I currently have a numpy array of float64s:
[ -2.75090260e-08 3.11586226e-08 1.86128266e-08 -1.01560789e-07 ]
which I would like to print as for an excel spreadsheet import:
[ -.0000000275090260 .0000000311586226 .0000000186128266 -.000000101560789 ]
I've tried messing about with precision settings, but each number has its own mantissa and exponent.
Note that these output numbers can be considered a string if that makes the process easier, as they are going into a text file for excel.
You want to print the numbers in decimal format with 16 digits precision? How about this?
a = [-2.75090260e-08, 3.11586226e-08, 1.86128266e-08, -1.01560789e-07]
print map(lambda x: "{0:.16f}".format(x), a)
This prints
['-0.0000000275090260', '0.0000000311586226', '0.0000000186128266', '-0.0000001015607890']
Update:
You don't even need the lambda. Using
map("{0:.16f}".format, a)
works just as well. Thanks @JaminSore for pointing that out.
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