尝试使用pickle格式将pickle文件保存到文件系统https://docs.python.org/3/library/pickle.html
这里有一个高级示例，我没有运行这段代码，但它应该给予你一个想法。

import pickle

import numpy as np

# calculate the huge data slice
heavy_numpy_array = np.zeros((1000,2)) # some data

# decide where to store the data in the file-system
my_filename = 'path/to/my_file.xyz'
my_file = open(my_filename, 'wb')

# save to file
pickle.dump(heavy_numpy_array, my_file)
my_file.close()

# load the data from file
my_file_v2 = open(my_filename, 'wb')
my_long_numpy_array = pickle.load(my_file_v2)
my_file_v2.close()

在玩耍

import numpy as np

class Cam:
    def read_pdf(self, *args, **kwargs):
        return np.random.rand(3, 2)

cam = Cam()

tablesSys = cam.read_pdf(
    "840Dsl_sysvar_lists_man_0122_de-DE_wichtig.pdf",
    pages="667-795",
    process_threads=100000,
    line_scale=100,
    strip_text=".\n",
)

with open("data.npy", "wb") as f:
    np.save(f, tablesSys)

with open("data.npy", "rb") as f:
    tablesSys = np.load(f)
print(tablesSys)