In [61]:
plt.plot(pos_list,interpolated_spectra.iloc[0][:2550])
plt.show()
import os
import urllib
import csv
from concurrent.futures import ThreadPoolExecutor, wait, ALL_COMPLETED
from astropy.io import fits
import matplotlib.pyplot as plt
import itertools
import pandas as pd
def download(url,to_dir,filename):
fdir = to_dir + filename.split('/')[-1]
print('start downloading %s'%url)
urllib.request.urlretrieve(url, filename=fdir)
print('finish downloading %s'%url)
# download_list = 'star.csv'
# download_list = 'galaxy.csv'
download_list = 'qso.csv'
# to_dir = './LAMOST_spectra/star/'
# to_dir = './LAMOST_spectra/galaxy/'
to_dir = './LAMOST_spectra/qso/'
url_reader = itertools.islice(csv.DictReader(open(download_list),delimiter='|'),2000)
filenames = [row['obsfits_file'].split('/')[-1] for row in url_reader]
print(filenames)
['spec-57755-GAC085S03M1_sp03-181.fits.gz', 'spec-57755-HD093318N282204M02_sp02-107.fits.gz', 'spec-57755-HD093318N282204M02_sp02-169.fits.gz', 'spec-57755-HD093318N282204M02_sp02-181.fits.gz', 'spec-57755-HD093318N282204M02_sp02-215.fits.gz', 'spec-57755-HD093318N282204M02_sp12-053.fits.gz', 'spec-57755-HD093318N282204M02_sp12-099.fits.gz', 'spec-57755-HD093318N282204M02_sp12-115.fits.gz', 'spec-57755-HD093318N282204M02_sp12-143.fits.gz', 'spec-57755-HD093318N282204M02_sp12-158.fits.gz', 'spec-57755-HD093318N282204M02_sp12-195.fits.gz', 'spec-57755-HD093318N282204M02_sp12-247.fits.gz', 'spec-57755-HD093318N282204M02_sp01-041.fits.gz', 'spec-57755-HD093318N282204M02_sp01-029.fits.gz', 'spec-57755-HD093318N282204M02_sp01-066.fits.gz', 'spec-57755-HD093318N282204M02_sp13-018.fits.gz', 'spec-57755-HD093318N282204M02_sp13-035.fits.gz', 'spec-57755-HD093318N282204M02_sp13-073.fits.gz', 'spec-57755-HD093318N282204M02_sp13-177.fits.gz', 'spec-57755-HD093318N282204M02_sp13-192.fits.gz', 'spec-57755-HD093318N282204M02_sp13-200.fits.gz', 'spec-57755-HD093318N282204M02_sp13-203.fits.gz', 'spec-57755-HD093318N282204M02_sp13-213.fits.gz', 'spec-57755-HD093318N282204M02_sp16-160.fits.gz', 'spec-57755-HD093318N282204M02_sp16-168.fits.gz', 'spec-57755-HD093318N282204M02_sp15-025.fits.gz', 'spec-57755-HD093318N282204M02_sp15-133.fits.gz', 'spec-57755-HD093318N282204M02_sp15-171.fits.gz', 'spec-57755-HD093318N282204M02_sp15-181.fits.gz', 'spec-57755-HD093318N282204M02_sp15-209.fits.gz', 'spec-57755-HD093318N282204M02_sp14-034.fits.gz', 'spec-57755-HD093318N282204M02_sp14-035.fits.gz', 'spec-57755-HD093318N282204M02_sp14-188.fits.gz', 'spec-57755-HD093318N282204M02_sp01-080.fits.gz', 'spec-57755-HD093318N282204M02_sp11-017.fits.gz', 'spec-57755-HD093318N282204M02_sp11-029.fits.gz', 'spec-57755-HD093318N282204M02_sp11-032.fits.gz', 'spec-57755-HD093318N282204M02_sp11-047.fits.gz', 'spec-57755-HD093318N282204M02_sp11-063.fits.gz', 'spec-57755-HD093318N282204M02_sp11-117.fits.gz', 'spec-57755-HD093318N282204M02_sp11-128.fits.gz', 'spec-57755-HD093318N282204M02_sp16-192.fits.gz', 'spec-57755-HD093318N282204M02_sp11-180.fits.gz', 'spec-57755-HD093318N282204M02_sp11-190.fits.gz', 'spec-57755-HD093318N282204M02_sp11-224.fits.gz', 'spec-57755-HD093318N282204M02_sp08-033.fits.gz', 'spec-57755-HD093318N282204M02_sp01-100.fits.gz', 'spec-57755-HD093318N282204M02_sp01-176.fits.gz', 'spec-57755-HD093318N282204M02_sp07-006.fits.gz', 'spec-57755-HD093318N282204M02_sp07-007.fits.gz', 'spec-57755-HD093318N282204M02_sp07-027.fits.gz', 'spec-57755-HD093318N282204M02_sp07-046.fits.gz', 'spec-57755-HD093318N282204M02_sp07-057.fits.gz', 'spec-57755-HD093318N282204M02_sp07-068.fits.gz', 'spec-57755-HD093318N282204M02_sp07-093.fits.gz', 'spec-57755-HD093318N282204M02_sp07-102.fits.gz', 'spec-57755-HD093318N282204M02_sp07-106.fits.gz', 'spec-57755-HD093318N282204M02_sp07-117.fits.gz', 'spec-57755-HD093318N282204M02_sp07-118.fits.gz', 'spec-57755-HD093318N282204M02_sp07-119.fits.gz', 'spec-57755-HD093318N282204M02_sp07-120.fits.gz', 'spec-57755-HD093318N282204M02_sp07-153.fits.gz', 'spec-57755-HD093318N282204M02_sp07-204.fits.gz', 'spec-57755-HD093318N282204M02_sp07-249.fits.gz', 'spec-57755-HD093318N282204M02_sp05-030.fits.gz', 'spec-57755-HD093318N282204M02_sp05-035.fits.gz', 'spec-57755-HD093318N282204M02_sp05-060.fits.gz', 'spec-57755-HD093318N282204M02_sp05-142.fits.gz', 'spec-57755-HD093318N282204M02_sp05-166.fits.gz', 'spec-57755-HD093318N282204M02_sp05-246.fits.gz', 'spec-57755-HD093318N282204M02_sp16-031.fits.gz', 'spec-57755-HD093318N282204M02_sp16-054.fits.gz', 'spec-57755-HD093318N282204M02_sp16-127.fits.gz', 'spec-57755-HD093318N282204M02_sp09-050.fits.gz', 'spec-57755-HD093318N282204M02_sp16-187.fits.gz', 'spec-57755-HD093318N282204M02_sp09-019.fits.gz', 'spec-57755-HD093318N282204M02_sp08-062.fits.gz', 'spec-57755-HD093318N282204M02_sp09-069.fits.gz', 'spec-57755-HD093318N282204M02_sp01-005.fits.gz', 'spec-57755-HD093318N282204M02_sp09-085.fits.gz', 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url_reader = itertools.islice(csv.DictReader(open(download_list),delimiter='|'),2000)
urls = ['http://dr5.lamost.org/v3/spectrum/fits/'+ row['catalogue_obsid'] for row in url_reader]
print(urls)
['http://dr5.lamost.org/v3/spectrum/fits/505303181', 'http://dr5.lamost.org/v3/spectrum/fits/505402107', 'http://dr5.lamost.org/v3/spectrum/fits/505402169', 'http://dr5.lamost.org/v3/spectrum/fits/505402181', 'http://dr5.lamost.org/v3/spectrum/fits/505402215', 'http://dr5.lamost.org/v3/spectrum/fits/505412053', 'http://dr5.lamost.org/v3/spectrum/fits/505412099', 'http://dr5.lamost.org/v3/spectrum/fits/505412115', 'http://dr5.lamost.org/v3/spectrum/fits/505412143', 'http://dr5.lamost.org/v3/spectrum/fits/505412158', 'http://dr5.lamost.org/v3/spectrum/fits/505412195', 'http://dr5.lamost.org/v3/spectrum/fits/505412247', 'http://dr5.lamost.org/v3/spectrum/fits/505401041', 'http://dr5.lamost.org/v3/spectrum/fits/505401029', 'http://dr5.lamost.org/v3/spectrum/fits/505401066', 'http://dr5.lamost.org/v3/spectrum/fits/505413018', 'http://dr5.lamost.org/v3/spectrum/fits/505413035', 'http://dr5.lamost.org/v3/spectrum/fits/505413073', 'http://dr5.lamost.org/v3/spectrum/fits/505413177', 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'http://dr5.lamost.org/v3/spectrum/fits/546714020', 'http://dr5.lamost.org/v3/spectrum/fits/546714087', 'http://dr5.lamost.org/v3/spectrum/fits/546714173', 'http://dr5.lamost.org/v3/spectrum/fits/546714182', 'http://dr5.lamost.org/v3/spectrum/fits/546714208', 'http://dr5.lamost.org/v3/spectrum/fits/546708039', 'http://dr5.lamost.org/v3/spectrum/fits/546708094', 'http://dr5.lamost.org/v3/spectrum/fits/546708192', 'http://dr5.lamost.org/v3/spectrum/fits/546708203', 'http://dr5.lamost.org/v3/spectrum/fits/546708208', 