numpy:format_float_scientific

Parameters

x : python float or numpy floating scalar

Value to format.

precision : non-negative integer or None, optional

Maximum number of digits to print. May be None if unique is True, but must be an integer if unique is False.

unique : boolean, optional

If True, use a digit-generation strategy which gives the shortest representation which uniquely identifies the floating-point number from other values of the same type, by judicious rounding. If precision is given fewer digits than necessary can be printed. If min_digits is given more can be printed, in which cases the last digit is rounded with unbiased rounding. If False, digits are generated as if printing an infinite-precision value and stopping after precision digits, rounding the remaining value with unbiased rounding

trim : one of 'k', '.', '0', '-', optional

Controls post-processing trimming of trailing digits, as follows:

• 'k'keep trailing zeros, keep decimal point (no trimming)

• '.'trim all trailing zeros, leave decimal point

• '0'trim all but the zero before the decimal point. Insert the zero if it is missing.

• '-'trim trailing zeros and any trailing decimal point

sign : boolean, optional

Whether to show the sign for positive values.

pad_left : non-negative integer, optional

Pad the left side of the string with whitespace until at least that many characters are to the left of the decimal point.

exp_digits : non-negative integer, optional

Pad the exponent with zeros until it contains at least this many digits. If omitted, the exponent will be at least 2 digits.

min_digits : non-negative integer or None, optional

Minimum number of digits to print. This only has an effect for unique=True. In that case more digits than necessary to uniquely identify the value may be printed and rounded unbiased.