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importpandasaspdimportconcurrent.futuresdefprocess_chunk(chunk):#绠�鍗曠殑澶勭悊鍑芥暟returnchunk.dropna()defprocess_data(file_path):data=pd.read_csv(file_path,chunksize=1000)withconcurrent.futures.ThreadPoolExecutor(max_workers=4)asexecutor:results=list(executor.map(process_chunk,data))returnpd.concat(results)if__name__=="__main__":input_file="data/large_data.csv"processed_data=process_data(input_file)processed_data.to_csv("data/optimized_data.csv",index=False)print("鏁版嵁澶勭悊瀹屾垚骞跺凡浼樺寲")
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