Open wkumler opened 6 days ago
Chromatogram extraction below:
import matplotlib.pyplot as plt
from pyteomics import mzml, mzmlb
import numpy as np
import pandas as pd
mzml_file = mzml.MzML('180205_Poo_TruePoo_Full1.mzML')
def get_chrom_mzml(file):
scan_dfs = []
for spectrum in mzml.MzML(file):
if spectrum['ms level'] == 1:
# print(spectrum["index"])
mz_vals=spectrum['m/z array']
int_vals = spectrum['intensity array']
bet_mzs = mz_vals[abs(mz_vals-118.0865)<=0.001]
bet_ints = int_vals[abs(mz_vals-118.0865)<=0.001]
# print(bet_mzs)
# print(bet_ints)
rt_val = spectrum['scanList']['scan'][0]['scan start time']
if(len(bet_mzs)>0):
df_scan = pd.DataFrame({'mz':bet_mzs, 'int':bet_ints, 'rt':[rt_val]*len(bet_mzs)})
scan_dfs.append(df_scan)
return(pd.concat(scan_dfs, ignore_index=True))
chrom_data = get_chrom_mzml('180205_Poo_TruePoo_Full1.mzML')
print(chrom_data)
plt.plot(chrom_data["rt"], chrom_data["int"])
plt.show()
mzML tasks: