将numpy数组转储为字符串的最快方法

将numpy数组转储为字符串的最快方法

您绝对应该使用

numpy.save

，您仍然可以在内存中使用它：

>>> import io>>> import numpy as np>>> import zlib>>> f = io.BytesIO()>>> arr = np.random.rand(100, 100)>>> np.save(f, arr)>>> compressed = zlib.compress(f.getvalue())

要解压缩，请逆向执行此过程：

>>> np.load(io.BytesIO(zlib.decompress(compressed)))array([[ 0.80881898,  0.50553303,  0.03859795, ...,  0.05850996,         0.9174782 ,  0.48671767],       [ 0.79715979,  0.81465744,  0.93529834, ...,  0.53577085,         0.59098735,  0.22716425],       [ 0.49570713,  0.09599001,  0.74023709, ...,  0.85172897,         0.05066641,  0.10364143],       ...,       [ 0.89720137,  0.60616688,  0.62966729, ...,  0.6206728 ,         0.96160519,  0.69746633],       [ 0.59276237,  0.71586014,  0.35959289, ...,  0.46977027,         0.46586237,  0.10949621],       [ 0.8075795 ,  0.70107856,  0.81389246, ...,  0.92068768,         0.38013495,  0.21489793]])>>>

如您所见，它与我们之前保存的内容匹配：

>>> arrarray([[ 0.80881898,  0.50553303,  0.03859795, ...,  0.05850996,         0.9174782 ,  0.48671767],       [ 0.79715979,  0.81465744,  0.93529834, ...,  0.53577085,         0.59098735,  0.22716425],       [ 0.49570713,  0.09599001,  0.74023709, ...,  0.85172897,         0.05066641,  0.10364143],       ...,       [ 0.89720137,  0.60616688,  0.62966729, ...,  0.6206728 ,         0.96160519,  0.69746633],       [ 0.59276237,  0.71586014,  0.35959289, ...,  0.46977027,         0.46586237,  0.10949621],       [ 0.8075795 ,  0.70107856,  0.81389246, ...,  0.92068768,         0.38013495,  0.21489793]])>>>