'http://dr5.lamost.org/v3/spectrum/fits/546715002', 'http://dr5.lamost.org/v3/spectrum/fits/546715070', 'http://dr5.lamost.org/v3/spectrum/fits/546715146', 'http://dr5.lamost.org/v3/spectrum/fits/546704088', 'http://dr5.lamost.org/v3/spectrum/fits/546704153', 'http://dr5.lamost.org/v3/spectrum/fits/546704201', 'http://dr5.lamost.org/v3/spectrum/fits/546703066', 'http://dr5.lamost.org/v3/spectrum/fits/546703173', 'http://dr5.lamost.org/v3/spectrum/fits/546703192', 'http://dr5.lamost.org/v3/spectrum/fits/546709005', 'http://dr5.lamost.org/v3/spectrum/fits/546709149', 'http://dr5.lamost.org/v3/spectrum/fits/546709167', 'http://dr5.lamost.org/v3/spectrum/fits/546315134', 'http://dr5.lamost.org/v3/spectrum/fits/546308030', 'http://dr5.lamost.org/v3/spectrum/fits/546305120', 'http://dr5.lamost.org/v3/spectrum/fits/546308072', 'http://dr5.lamost.org/v3/spectrum/fits/546311048', 'http://dr5.lamost.org/v3/spectrum/fits/546311235', 'http://dr5.lamost.org/v3/spectrum/fits/546309062', 'http://dr5.lamost.org/v3/spectrum/fits/546301040', 'http://dr5.lamost.org/v3/spectrum/fits/546310101', 'http://dr5.lamost.org/v3/spectrum/fits/546308211', 'http://dr5.lamost.org/v3/spectrum/fits/546309038', 'http://dr5.lamost.org/v3/spectrum/fits/546308013', 'http://dr5.lamost.org/v3/spectrum/fits/546305202', 'http://dr5.lamost.org/v3/spectrum/fits/546306088', 'http://dr5.lamost.org/v3/spectrum/fits/546313177', 'http://dr5.lamost.org/v3/spectrum/fits/546311145', 'http://dr5.lamost.org/v3/spectrum/fits/546311006', 'http://dr5.lamost.org/v3/spectrum/fits/546316247', 'http://dr5.lamost.org/v3/spectrum/fits/546302230', 'http://dr5.lamost.org/v3/spectrum/fits/546308216', 'http://dr5.lamost.org/v3/spectrum/fits/546312204', 'http://dr5.lamost.org/v3/spectrum/fits/546307188', 'http://dr5.lamost.org/v3/spectrum/fits/546502149', 'http://dr5.lamost.org/v3/spectrum/fits/546513139', 'http://dr5.lamost.org/v3/spectrum/fits/546511243', 'http://dr5.lamost.org/v3/spectrum/fits/546502208', 'http://dr5.lamost.org/v3/spectrum/fits/546502230', 'http://dr5.lamost.org/v3/spectrum/fits/546513163', 'http://dr5.lamost.org/v3/spectrum/fits/546502155', 'http://dr5.lamost.org/v3/spectrum/fits/546513218', 'http://dr5.lamost.org/v3/spectrum/fits/546513224', 'http://dr5.lamost.org/v3/spectrum/fits/546502193', 'http://dr5.lamost.org/v3/spectrum/fits/546502170', 'http://dr5.lamost.org/v3/spectrum/fits/546502229', 'http://dr5.lamost.org/v3/spectrum/fits/546513248', 'http://dr5.lamost.org/v3/spectrum/fits/546502202', 'http://dr5.lamost.org/v3/spectrum/fits/546513190', 'http://dr5.lamost.org/v3/spectrum/fits/546502107', 'http://dr5.lamost.org/v3/spectrum/fits/546513145', 'http://dr5.lamost.org/v3/spectrum/fits/546513136', 'http://dr5.lamost.org/v3/spectrum/fits/546504145', 'http://dr5.lamost.org/v3/spectrum/fits/546504101', 'http://dr5.lamost.org/v3/spectrum/fits/546504062', 'http://dr5.lamost.org/v3/spectrum/fits/546504067', 'http://dr5.lamost.org/v3/spectrum/fits/546504073', 'http://dr5.lamost.org/v3/spectrum/fits/546516152', 'http://dr5.lamost.org/v3/spectrum/fits/546504205', 'http://dr5.lamost.org/v3/spectrum/fits/546510172', 'http://dr5.lamost.org/v3/spectrum/fits/546504219', 'http://dr5.lamost.org/v3/spectrum/fits/546504094', 'http://dr5.lamost.org/v3/spectrum/fits/546504197', 'http://dr5.lamost.org/v3/spectrum/fits/546513164', 'http://dr5.lamost.org/v3/spectrum/fits/546504185', 'http://dr5.lamost.org/v3/spectrum/fits/546511160', 'http://dr5.lamost.org/v3/spectrum/fits/546513246', 'http://dr5.lamost.org/v3/spectrum/fits/546504119', 'http://dr5.lamost.org/v3/spectrum/fits/546510202', 'http://dr5.lamost.org/v3/spectrum/fits/546513117', 'http://dr5.lamost.org/v3/spectrum/fits/546510165', 'http://dr5.lamost.org/v3/spectrum/fits/546504123', 'http://dr5.lamost.org/v3/spectrum/fits/546504191', 'http://dr5.lamost.org/v3/spectrum/fits/546504133', 'http://dr5.lamost.org/v3/spectrum/fits/546511079', 'http://dr5.lamost.org/v3/spectrum/fits/546511130', 'http://dr5.lamost.org/v3/spectrum/fits/546511232', 'http://dr5.lamost.org/v3/spectrum/fits/546510155', 'http://dr5.lamost.org/v3/spectrum/fits/546511029', 'http://dr5.lamost.org/v3/spectrum/fits/546510195', 'http://dr5.lamost.org/v3/spectrum/fits/546516234', 'http://dr5.lamost.org/v3/spectrum/fits/546510115', 'http://dr5.lamost.org/v3/spectrum/fits/546513156', 'http://dr5.lamost.org/v3/spectrum/fits/546510157', 'http://dr5.lamost.org/v3/spectrum/fits/546511230', 'http://dr5.lamost.org/v3/spectrum/fits/546513240', 'http://dr5.lamost.org/v3/spectrum/fits/546504175', 'http://dr5.lamost.org/v3/spectrum/fits/546502205', 'http://dr5.lamost.org/v3/spectrum/fits/546502075', 'http://dr5.lamost.org/v3/spectrum/fits/546511245', 'http://dr5.lamost.org/v3/spectrum/fits/546513084', 'http://dr5.lamost.org/v3/spectrum/fits/546513138', 'http://dr5.lamost.org/v3/spectrum/fits/546513132', 'http://dr5.lamost.org/v3/spectrum/fits/546502217', 'http://dr5.lamost.org/v3/spectrum/fits/546513226', 'http://dr5.lamost.org/v3/spectrum/fits/546504059', 'http://dr5.lamost.org/v3/spectrum/fits/546504202', 'http://dr5.lamost.org/v3/spectrum/fits/546504058', 'http://dr5.lamost.org/v3/spectrum/fits/546510167', 'http://dr5.lamost.org/v3/spectrum/fits/546510013', 'http://dr5.lamost.org/v3/spectrum/fits/546511111', 'http://dr5.lamost.org/v3/spectrum/fits/546504070', 'http://dr5.lamost.org/v3/spectrum/fits/546513232', 'http://dr5.lamost.org/v3/spectrum/fits/546510099', 'http://dr5.lamost.org/v3/spectrum/fits/546513061', 'http://dr5.lamost.org/v3/spectrum/fits/546513058', 'http://dr5.lamost.org/v3/spectrum/fits/546502058', 'http://dr5.lamost.org/v3/spectrum/fits/546502055', 'http://dr5.lamost.org/v3/spectrum/fits/546513050', 'http://dr5.lamost.org/v3/spectrum/fits/546511072', 'http://dr5.lamost.org/v3/spectrum/fits/546511018', 'http://dr5.lamost.org/v3/spectrum/fits/546507009', 'http://dr5.lamost.org/v3/spectrum/fits/546507008', 'http://dr5.lamost.org/v3/spectrum/fits/546507007', 'http://dr5.lamost.org/v3/spectrum/fits/546507004', 'http://dr5.lamost.org/v3/spectrum/fits/546504014', 'http://dr5.lamost.org/v3/spectrum/fits/546504105', 'http://dr5.lamost.org/v3/spectrum/fits/546504139', 'http://dr5.lamost.org/v3/spectrum/fits/546504054', 'http://dr5.lamost.org/v3/spectrum/fits/546507027', 'http://dr5.lamost.org/v3/spectrum/fits/546513001', 'http://dr5.lamost.org/v3/spectrum/fits/546504229', 'http://dr5.lamost.org/v3/spectrum/fits/546504231', 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'http://dr5.lamost.org/v3/spectrum/fits/546516133', 'http://dr5.lamost.org/v3/spectrum/fits/546516137', 'http://dr5.lamost.org/v3/spectrum/fits/546516141', 