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import pandas as pd |
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list_of_df = [] |
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with open("oas_uri_list.txt", "r") as f: |
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for url in f: |
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print(url) |
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df = pd.read_csv(url, skiprows=1, compression="gzip") |
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df = df[df["complete_vdj_heavy"] == "T"] |
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df = df[df["complete_vdj_light"] == "T"] |
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df = df[["sequence_alignment_aa_heavy", "cdr1_start_heavy", "cdr1_end_heavy", "cdr2_start_heavy", "cdr2_end_heavy", "cdr3_start_heavy", "cdr3_end_heavy", "sequence_alignment_aa_light", "cdr1_start_light", "cdr1_end_light", "cdr2_start_light", "cdr2_end_light", "cdr3_start_light", "cdr3_end_light"]] |
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list_of_df.append(df) |
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df = pd.concat(list_of_df, ignore_index=True) |
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train=df.sample(frac=0.8, ignore_index=True) |
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test = df.drop(train.index) |
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train.to_parquet("train.parquet", index=False) |
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test.to_parquet("test.parquet", index=False) |
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