numpy.format_float_scientific

numpy.format_float_scientific(x, precision=None, unique=True, trim='k', sign=False, pad_left=None, exp_digits=None, min_digits=None)[source]

Format a floating-point scalar as a decimal string in scientific notation.

Provides control over rounding, trimming and padding. Uses and assumes IEEE unbiased rounding. Uses the “Dragon4” algorithm.

Parameters
xpython float or numpy floating scalar

Value to format.

precisionnon-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.

uniqueboolean, 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

trimone 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

signboolean, optional

Whether to show the sign for positive values.

pad_leftnon-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_digitsnon-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_digitsnon-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.

– versionadded:: 1.21.0

Returns
repstring

The string representation of the floating point value

See also

format_float_positional

Examples

>>> np.format_float_scientific(np.float32(np.pi))
'3.1415927e+00'
>>> s = np.float32(1.23e24)
>>> np.format_float_scientific(s, unique=False, precision=15)
'1.230000071797338e+24'
>>> np.format_float_scientific(s, exp_digits=4)
'1.23e+0024'
numpy.format_float_positional numpy.lib.format.open_memmap