'http://dr5.lamost.org/v3/spectrum/fits/546516148', 'http://dr5.lamost.org/v3/spectrum/fits/546516149', 'http://dr5.lamost.org/v3/spectrum/fits/546516175', 'http://dr5.lamost.org/v3/spectrum/fits/546516181', 'http://dr5.lamost.org/v3/spectrum/fits/546516183', 'http://dr5.lamost.org/v3/spectrum/fits/546516194', 'http://dr5.lamost.org/v3/spectrum/fits/546606216', 'http://dr5.lamost.org/v3/spectrum/fits/546616213', 'http://dr5.lamost.org/v3/spectrum/fits/546601010', 'http://dr5.lamost.org/v3/spectrum/fits/546616148', 'http://dr5.lamost.org/v3/spectrum/fits/546616210', 'http://dr5.lamost.org/v3/spectrum/fits/546601020', 'http://dr5.lamost.org/v3/spectrum/fits/546601141', 'http://dr5.lamost.org/v3/spectrum/fits/546601119', 'http://dr5.lamost.org/v3/spectrum/fits/546606070', 'http://dr5.lamost.org/v3/spectrum/fits/546601143', 'http://dr5.lamost.org/v3/spectrum/fits/546606063', 'http://dr5.lamost.org/v3/spectrum/fits/546606043', 'http://dr5.lamost.org/v3/spectrum/fits/546606032', 'http://dr5.lamost.org/v3/spectrum/fits/546606017', 'http://dr5.lamost.org/v3/spectrum/fits/546601116', 'http://dr5.lamost.org/v3/spectrum/fits/546601247', 'http://dr5.lamost.org/v3/spectrum/fits/546607114', 'http://dr5.lamost.org/v3/spectrum/fits/546607111', 'http://dr5.lamost.org/v3/spectrum/fits/546607060', 'http://dr5.lamost.org/v3/spectrum/fits/546607028', 'http://dr5.lamost.org/v3/spectrum/fits/546607236', 'http://dr5.lamost.org/v3/spectrum/fits/546607250', 'http://dr5.lamost.org/v3/spectrum/fits/546911147', 'http://dr5.lamost.org/v3/spectrum/fits/546905022', 'http://dr5.lamost.org/v3/spectrum/fits/546905092', 'http://dr5.lamost.org/v3/spectrum/fits/547016024', 'http://dr5.lamost.org/v3/spectrum/fits/547012001', 'http://dr5.lamost.org/v3/spectrum/fits/547012003', 'http://dr5.lamost.org/v3/spectrum/fits/547012012', 'http://dr5.lamost.org/v3/spectrum/fits/547012021', 'http://dr5.lamost.org/v3/spectrum/fits/547012054', 'http://dr5.lamost.org/v3/spectrum/fits/547012061', 'http://dr5.lamost.org/v3/spectrum/fits/547012065', 'http://dr5.lamost.org/v3/spectrum/fits/547012070', 'http://dr5.lamost.org/v3/spectrum/fits/547012073', 'http://dr5.lamost.org/v3/spectrum/fits/547012074', 'http://dr5.lamost.org/v3/spectrum/fits/547012081', 'http://dr5.lamost.org/v3/spectrum/fits/547012089', 'http://dr5.lamost.org/v3/spectrum/fits/547012112', 'http://dr5.lamost.org/v3/spectrum/fits/547012118', 'http://dr5.lamost.org/v3/spectrum/fits/547012120', 'http://dr5.lamost.org/v3/spectrum/fits/547012142', 'http://dr5.lamost.org/v3/spectrum/fits/547012150', 'http://dr5.lamost.org/v3/spectrum/fits/547012170', 'http://dr5.lamost.org/v3/spectrum/fits/547012181', 'http://dr5.lamost.org/v3/spectrum/fits/547012227', 'http://dr5.lamost.org/v3/spectrum/fits/547012236', 'http://dr5.lamost.org/v3/spectrum/fits/547013013', 'http://dr5.lamost.org/v3/spectrum/fits/547013027', 'http://dr5.lamost.org/v3/spectrum/fits/547013063', 'http://dr5.lamost.org/v3/spectrum/fits/547013066', 'http://dr5.lamost.org/v3/spectrum/fits/547013068', 'http://dr5.lamost.org/v3/spectrum/fits/547013076', 'http://dr5.lamost.org/v3/spectrum/fits/547013077', 'http://dr5.lamost.org/v3/spectrum/fits/547013094', 'http://dr5.lamost.org/v3/spectrum/fits/547013095', 'http://dr5.lamost.org/v3/spectrum/fits/547013116', 'http://dr5.lamost.org/v3/spectrum/fits/547013133', 'http://dr5.lamost.org/v3/spectrum/fits/547013145', 'http://dr5.lamost.org/v3/spectrum/fits/547013153', 'http://dr5.lamost.org/v3/spectrum/fits/547013164', 'http://dr5.lamost.org/v3/spectrum/fits/547013184', 'http://dr5.lamost.org/v3/spectrum/fits/547013189', 'http://dr5.lamost.org/v3/spectrum/fits/547013196', 'http://dr5.lamost.org/v3/spectrum/fits/547013199', 'http://dr5.lamost.org/v3/spectrum/fits/547013200', 'http://dr5.lamost.org/v3/spectrum/fits/547013206', 'http://dr5.lamost.org/v3/spectrum/fits/547013208', 'http://dr5.lamost.org/v3/spectrum/fits/547013212', 'http://dr5.lamost.org/v3/spectrum/fits/547013223']
for (url,filename) in zip(urls[:2000],filenames[:2000]):
download(url,to_dir,filename)
start downloading http://dr5.lamost.org/v3/spectrum/fits/527003174 finish downloading http://dr5.lamost.org/v3/spectrum/fits/527003174 start downloading http://dr5.lamost.org/v3/spectrum/fits/527003181 finish downloading http://dr5.lamost.org/v3/spectrum/fits/527003181 start downloading http://dr5.lamost.org/v3/spectrum/fits/527003191 finish downloading http://dr5.lamost.org/v3/spectrum/fits/527003191 start downloading http://dr5.lamost.org/v3/spectrum/fits/527003231 finish downloading http://dr5.lamost.org/v3/spectrum/fits/527003231 start downloading http://dr5.lamost.org/v3/spectrum/fits/527003249 finish downloading http://dr5.lamost.org/v3/spectrum/fits/527003249 start downloading http://dr5.lamost.org/v3/spectrum/fits/527010014 finish downloading http://dr5.lamost.org/v3/spectrum/fits/527010014 start downloading http://dr5.lamost.org/v3/spectrum/fits/527010048 finish downloading http://dr5.lamost.org/v3/spectrum/fits/527010048 start downloading 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http://dr5.lamost.org/v3/spectrum/fits/546601141 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546601141 start downloading http://dr5.lamost.org/v3/spectrum/fits/546601119 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546601119 start downloading http://dr5.lamost.org/v3/spectrum/fits/546606070 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546606070 start downloading http://dr5.lamost.org/v3/spectrum/fits/546601143 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546601143 start downloading http://dr5.lamost.org/v3/spectrum/fits/546606063 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546606063 start downloading http://dr5.lamost.org/v3/spectrum/fits/546606043 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546606043 start downloading http://dr5.lamost.org/v3/spectrum/fits/546606032 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546606032 start downloading http://dr5.lamost.org/v3/spectrum/fits/546606017 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546606017 start downloading http://dr5.lamost.org/v3/spectrum/fits/546601116 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546601116 start downloading http://dr5.lamost.org/v3/spectrum/fits/546601247 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546601247 start downloading http://dr5.lamost.org/v3/spectrum/fits/546607114 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546607114 start downloading http://dr5.lamost.org/v3/spectrum/fits/546607111 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546607111 start downloading