Display Scientific Notation As Floats
Link: =>
ruaupilgrexy.nnmcloud.ru/d?s=YToyOntzOjc6InJlZmVyZXIiO3M6MzY6Imh0dHA6Ly9iYW5kY2FtcC5jb21fZG93bmxvYWRfcG9zdGVyLyI7czozOiJrZXkiO3M6MzM6IlB5dGhvbiBmb3JtYXQgc2NpZW50aWZpYyBub3RhdGlvbiI7fQ==
When imported, reads lines from stdin and prints them back to stdout with scientific notation removed. DivisionByZero Signals the division of a non-infinite number by zero. Since it works well for very small numbers, then simply multiplying the number by a very small number and looking up the proper suffix based on the scaled exponent works quite well.
Once constructed, objects are immutable. The usual approach to working with decimals is to create instances and then apply arithmetic operations which take place within the current context for the active thread. By default, all types of numbers are right aligned.
numpy.format_float_scientific — NumPy v1.14 Manual
This is easily achievable using : %e or %E. For example if you want to display the number 1. The general format specifier is as follows: General format. The precise rules are as follows: suppose that the result formatted with presentation type 'e' and precision p-1 would have exponent exp. Otherwise, the number is formatted with presentation type 'e' and precision p-1. In both cases insignificant trailing zeros are removed from the significand, and the decimal point is also removed if there are no remaining digits following python format scientific notation. Note the bit I've emphasised in the last paragraph. What actually happens is that Python trims that trailing zero even though it is a significant digit in this case. I was playing around with some Javascript and noticed the method does precisely what we are looking for. Update: has added more functionality to my original implementation. His version can be found here:.
Context objects Contexts are environments for arithmetic operations. Some decimal values always print with exponential notation. I have not tested it, but I would bet that if you had the unit mark turned on for mm, it would probably return something that python would consider to be a string also. The trailing zero is kept to indicate significance. Changing a field such a precision has the effect of changing the default for new contexts created by the constructor. I think Josh has nailed it with his last suggestion, which seems to work with any units. In either case, and are also signaled. Note that this option will only be effective when display. If this signal is not trapped, returns Infinity or -Infinity with the sign determined by the inputs to the calculation.
released January 25, 2019