pip install redis

import redis
import numpy as np
import pickle
# 連接到本地Redis服務(wù)器，端口默認(rèn)是6379
redis_client = redis.StrictRedis(host='localhost', port=6379, db=0)
# 創(chuàng)建一個(gè)示例的NumPy數(shù)組
arr = np.array([[1, 2, 3], [4, 5, 6]])
# 將NumPy數(shù)組轉(zhuǎn)換為二進(jìn)制字符串
arr_binary = pickle.dumps(arr)
# 存儲(chǔ)二進(jìn)制字符串到Redis
redis_client.set('numpy_array_key', arr_binary)
# 從Redis中檢索數(shù)據(jù)并轉(zhuǎn)換回NumPy數(shù)組
stored_data = redis_client.get('numpy_array_key')
if stored_data:
    retrieved_arr = pickle.loads(stored_data)
    print("Retrieved NumPy Array:")
    print(retrieved_arr)
else:
    print("Key not found in Redis.")

import (base64, struct, numpy, redis)
HOST = 'localhost'
PORT = 6379
connection_pool = redis.ConnectionPool(host=HOST, port=PORT, decode_responses=True)  # 連接池
def redis_save(key: str, numpy_ndarray: numpy.ndarray) -> None:
    """將Numpy數(shù)組存入Redis數(shù)據(jù)庫。
    Parameters
    ----------
    key : str
        鍵字符串。
    numpy_ndarray : numpy.ndarray
        待存儲(chǔ)數(shù)組。
    """    
    shape = numpy_ndarray.shape
    dim = len(shape)
    value = struct.pack(''.join(['>I']+['I'*dim]), *((dim,)+shape))
    value = base64.a85encode(value+numpy_ndarray.tobytes()) # 得轉(zhuǎn)換成字符串，不然取出時(shí)候會(huì)報(bào)一個(gè)錯(cuò)
    conn = redis.Redis(connection_pool=connection_pool)
    conn.set(key, value)
    conn.close()
def redis_read(key: str, dtype) -> numpy.ndarray:
    """從Redis中讀取一個(gè)Numpy數(shù)組。
    Parameters
    ----------
    key : str
        鍵字符串。
    dtype : Any
        指定數(shù)組元素?cái)?shù)據(jù)類型。
    Returns
    -------
    numpy.ndarray
        從Redis鍵值對(duì)取出的數(shù)組。
    """
    SIZE = 4
    conn = redis.Redis(connection_pool=connection_pool)
    bytes = base64.a85decode(conn.get(key))
    conn.close()
    dim = struct.unpack('>I', bytes[:1*SIZE])[0]
    shape = struct.unpack('>%s' % ('I'*dim), bytes[1*SIZE:(dim+1)*SIZE])
    ret = numpy.frombuffer(
        bytes,
        offset=(dim+1)*SIZE,
        dtype=dtype
    ).reshape(shape)
    return ret