http://dr5.lamost.org/v3/spectrum/fits/546607060 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546607060 start downloading http://dr5.lamost.org/v3/spectrum/fits/546607028 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546607028 start downloading http://dr5.lamost.org/v3/spectrum/fits/546607236 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546607236 start downloading http://dr5.lamost.org/v3/spectrum/fits/546607250 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546607250 start downloading http://dr5.lamost.org/v3/spectrum/fits/546911147 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546911147 start downloading http://dr5.lamost.org/v3/spectrum/fits/546905022 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546905022 start downloading http://dr5.lamost.org/v3/spectrum/fits/546905092 finish downloading http://dr5.lamost.org/v3/spectrum/fits/546905092 start downloading http://dr5.lamost.org/v3/spectrum/fits/547016024 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547016024 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012001 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012001 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012003 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012003 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012012 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012012 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012021 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012021 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012054 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012054 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012061 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012061 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012065 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012065 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012070 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012070 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012073 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012073 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012074 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012074 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012081 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012081 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012089 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012089 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012112 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012112 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012118 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012118 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012120 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012120 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012142 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012142 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012150 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012150 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012170 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012170 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012181 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012181 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012227 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012227 start downloading http://dr5.lamost.org/v3/spectrum/fits/547012236 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547012236 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013013 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013013 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013027 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013027 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013063 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013063 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013066 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013066 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013068 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013068 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013076 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013076 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013077 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013077 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013094 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013094 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013095 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013095 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013116 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013116 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013133 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013133 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013145 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013145 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013153 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013153 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013164 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013164 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013184 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013184 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013189 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013189 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013196 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013196 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013199 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013199 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013200 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013200 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013206 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013206 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013208 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013208 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013212 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013212 start downloading http://dr5.lamost.org/v3/spectrum/fits/547013223 finish downloading http://dr5.lamost.org/v3/spectrum/fits/547013223
# datadir='./LAMOST_spectra/star'
datadir='./LAMOST_spectra/qso'
# datadir='./LAMOST_spectra/galaxy'
filenames = os.listdir(datadir)
filepaths = [os.path.join(datadir, filename) for filename in filenames if 'fits'in filename]
wavelength_list =[]
flux_list=[]
for file in filepaths[:2000]:
