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- SoftwareVersion,2.1.0.46
- SystemType,Gen3
- CodeClass,Name,Accession,Count
- Endogenous,CCNO,NM_021147.4,18
- Endogenous,MYC,NM_002467.3,1114
- Endogenous,CD79A,NM_001783.3,178
- Endogenous,FSTL3,NM_005860.2,529
- ScannerID,1609P0139
- StagePosition,1
- BindingDensity,0.19
- CodeClass,Name,Accession,Count
- Endogenous,CCNO,NM_021147.4,196
- Endogenous,MYC,NM_002467.3,962
- Endogenous,CD79A,NM_001783.3,390
- Endogenous,FSTL3,NM_005860.2,67
- CodeClass,Name,Accession,small_example1,small_example2
- CCNO,NM_021147.4,Endogenous,18,196
- MYC,NM_002467.3,Endogenous,1114,962
- CD79A,NM_001783.3,Endogenous,178,390
- FSTL3,NM_005860.2,Endogenous,529,67
- import pandas as pd
- filenames = ['small_example1.csv', 'small_example2.csv']
- path = '/home/Joy'
- def convert(filenames):
- for file in filenames:
- df1 = pd.read_csv(file, sep=',')
- df = df1.merge(df2, on=['CodeClass', 'Name', 'Accession'])
- df.to_csv('result.csv')
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