Parquet

标签：rows string df random range Parquet data

 

import os

import numpy as np
import pandas as pd
import string, random


def random_string(n: int):
    return ''.join(random.choices(string.ascii_letters, weights=(1,) * len(string.ascii_letters), k=n))


rows = 3

# df = pd.DataFrame(np.array([range(5), range(5)]))


for i in range(4):
    data = {'id': range(rows), 'name': (random_string(5) for _ in range(rows)), 'age': (random.randrange(10, 99) for _ in range(rows)),
            'score': (round(random.uniform(0, 100), 2) for _ in range(rows)), 'group': i}
    # df = pd.DataFrame(data=data, index=range(rows))
    df = pd.DataFrame(data=data, index=tuple(''.join(chr(o) for o in range(ord('a'), ord('a') + rows))))
    print(df)

    df.to_parquet(path=f'mock-id-name-age-score-{i}.parquet', engine='pyarrow', compression='snappy', index=True)
    os.system(f'hadoop fs -rm -f /user/b_aip/zliu3/parquets/mock-id-name-age-score-{i}.parquet')
    os.system(f'hadoop fs -moveFromLocal mock-id-name-age-score-{i}.parquet /user/b_aip/zliu3/parquets')

 

标签：rows,string,df,random,range,Parquet,data
From： https://www.cnblogs.com/dissipate/p/16721431.html