3 回答

TA貢獻(xiàn)1807條經(jīng)驗(yàn) 獲得超9個贊
該pickle圖書館是去這里的路。
import pickle
Tests = 5
data = {}
for i in range(Tests):
data['r'] = 5
data['m'] = 500
data['n'] = 500
data['X'] = np.random.rand(data['m'],data['n'])
data['Y'] = np.random.rand(data['m'],data['n'])
with open('data{}.pickle'.format(i), 'wb') as f:
pickle.dump(data, f)
這允許您稍后訪問數(shù)據(jù)字典。例如,
with open('data0.pickle', 'rb') as f:
data = pickle.load(f)
r = data['r']
m = data['m']

TA貢獻(xiàn)1942條經(jīng)驗(yàn) 獲得超3個贊
下面是如何在 python 中做同樣的事情。
import numpy as np
Test = 2
for i in range(Test):
r = 5
m = 500
n = 500
X=np.random.rand(m,n)
Y=np.random.rand(m,n)
file_name = 'test_'+str(i)
open(file_name,'w').write(str(r) + str(m) + str(n) + str(X) + str(Y))
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