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

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.

  • 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.

    – versionadded:: 1.21.0


rep – The string representation of the floating point value

Return type



>>> np.format_float_scientific(np.float32(np.pi))  
>>> s = np.float32(1.23e24)  
>>> np.format_float_scientific(s, unique=False, precision=15)  
>>> np.format_float_scientific(s, exp_digits=4)  


This method has not been implemented yet. Xorbits will try to execute it with numpy.

This docstring was copied from numpy.