![]() : df = pd. But this seems to be buggy: If all floats in column are over 10000 it loses precision and converts them to integers. One can use only downcast='infer' which cause pandas to try to downcast for example floats to integers. If you supply dict as downcast you'll get AssertionError("dtypes as dict is not supported yet")
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