Well at least it’s better than numpy’s csv functions. For my use case (~4 million images, one row per image, 2048 fp32 columns for features extracted with resnet), parsing/encoding csv with pandas was 10x faster than with numpy. Of course serializing the arrays to/from npy was 10x faster than any csv library.