• Sett the precision and scale of columns with numeric data types.

    降低列的精度或减少小数位数可能导致数据截断。 。

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  • Shows the maximum number of digits allowed for numeric data types.

    显示数字资料型别所允许的位数上限。

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  • Shows the maximum number of digits that can appear to the right of the decimal point for numeric data types.

    显示数字资料型别的小数点右边可以出现的位数上限。

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  • Finally, you'll see how XPath deals with data types, particularly when you perform comparisons of attribute values to numeric values.

    最后,讨论XPath如何处理数据类型,尤其是在执行属性值与数字值的比较时。

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  • Actually, that's not quite all; there are a number of operations on arrays that are much more elegant to express in Numeric or Numarray than they are with standard Python data types and syntax.

    实际上不仅仅如此;许多数组操作用Numeric或者Numarray来表达比起用标准Python数据类型和语法来表达要优雅得多。

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  • Numeric used only character type codes when specifying data types (but initializers in Numarray can still accept the old character codes).

    Numeric在指定数据类型时只使用字符类型编码(但是Numarray中的初始化软件仍然接受老的字符编码)。

    youdao

  • Using very large or very small Numbers or emulating private data-types derived from numeric types.

    使用极大或极小的数字或者模仿从数值类型派生的私有数据类型。

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  • Decimal data types are used for numeric values.

    小数数据类型用于定义数值。

    youdao

  • Decimal data types are used for numeric values.

    小数数据类型用于定义数值。

    youdao

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