如何使用python在一个文件中高效地存储多个浮点数组

import numpy as np

# 保存多个浮点数组
array1 = np.array([1.0, 2.0, 3.0])
array2 = np.array([4.0, 5.0, 6.0])
np.save('arrays.npy', [array1, array2])

# 加载多个浮点数组
loaded_arrays = np.load('arrays.npy')
array1_loaded, array2_loaded = loaded_arrays[0], loaded_arrays[1]

import h5py

# 保存多个浮点数组
array1 = [1.0, 2.0, 3.0]
array2 = [4.0, 5.0, 6.0]
with h5py.File('arrays.h5', 'w') as f:
    f.create_dataset('array1', data=array1)
    f.create_dataset('array2', data=array2)

# 加载多个浮点数组
loaded_arrays = {}
with h5py.File('arrays.h5', 'r') as f:
    loaded_arrays['array1'] = f['array1'][:]
    loaded_arrays['array2'] = f['array2'][:]

import pickle

# 保存多个浮点数组
array1 = [1.0, 2.0, 3.0]
array2 = [4.0, 5.0, 6.0]
with open('arrays.pkl', 'wb') as f:
    pickle.dump([array1, array2], f)

# 加载多个浮点数组
with open('arrays.pkl', 'rb') as f:
    loaded_arrays = pickle.load(f)