1. 使用 `open` 函数和 `write` 方法:
data = [1, 2, 3, 4, 5]
filename = "data.txt"
with open(filename, "w") as file:
for item in data:
file.write(str(item) + "\n")
2. 使用 `pickle` 模块:
import pickle
my_array = [1, 2, 3, 4, 5]
filename = "array.pkl"
with open(filename, "wb") as file:
pickle.dump(my_array, file)
加载保存的数组
with open(filename, "rb") as file:
loaded_array = pickle.load(file)
print(loaded_array)
3. 使用 `numpy` 库:
import numpy as np
arr = np.array([1, 2, 3, 4, 5])
filename = "my_array.npy"
np.save(filename, arr)
加载保存的数组
loaded_array = np.load(filename)
print(loaded_array)
4. 使用 `numpy` 的 `savetxt` 函数:
import numpy as np
data = np.array([[1, 2], [3, 4]])
filename = "out.txt"
np.savetxt(filename, data, fmt="%d") 保存为整数
np.savetxt(filename, data, fmt="%.2f", delimiter=",") 保存为2位小数的浮点数,用逗号分隔
选择哪种方法取决于你的具体需求,例如是否需要序列化和反序列化,以及对文件格式的要求。希望这些方法对你有帮助!