hdulist = fits.open(file)
flux = hdulist[0].data[0]
flux_list.append(flux)
wavelength = hdulist[0].data[2]
wavelength_list.append(wavelength)
wavelength_list
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3700. , 3700.852 , 3701.7043, ..., 8910.492 , 8912.545 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9092.852 , 9094.945 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3700. , 3700.852 , 3701.7043, ..., 8910.492 , 8912.545 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9088.665 , 9090.759 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9092.852 , 9094.945 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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array([3699.9863, 3700.8384, 3701.6907, ..., 9094.945 , 9097.04 ,
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0. ], dtype=float32),
array([25.807621, 72.17892 , 28.027369, ..., 14.726431, 0. ,
0. ], dtype=float32),
array([-24.00102 , -0.21778609, 24.16226 , ..., 0. ,
0. , 0. ], dtype=float32),
array([ 4.784272 , -0.22387284, 10.237214 , ..., 0. ,
0. , 0. ], dtype=float32),
array([ -3.9084103, -19.513672 , 24.837465 , ..., 0. ,
0. , 0. ], dtype=float32),
array([ 44.18873 , 56.378082, 60.035458, ..., -49.301712, 0. ,
0. ], dtype=float32),
array([33.8624 , 29.384209 , 24.329943 , ..., 6.3285465, 5.017247 ,
4.283938 ], dtype=float32),
array([10.468684 , 4.3329983, -1.5164953, ..., 0. , 0. ,
0. ], dtype=float32),
array([-11.739565, 7.440856, 13.023242, ..., 0. , 0. ,
0. ], dtype=float32),
array([ 9.402705 , 10.394712 , -0.41723603, ..., 3.7663486 ,
7.3886266 , 14.599072 ], dtype=float32),
array([-10.08772 , -10.26499 , 22.02107 , ..., 3.3661566,
-3.9933155, -3.8055089], dtype=float32),
array([ 20.666346 , -12.938083 , -5.8709273, ..., 0. ,
0. , 0. ], dtype=float32),
array([-5.5443645 , -9.201732 , -0.31240302, ..., 4.494381 ,
0. , 0. ], dtype=float32),
array([42.43452 , 24.407597 , 1.6959921, ..., 0. , 0. ,
0. ], dtype=float32),
array([16.322561 , 7.0082746, -3.1588063, ..., 0. , 0. ,
0. ], dtype=float32),
array([ 91.16892 , 123.23345 , 177.6234 , ..., -13.531687, 0. ,
0. ], dtype=float32),
array([-5.301028 , -3.511051 , -2.246095 , ..., 5.9745913, 3.5153599,
0. ], dtype=float32),
array([10.676789 , 15.92049 , 5.7584267, ..., 0. , 0. ,
0. ], dtype=float32),
array([ 28.675226 , 100.59803 , 0.5939636, ..., 0. ,
0. , 0. ], dtype=float32),
array([39.56805 , 89.824165, 56.157047, ..., 0. , 0. ,
0. ], dtype=float32),
array([103.095474, 108.00992 , 99.15565 , ..., 86.71845 , 64.09481 ,
0. ], dtype=float32),
array([16.74716 , 24.778267 , 29.987133 , ..., 6.769935 , 0.9371052,
3.6374733], dtype=float32),
array([42.47444 , 37.625664, 17.26384 , ..., 0. , 0. ,
0. ], dtype=float32),
array([12.112946, 17.26615 , 13.817852, ..., 0. , 0. ,
0. ], dtype=float32),
array([13.194465 , 11.418935 , 14.585062 , ..., -2.6804392, 7.7449346,
2.293017 ], dtype=float32),
array([23.126745 , 14.494149 , 16.63668 , ..., -1.0317317, 7.14696 ,
-5.3157425], dtype=float32),
array([ 1.2029643, 9.290907 , 17.133707 , ..., 5.425689 , 4.2556915,
-2.1627438], dtype=float32),
array([-5.446891 , -2.693583 , 14.156615 , ..., -1.961567 , 1.0406609,
1.1537501], dtype=float32),
array([-8.909803 , -0.17338116, 1.2162452 , ..., 0. ,
0. , 0. ], dtype=float32),
array([30.655392, 34.61568 , 15.614611, ..., 0. , 0. ,
0. ], dtype=float32),
array([46.06618 , 14.34165 , 9.53994 , ..., 3.8836777, 11.674891 ,
6.036376 ], dtype=float32),
array([ 0.08649158, 3.9247575 , 14.267903 , ..., 0. ,
0. , 0. ], dtype=float32),
array([17.83741 , 34.787586 , 1.6036652, ..., 5.870329 , 6.686896 ,
5.673692 ], dtype=float32),
array([58.199272, 50.035683, 47.70854 , ..., 0. , 0. ,
0. ], dtype=float32),
array([5.788154 , 4.4932384, 4.9777365, ..., 3.1211016, 3.638266 ,
8.001102 ], dtype=float32),
array([17.17235 , 18.193272, 17.402496, ..., 0. , 0. ,
0. ], dtype=float32),
array([ 5.486734, -23.571735, -9.246408, ..., 0. , 0. ,
0. ], dtype=float32),
array([ 9.312249, -9.172826, -7.357572, ..., -10.357016, 0. ,
0. ], dtype=float32),
array([-21.274078 , -7.6323767, -4.2228436, ..., 3.4263387,
3.6217017, 4.940735 ], dtype=float32),
array([34.464 , 37.059837, 41.02582 , ..., 0. , 0. ,
0. ], dtype=float32),
array([3.2166133, 5.503678 , 3.8873625, ..., 2.5463023, 2.4810762,
2.4354942], dtype=float32),
array([18.72519 , 16.040556, 14.213861, ..., 0. , 0. ,
0. ], dtype=float32),
array([-15.493411 , -1.9361936, 16.837091 , ..., 14.090155 ,
0. , 0. ], dtype=float32),
array([35.708313 , 9.41262 , 7.5029116, ..., 3.1590219, 6.7306905,
-1.1721133], dtype=float32),
array([21.319128, 32.67989 , 34.41473 , ..., 0. , 0. ,
0. ], dtype=float32),
array([12.7105255, 19.781836 , 40.234177 , ..., 0. , 0. ,
0. ], dtype=float32),
array([-27.413494 , -6.0046806, 11.379028 , ..., 0. ,
0. , 0. ], dtype=float32),
array([21.254585 , 16.893126 , 22.817696 , ..., 3.9530432 ,
0.89208084, 1.1011035 ], dtype=float32),
array([12.276129 , -0.62804836, 45.191998 , ..., 0. ,
0. , 0. ], dtype=float32),
array([ 1.949603 , -4.889011 , -7.7357564, ..., 29.356218 ,
13.077712 , -25.275951 ], dtype=float32),
array([ 1.0665759 , 1.6832485 , 1.5726053 , ..., -0.03590089,
0.16334727, 0.24905033], dtype=float32),
array([ 19.777515, 111.260864, 48.29207 , ..., 0. , 0. ,
0. ], dtype=float32),
...]
每条光谱的波长值不完全一致，插值取共同值
WAVE_LENGTH_BEGIN = 3800
WAVE_LENGTH_END = 8900
WAVE_LENGTH_INTERVAL = 2
def calculate_interpolation(left, right, pos):
ratio = (pos-left[0])/(right[0]-left[0])
new_flux = (right[1]-left[1])*ratio + left[1]
return pos, new_flux
def interpolation(wavelength,flux):
pos_list = []
target_list = []
for pos in range(WAVE_LENGTH_BEGIN, WAVE_LENGTH_END, WAVE_LENGTH_INTERVAL):
pos_list.append(pos)
source = [(wavelength[i], flux[i]) for i in range(len(flux))]
wave_index = 0
right_wave_length = source[wave_index+1][0]
for pos in pos_list:
while pos > right_wave_length:
wave_index += 1
try:
right_wave_length = source[wave_index+1][0]
except Exception:
raise
if pos == right_wave_length:
target_list.append((source[wave_index + 1][1]))
else:
new_point = calculate_interpolation(source[wave_index],source[wave_index + 1],
pos)
target_list.append(new_point[1])
return target_list
interpolated_qso =[]
for wavelength,flux in zip(wavelength_list, flux_list):
try:
interpolated_qso.append(interpolation(wavelength,flux))
except Exception:
print(wavelength,len(flux))
interpolated_qso = pd.DataFrame(interpolated_qso)
interpolated_qso
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ... | 2540 | 2541 | 2542 | 2543 | 2544 | 2545 | 2546 | 2547 | 2548 | 2549 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 18.335104 | 33.349667 | 27.950824 | 29.384294 | 16.556414 | 26.811592 | 23.410127 | 24.627176 | 24.215887 | 18.271816 | ... | 28.684748 | 28.671939 | 27.854405 | 22.775750 | 28.590113 | 43.727947 | 45.066552 | 28.692035 | 31.585217 | 28.910661 |
