Value = ''.format(return_val)).rstrip('0').rstrip('.') # strips out trailing 0 and. import decimalĭef myrounding(value, roundstyle='ROUND_HALF_UP',sig = 3): Thus, I wrote a quick function (see code below) that can take value, rounding type, and desired significant digits into account. I ran into this as well but I needed control over the rounding type. if type(n) is int: return intround(n, sigfigs) You can find an Excel spreadsheet to help with calculations at the Lab Connection website. This will be far less flexible, and will probably not play nicely with other numbers such as Decimal objects: > def roundall2(n, sigfigs): more significant digits than your least accurate measurement. If you would like to create a function that handles any number, my preference would be to convert them both to strings and look for a decimal place to decide what to do: > def roundall1(n, sigfigs):Īnother option is to check for type. Or for integers: > def intround(n, sigfigs): It’s fairly trivial to implement once they’re a string though. They’re not stored as base 10 in memory, so significant places isn’t a natural thing to do. A new dialog panel will show up to the right. (Sometimes you might need to click twice.) Click on Format Trendline Label from the options that appear. But it’s fairly well handled for floating point numbers. In the latest version of Excel, however, you can change the number of digits displayed in your fit by doing the following. I can’t think of anything that would be able to handle this out of the box.
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