Check if the file is tab-separated (TSV) or comma-separated (CSV).
If the file crashes your computer, use the chunksize parameter in Pandas to process it in smaller pieces.
import pandas as pd # Load the first 1000 rows to test df_preview = pd.read_csv('406K.txt', sep='\t', nrows=1000) print(df_preview.columns) # Load the full file if memory allows df = pd.read_csv('406K.txt', sep='\t') Use code with caution. Copied to clipboard 3. Cleaning the Data df.isnull().sum() Remove Duplicates: df.drop_duplicates() 406K.txt
Often used to filter a "white British" subset or a specific cohort of ~406,000 participants.
Do not open files larger than 100MB in Excel; it will truncate data. Check if the file is tab-separated (TSV) or
Because "406K" often refers to a large sample size (e.g., 406,000 individuals or variants), this file may be too large for standard text editors.
If it’s a list of 406,000 IDs, you likely need to filter it against a master phenotype file using df.merge() . 🔬 Contextual Use Cases Copied to clipboard 3
A list of genetic variants (SNPs) passing a certain threshold.