| 1 | 9.350756 | 16.335346 | 10.903193 | 8.956035 | 3.783463 | 8.735664 | 11.484191 | 6.584599 | 15.438611 | 6.534399 | ... | 14.301371 | 18.643746 | 31.313822 | 24.696730 | 5.234182 | 19.058665 | -9.720206 | 13.129704 | 12.808586 | 13.269795 |
| 2 | -2.325537 | -13.544605 | -3.333942 | -4.236966 | 13.217605 | 10.690576 | -10.134208 | 12.379485 | 3.207430 | 2.604835 | ... | 23.401298 | 20.963465 | 22.941938 | 19.162610 | 26.619912 | 26.660982 | 18.305945 | 15.035319 | 22.174495 | 21.977419 |
| 3 | 6.129340 | -3.771438 | 0.876370 | 1.681824 | 7.953038 | 14.867027 | 5.327331 | 9.920513 | -2.641304 | 4.511715 | ... | 28.266409 | 31.167711 | 31.688486 | 30.216272 | 39.387669 | 37.598865 | 32.986569 | 30.798496 | 28.427388 | 30.493782 |
| 4 | 30.119249 | 14.071393 | 8.103674 | 25.089128 | -21.379706 | 76.049051 | 138.788145 | 157.043790 | 110.638485 | 25.602925 | ... | 12.205490 | 9.924608 | 5.862672 | 16.356785 | 9.959258 | 6.401095 | 7.991880 | 8.166966 | 9.103532 | 7.984735 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 1995 | 12.272358 | 14.401710 | 8.348493 | 3.999785 | 7.805858 | 10.378903 | 8.300390 | 6.236607 | 10.736172 | 13.276337 | ... | 11.771546 | 10.476894 | 11.973159 | 9.998501 | 8.236958 | 9.594691 | 9.983817 | 9.360460 | 8.949966 | 9.072508 |
| 1996 | 17.131297 | 15.425591 | 1.065114 | 13.226381 | 24.931888 | -3.459890 | 13.903676 | 9.231472 | -0.356554 | 4.398799 | ... | 11.341078 | 13.134035 | 7.947309 | 7.334852 | 15.752672 | 14.309376 | 14.047401 | 10.579181 | 10.177056 | 9.870089 |
| 1997 | 26.874739 | 40.125442 | 34.200190 | 20.487716 | 35.860423 | 29.905093 | 22.716889 | 50.714312 | 34.052660 | 27.823174 | ... | 54.463825 | 54.740446 | 53.308745 | 56.202765 | 67.134944 | 76.876456 | 75.582606 | 63.546417 | 59.237117 | 56.230476 |
| 1998 | 9.085646 | 7.687270 | 7.489888 | 10.274753 | 14.319158 | 8.921560 | 8.872685 | 14.509934 | 12.725191 | 14.277163 | ... | 56.462394 | 66.399483 | 64.435336 | 42.545179 | 58.755829 | 52.480218 | 55.230266 | 43.468178 | 45.678497 | 49.935323 |
| 1999 | 26.726659 | 17.087841 | 21.602434 | -24.680525 | 17.402617 | 16.349205 | 19.275085 | 42.805796 | 17.907182 | 20.883147 | ... | 16.792606 | 14.830044 | 17.315841 | 26.893963 | 16.516972 | 14.862856 | 23.073962 | 18.715192 | 18.580715 | 16.768742 |
2000 rows × 2550 columns
interpolated_spectra = interpolated_qso
interpolated_spectra['type']=2
interpolated_spectra.loc[:2,'type']=2
interpolated_spectra
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ... | 2541 | 2542 | 2543 | 2544 | 2545 | 2546 | 2547 | 2548 | 2549 | type | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 18.335104 | 33.349667 | 27.950824 | 29.384294 | 16.556414 | 26.811592 | 23.410127 | 24.627176 | 24.215887 | 18.271816 | ... | 28.671939 | 27.854405 | 22.775750 | 28.590113 | 43.727947 | 45.066552 | 28.692035 | 31.585217 | 28.910661 | 2 |
| 1 | 9.350756 | 16.335346 | 10.903193 | 8.956035 | 3.783463 | 8.735664 | 11.484191 | 6.584599 | 15.438611 | 6.534399 | ... | 18.643746 | 31.313822 | 24.696730 | 5.234182 | 19.058665 | -9.720206 | 13.129704 | 12.808586 | 13.269795 | 2 |
| 2 | -2.325537 | -13.544605 | -3.333942 | -4.236966 | 13.217605 | 10.690576 | -10.134208 | 12.379485 | 3.207430 | 2.604835 | ... | 20.963465 | 22.941938 | 19.162610 | 26.619912 | 26.660982 | 18.305945 | 15.035319 | 22.174495 | 21.977419 | 2 |
| 3 | 6.129340 | -3.771438 | 0.876370 | 1.681824 | 7.953038 | 14.867027 | 5.327331 | 9.920513 | -2.641304 | 4.511715 | ... | 31.167711 | 31.688486 | 30.216272 | 39.387669 | 37.598865 | 32.986569 | 30.798496 | 28.427388 | 30.493782 | 2 |
| 4 | 30.119249 | 14.071393 | 8.103674 | 25.089128 | -21.379706 | 76.049051 | 138.788145 | 157.043790 | 110.638485 | 25.602925 | ... | 9.924608 | 5.862672 | 16.356785 | 9.959258 | 6.401095 | 7.991880 | 8.166966 | 9.103532 | 7.984735 | 2 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 1995 | 12.272358 | 14.401710 | 8.348493 | 3.999785 | 7.805858 | 10.378903 | 8.300390 | 6.236607 | 10.736172 | 13.276337 | ... | 10.476894 | 11.973159 | 9.998501 | 8.236958 | 9.594691 | 9.983817 | 9.360460 | 8.949966 | 9.072508 | 2 |
| 1996 | 17.131297 | 15.425591 | 1.065114 | 13.226381 | 24.931888 | -3.459890 | 13.903676 | 9.231472 | -0.356554 | 4.398799 | ... | 13.134035 | 7.947309 | 7.334852 | 15.752672 | 14.309376 | 14.047401 | 10.579181 | 10.177056 | 9.870089 | 2 |
| 1997 | 26.874739 | 40.125442 | 34.200190 | 20.487716 | 35.860423 | 29.905093 | 22.716889 | 50.714312 | 34.052660 | 27.823174 | ... | 54.740446 | 53.308745 | 56.202765 | 67.134944 | 76.876456 | 75.582606 | 63.546417 | 59.237117 | 56.230476 | 2 |
| 1998 | 9.085646 | 7.687270 | 7.489888 | 10.274753 | 14.319158 | 8.921560 | 8.872685 | 14.509934 | 12.725191 | 14.277163 | ... | 66.399483 | 64.435336 | 42.545179 | 58.755829 | 52.480218 | 55.230266 | 43.468178 | 45.678497 | 49.935323 | 2 |
| 1999 | 26.726659 | 17.087841 | 21.602434 | -24.680525 | 17.402617 | 16.349205 | 19.275085 | 42.805796 | 17.907182 | 20.883147 | ... | 14.830044 | 17.315841 | 26.893963 | 16.516972 | 14.862856 | 23.073962 | 18.715192 | 18.580715 | 16.768742 | 2 |
2000 rows × 2551 columns
pos_list = []
for pos in range(WAVE_LENGTH_BEGIN, WAVE_LENGTH_END, WAVE_LENGTH_INTERVAL):
pos_list.append(pos)
interpolated_spectra.iloc[0][:2550]
0 18.335104
1 33.349667
2 27.950824
3 29.384294
4 16.556414
...
2545 43.727947
2546 45.066552
2547 28.692035
2548 31.585217
2549 28.910661
Name: 0, Length: 2550, dtype: float64
plt.plot(pos_list,interpolated_spectra.iloc[0][:2550])
plt.show()
spectra_means = interpolated_spectra.mean(1).to_numpy()
spectra_means
array([34.37146298, 15.15568047, 22.02823359, ..., 68.15535339,
35.77232216, 27.07655685])
interpolated_spectra
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ... | 2541 | 2542 | 2543 | 2544 | 2545 | 2546 | 2547 | 2548 | 2549 | type | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 18.335104 | 33.349667 | 27.950824 | 29.384294 | 16.556414 | 26.811592 | 23.410127 | 24.627176 | 24.215887 | 18.271816 | ... | 28.671939 | 27.854405 | 22.775750 | 28.590113 | 43.727947 | 45.066552 | 28.692035 | 31.585217 | 28.910661 | 2 |
| 1 | 9.350756 | 16.335346 | 10.903193 | 8.956035 | 3.783463 | 8.735664 | 11.484191 | 6.584599 | 15.438611 | 6.534399 | ... | 18.643746 | 31.313822 | 24.696730 | 5.234182 | 19.058665 | -9.720206 | 13.129704 | 12.808586 | 13.269795 | 2 |
