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並前往https://towardsdatascience.com/converting-data-to-a-numeric-type-in-pandas-db9415caab0b

10 tricks for converting Data to a Numeric Type in Pandas

memory usage: 356.0+ bytes ... Alternatively, we can replace Numpy nan with another value (for example replacing NaN with 0 ) and call ...

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