利用feather快速处理大数据

Feather是一个快速、轻量级的存储框架，可以在应用在pandas的Dataframe数据结构中。

读写数据

import feather
import pandas as pd

def read_csv_feature(file_in):
    # 读
    f = open(file_in, encoding='utf-8')
    reader = pd.read_csv(f, sep=',',iterator=True)
    loop = True
    chunkSize= 10000
    chunks = []
    while loop:
        try:
            chunk = reader.get_chunk(chunkSize)
            chunks.apped(chunk)
        except StopIteration:
            loop = False
            print('Iteration is stopped')
        df = pd.concat(chunks, ignore_index=True)

    return df


def write_csv_feature(file_in, file_out):
    # 写
    df = read_csv_feature(file_in)
    print(df.count())
    feather = feather.write_dataframe(df, file_out)