| 2 | -2.325537 | -13.544605 | -3.333942 | -4.236966 | 13.217605 | 10.690576 | -10.134208 | 12.379485 | 3.207430 | 2.604835 | ... | 20.963465 | 22.941938 | 19.162610 | 26.619912 | 26.660982 | 18.305945 | 15.035319 | 22.174495 | 21.977419 | 2 |
| 3 | 6.129340 | -3.771438 | 0.876370 | 1.681824 | 7.953038 | 14.867027 | 5.327331 | 9.920513 | -2.641304 | 4.511715 | ... | 31.167711 | 31.688486 | 30.216272 | 39.387669 | 37.598865 | 32.986569 | 30.798496 | 28.427388 | 30.493782 | 2 |
| 4 | 30.119249 | 14.071393 | 8.103674 | 25.089128 | -21.379706 | 76.049051 | 138.788145 | 157.043790 | 110.638485 | 25.602925 | ... | 9.924608 | 5.862672 | 16.356785 | 9.959258 | 6.401095 | 7.991880 | 8.166966 | 9.103532 | 7.984735 | 2 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 1995 | 12.272358 | 14.401710 | 8.348493 | 3.999785 | 7.805858 | 10.378903 | 8.300390 | 6.236607 | 10.736172 | 13.276337 | ... | 10.476894 | 11.973159 | 9.998501 | 8.236958 | 9.594691 | 9.983817 | 9.360460 | 8.949966 | 9.072508 | 2 |
| 1996 | 17.131297 | 15.425591 | 1.065114 | 13.226381 | 24.931888 | -3.459890 | 13.903676 | 9.231472 | -0.356554 | 4.398799 | ... | 13.134035 | 7.947309 | 7.334852 | 15.752672 | 14.309376 | 14.047401 | 10.579181 | 10.177056 | 9.870089 | 2 |
| 1997 | 26.874739 | 40.125442 | 34.200190 | 20.487716 | 35.860423 | 29.905093 | 22.716889 | 50.714312 | 34.052660 | 27.823174 | ... | 54.740446 | 53.308745 | 56.202765 | 67.134944 | 76.876456 | 75.582606 | 63.546417 | 59.237117 | 56.230476 | 2 |
| 1998 | 9.085646 | 7.687270 | 7.489888 | 10.274753 | 14.319158 | 8.921560 | 8.872685 | 14.509934 | 12.725191 | 14.277163 | ... | 66.399483 | 64.435336 | 42.545179 | 58.755829 | 52.480218 | 55.230266 | 43.468178 | 45.678497 | 49.935323 | 2 |
| 1999 | 26.726659 | 17.087841 | 21.602434 | -24.680525 | 17.402617 | 16.349205 | 19.275085 | 42.805796 | 17.907182 | 20.883147 | ... | 14.830044 | 17.315841 | 26.893963 | 16.516972 | 14.862856 | 23.073962 | 18.715192 | 18.580715 | 16.768742 | 2 |
2000 rows × 2551 columns
interpolated_spectra_list = interpolated_spectra.to_numpy()
len(interpolated_spectra_list[0])
2551
standardised_spectra_list=[]
for i,spectra in enumerate(interpolated_spectra_list):
standardised = spectra/spectra_means[i]
standardised_spectra_list.append(standardised)
standardised_spectra = pd.DataFrame(standardised_spectra_list)
standardised_spectra
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ... | 2541 | 2542 | 2543 | 2544 | 2545 | 2546 | 2547 | 2548 | 2549 | 2550 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.533440 | 0.970272 | 0.813199 | 0.854904 | 0.481691 | 0.780054 | 0.681092 | 0.716501 | 0.704535 | 0.531598 | ... | 0.834179 | 0.810393 | 0.662635 | 0.831798 | 1.272217 | 1.311162 | 0.834763 | 0.918937 | 0.841124 | 0.058188 |
| 1 | 0.616980 | 1.077837 | 0.719413 | 0.590936 | 0.249640 | 0.576395 | 0.757748 | 0.434464 | 1.018668 | 0.431152 | ... | 1.230149 | 2.066144 | 1.629536 | 0.345361 | 1.257526 | -0.641357 | 0.866322 | 0.845134 | 0.875566 | 0.131964 |
| 2 | -0.105571 | -0.614875 | -0.151349 | -0.192343 | 0.600030 | 0.485312 | -0.460055 | 0.561983 | 0.145605 | 0.118250 | ... | 0.951663 | 1.041479 | 0.869911 | 1.208445 | 1.210310 | 0.831022 | 0.682548 | 1.006640 | 0.997693 | 0.090793 |
| 3 | 0.213559 | -0.131404 | 0.030534 | 0.058598 | 0.277100 | 0.517997 | 0.185615 | 0.345651 | -0.092028 | 0.157197 | ... | 1.085946 | 1.104091 | 1.052796 | 1.372346 | 1.310020 | 1.149318 | 1.073082 | 0.990467 | 1.062465 | 0.069684 |
| 4 | 1.578259 | 0.737346 | 0.424635 | 1.314679 | -1.120304 | 3.984996 | 7.272546 | 8.229148 | 5.797494 | 1.341602 | ... | 0.520053 | 0.307206 | 0.857101 | 0.521868 | 0.335420 | 0.418777 | 0.427952 | 0.477028 | 0.418403 | 0.104801 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 1995 | 0.914807 | 1.073533 | 0.622314 | 0.298152 | 0.581865 | 0.773665 | 0.618728 | 0.464890 | 0.800297 | 0.989646 | ... | 0.780970 | 0.892504 | 0.745309 | 0.614000 | 0.715208 | 0.744214 | 0.697748 | 0.667149 | 0.676284 | 0.149084 |
| 1996 | 1.458841 | 1.313589 | 0.090701 | 1.126312 | 2.123112 | -0.294632 | 1.183988 | 0.786120 | -0.030363 | 0.374586 | ... | 1.118448 | 0.676765 | 0.624610 | 1.341442 | 1.218536 | 1.196227 | 0.900886 | 0.866642 | 0.840502 | 0.170313 |
| 1997 | 0.394316 | 0.588735 | 0.501798 | 0.300603 | 0.526157 | 0.438778 | 0.333310 | 0.744099 | 0.499633 | 0.408232 | ... | 0.803172 | 0.782165 | 0.824627 | 0.985028 | 1.127959 | 1.108975 | 0.932376 | 0.869148 | 0.825034 | 0.029345 |
| 1998 | 0.253985 | 0.214894 | 0.209377 | 0.287226 | 0.400286 | 0.249398 | 0.248032 | 0.405619 | 0.355727 | 0.399112 | ... | 1.856169 | 1.801262 | 1.189332 | 1.642494 | 1.467062 | 1.543939 | 1.215134 | 1.276923 | 1.395921 | 0.055909 |
| 1999 | 0.987077 | 0.631094 | 0.797828 | -0.911509 | 0.642719 | 0.603814 | 0.711874 | 1.580917 | 0.661354 | 0.771263 | ... | 0.547708 | 0.639514 | 0.993256 | 0.610010 | 0.548920 | 0.852175 | 0.691195 | 0.686229 | 0.619308 | 0.073865 |
2000 rows × 2551 columns
standardised_spectra.drop(2550,axis=1)
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ... | 2540 | 2541 | 2542 | 2543 | 2544 | 2545 | 2546 | 2547 | 2548 | 2549 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.533440 | 0.970272 | 0.813199 | 0.854904 | 0.481691 | 0.780054 | 0.681092 | 0.716501 | 0.704535 | 0.531598 | ... | 0.834551 | 0.834179 | 0.810393 | 0.662635 | 0.831798 | 1.272217 | 1.311162 | 0.834763 | 0.918937 | 0.841124 |
| 1 | 0.616980 | 1.077837 | 0.719413 | 0.590936 | 0.249640 | 0.576395 | 0.757748 | 0.434464 | 1.018668 | 0.431152 | ... | 0.943631 | 1.230149 | 2.066144 | 1.629536 | 0.345361 | 1.257526 | -0.641357 | 0.866322 | 0.845134 | 0.875566 |
| 2 | -0.105571 | -0.614875 | -0.151349 | -0.192343 | 0.600030 | 0.485312 | -0.460055 | 0.561983 | 0.145605 | 0.118250 | ... | 1.062332 | 0.951663 | 1.041479 | 0.869911 | 1.208445 | 1.210310 | 0.831022 | 0.682548 | 1.006640 | 0.997693 |
| 3 | 0.213559 | -0.131404 | 0.030534 | 0.058598 | 0.277100 | 0.517997 | 0.185615 | 0.345651 | -0.092028 | 0.157197 | ... | 0.984859 | 1.085946 | 1.104091 | 1.052796 | 1.372346 | 1.310020 | 1.149318 | 1.073082 | 0.990467 | 1.062465 |
| 4 | 1.578259 | 0.737346 | 0.424635 | 1.314679 | -1.120304 | 3.984996 | 7.272546 | 8.229148 | 5.797494 | 1.341602 | ... | 0.639572 | 0.520053 | 0.307206 | 0.857101 | 0.521868 | 0.335420 | 0.418777 | 0.427952 | 0.477028 | 0.418403 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 1995 | 0.914807 | 1.073533 | 0.622314 | 0.298152 | 0.581865 | 0.773665 | 0.618728 | 0.464890 | 0.800297 | 0.989646 | ... | 0.877476 | 0.780970 | 0.892504 | 0.745309 | 0.614000 | 0.715208 | 0.744214 | 0.697748 | 0.667149 | 0.676284 |
