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# numpy.format_float_positional

numpy.format_float_positional(x, precision=None, unique=True, fractional=True, trim='k', sign=False, pad_left=None, pad_right=None, min_digits=None)

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

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

  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, or 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

    fractional boolean, optional

      If True, the cutoffs of precision and min_digits refer to the total number of digits after the decimal point, including leading zeros. If False, precision and min_digits refer to the total number of significant digits, before or after the decimal point, ignoring leading zeros.

    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.

    pad_right non-negative integer, optional

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

    min_digits non-negative integer or None, optional

      Minimum number of digits to print. Only has an effect if unique=True in which case additional digits past those necessary to uniquely identify the value may be printed, rounding the last additional digit.

      New in version 1.21.0.

  Returns:
    rep string

      The string representation of the floating point value

  See also

  `format_float_scientific`

  Examples

      >>> import numpy as np
      >>> np.format_float_positional(np.float32(np.pi))
      '3.1415927'
      >>> np.format_float_positional(np.float16(np.pi))
      '3.14'
      >>> np.format_float_positional(np.float16(0.3))
      '0.3'
      >>> np.format_float_positional(np.float16(0.3), unique=False, precision=10)
      '0.3000488281'