], axis='y')
for spectrum_labels in ds1.y.labels:
    print(spectrum_labels)
print('---')
for spectrum_labels in s2.y.labels:
    print(spectrum_labels)
print('---')
for spectrum_labels in all_spectra.y.labels:
    print(lspectrum_labels)

The concatenation preserves the original order of the spectra, i.e. the first spectrum of all_spectra is the first spectrum of ds1 and the last spectrum of all_spectra is the last of ds2.

Note also that the labels attribute is protected, so that:

s1.y.labels = [f"spectrum #{i}" for i in range(s1.shape[0])]

will add new labels to the existing ones,

s1.y._labels = [f"spectrum {i}" for i in range(s1.shape[0])]

will replace the existing labels by the new ones,

I hope this helps. Let us know if this answers your question,

Best