| 1996 | 1.458841 | 1.313589 | 0.090701 | 1.126312 | 2.123112 | -0.294632 | 1.183988 | 0.786120 | -0.030363 | 0.374586 | ... | 0.965766 | 1.118448 | 0.676765 | 0.624610 | 1.341442 | 1.218536 | 1.196227 | 0.900886 | 0.866642 | 0.840502 |
| 1997 | 0.394316 | 0.588735 | 0.501798 | 0.300603 | 0.526157 | 0.438778 | 0.333310 | 0.744099 | 0.499633 | 0.408232 | ... | 0.799113 | 0.803172 | 0.782165 | 0.824627 | 0.985028 | 1.127959 | 1.108975 | 0.932376 | 0.869148 | 0.825034 |
| 1998 | 0.253985 | 0.214894 | 0.209377 | 0.287226 | 0.400286 | 0.249398 | 0.248032 | 0.405619 | 0.355727 | 0.399112 | ... | 1.578382 | 1.856169 | 1.801262 | 1.189332 | 1.642494 | 1.467062 | 1.543939 | 1.215134 | 1.276923 | 1.395921 |
| 1999 | 0.987077 | 0.631094 | 0.797828 | -0.911509 | 0.642719 | 0.603814 | 0.711874 | 1.580917 | 0.661354 | 0.771263 | ... | 0.620190 | 0.547708 | 0.639514 | 0.993256 | 0.610010 | 0.548920 | 0.852175 | 0.691195 | 0.686229 | 0.619308 |
2000 rows × 2550 columns
standardised_spectra['type']=3
standardised_spectra.to_csv(r'./LAMOST_spectra/qso_standardised.csv',index=False)
standardised_galaxy = standardised_spectra
standardised_galaxy.drop(2550,axis=1)
standardised_galaxy.to_csv(r'./LAMOST_spectra/galaxy_standardised.csv',index=False)
standardised_galaxy=standardised_galaxy.drop(2550,axis=1)
standardised_galaxy.to_csv(r'./LAMOST_spectra/galaxy_standardised.csv',index=False)
plt.plot(pos_list,standardised_spectra.iloc[0][:2550])
[<matplotlib.lines.Line2D at 0x7f0dec3757b8>]
galaxies = pd.read_csv('./LAMOST_spectra/galaxy_standardised.csv')
galaxies
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ... | 2541 | 2542 | 2543 | 2544 | 2545 | 2546 | 2547 | 2548 | 2549 | type | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.617188 | 1.078200 | 0.719656 | 0.591135 | 0.249724 | 0.576590 | 0.758004 | 0.434611 | 1.019012 | 0.431297 | ... | 1.230564 | 2.066841 | 1.630086 | 0.345478 | 1.257950 | -0.641574 | 0.866615 | 0.845419 | 0.875861 | 2 |
| 1 | -0.105619 | -0.615157 | -0.151418 | -0.192431 | 0.600306 | 0.485535 | -0.460267 | 0.562241 | 0.145672 | 0.118304 | ... | 0.952100 | 1.041957 | 0.870311 | 1.209000 | 1.210865 | 0.831403 | 0.682861 | 1.007102 | 0.998151 | 2 |
| 2 | 0.608529 | 0.339985 | 0.612112 | 0.704888 | 0.435795 | 0.564308 | 0.521174 | 0.646109 | 0.386403 | 0.227294 | ... | 1.038180 | 1.026206 | 0.939450 | 1.023971 | 1.122343 | 0.985136 | 1.022401 | 1.032069 | 1.035573 | 2 |
| 3 | -0.125019 | 1.094082 | 0.536864 | 1.023426 | 2.261266 | 2.303743 | 0.980048 | 0.621883 | 0.701422 | 0.720067 | ... | 0.921314 | 0.763278 | 0.740817 | 1.109447 | 0.645768 | 0.984002 | 0.852604 | 0.803293 | 0.816611 | 2 |
| 4 | 0.646874 | 0.441916 | 0.839619 | 0.434925 | 0.544952 | 0.256422 | 0.467634 | 0.512585 | 0.236020 | 0.337063 | ... | 1.184212 | 1.159360 | 0.886024 | 1.422036 | 1.451235 | 1.154935 | 1.108076 | 1.149500 | 1.149634 | 2 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 1995 | 0.992853 | 0.701152 | 1.197598 | 1.358477 | 1.808953 | 0.698827 | 1.009947 | 1.635996 | 4.407908 | 7.763082 | ... | 0.467898 | 0.442086 | 0.203025 | 0.452949 | 0.509208 | 0.738491 | 0.573262 | 0.597032 | 0.591372 | 2 |
| 1996 | 2.149378 | -0.156557 | 0.179787 | 1.821211 | 2.971976 | 1.477256 | -0.694196 | -1.180376 | 7.169747 | 4.171288 | ... | 4.137582 | -1.279604 | -1.993507 | 3.525634 | 0.855157 | 3.924680 | 2.872359 | 0.512120 | 1.424043 | 2 |
| 1997 | 0.800556 | -0.565275 | 0.138121 | 0.601530 | -0.042378 | 1.686477 | 0.467939 | 0.722189 | 0.261123 | 1.642332 | ... | 0.654843 | 0.303886 | 0.254515 | 0.521811 | 0.659512 | 0.400410 | 0.648039 | 0.642981 | 0.659449 | 2 |
| 1998 | 0.960248 | 0.473386 | 1.798930 | 0.758620 | 0.718318 | 0.584035 | 1.186850 | 0.798008 | 1.392647 | 0.478130 | ... | 0.824238 | 0.670470 | 0.752646 | 0.990882 | 0.971766 | 0.881983 | 0.797091 | 0.766954 | 0.679151 | 2 |
| 1999 | 0.923015 | 0.436824 | 0.370155 | 0.479452 | 0.128750 | 0.673691 | 0.232528 | 0.075294 | 0.854136 | 0.377474 | ... | 0.972047 | 1.065083 | 0.965179 | 0.962754 | 0.981223 | 0.847509 | 0.865607 | 0.982426 | 0.984218 | 2 |
2000 rows × 2551 columns
qsos = pd.read_csv('./LAMOST_spectra/qso_standardised.csv')
qsos
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ... | 2541 | 2542 | 2543 | 2544 | 2545 | 2546 | 2547 | 2548 | 2549 | type | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1.465882 | 1.390858 | 3.465415 | 1.057414 | 0.582534 | 2.553715 | 2.174162 | 2.567458 | 2.252957 | 2.257374 | ... | 0.544085 | 1.357458 | 1.223721 | 1.470678 | -0.794072 | 0.513535 | 0.551236 | 0.317906 | 0.456822 | 3 |
| 1 | 2.031902 | 3.486242 | 1.511412 | 1.228372 | 2.185312 | 2.477349 | 2.330010 | 2.629874 | 0.967085 | 2.550934 | ... | 0.760254 | 0.804278 | 0.028369 | -0.284611 | 0.970165 | 0.302949 | 0.278299 | 0.366815 | 0.432163 | 3 |
| 2 | 3.067065 | 1.507548 | 0.971249 | 1.266375 | -0.139028 | 4.093104 | 1.742410 | 2.190075 | 1.070714 | 0.594749 | ... | 0.203808 | 0.414640 | 0.321549 | 0.038449 | 0.936389 | 0.241935 | 0.384797 | 0.530812 | 0.825521 | 3 |
| 3 | 2.402544 | 4.028109 | 2.556450 | 2.305694 | 1.796438 | 2.231969 | 1.944689 | 1.464209 | 3.008714 | 1.948910 | ... | 0.350108 | -0.080090 | 0.121488 | 0.856282 | 0.802743 | 0.422436 | 0.540348 | 0.456246 | 0.545964 | 3 |
| 4 | 2.048878 | 3.125698 | 0.704591 | -0.186081 | 0.465236 | 2.723770 | 2.224001 | -2.237385 | 2.819958 | 2.897310 | ... | 0.428996 | -0.689994 | 0.608966 | 2.368730 | 0.298924 | -2.239634 | -0.110689 | 0.341104 | 0.862209 | 3 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 1995 | 1.358673 | 2.255526 | -1.927181 | 2.189852 | -1.175295 | 3.158015 | 1.817735 | 1.476316 | -0.005982 | 2.614979 | ... | 14.729002 | 14.190329 | 6.227650 | -6.466226 | -6.466477 | -6.980642 | 0.129756 | 0.899375 | 2.892127 | 3 |
| 1996 | 4.736062 | 8.493721 | 4.307473 | 6.376364 | 6.063689 | 4.828099 | 7.034339 | 5.206685 | 1.766484 | 8.031152 | ... | -2.224697 | -2.945363 | -3.193636 | 1.916528 | -4.198533 | -6.026858 | -2.577864 | -1.554188 | -2.068489 | 3 |
| 1997 | 2.251206 | 3.835492 | 2.401364 | 2.064844 | 1.606885 | 2.835680 | 2.543361 | 3.106267 | 3.807246 | 3.216638 | ... | 0.240475 | 0.018851 | -0.472121 | -0.058201 | -0.391158 | 0.612688 | 0.288732 | 0.512242 | 0.547362 | 3 |
| 1998 | 1.734387 | 2.007688 | 1.798588 | 1.681123 | 2.155894 | 2.156851 | 1.905678 | 1.978067 | 2.447229 | 2.044550 | ... | 0.460327 | 0.609559 | 0.467800 | 0.139381 | -0.047443 | 0.301798 | 0.392577 | 0.467889 | 0.384213 | 3 |
| 1999 | 2.673625 | 2.610178 | 4.171594 | 1.135168 | 1.557421 | 3.336255 | 1.778019 | 2.815661 | 3.667999 | 2.136348 | ... | 0.758155 | -1.198771 | -1.827310 | -2.254883 | 2.136604 | -1.001851 | 0.965404 | 0.122785 | 0.576359 | 3 |
2000 rows × 2551 columns