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Module « numpy »

Fonction format_float_scientific - module numpy

Signature de la fonction format_float_scientific

def format_float_scientific(x, precision=None, unique=True, trim='k', sign=False, pad_left=None, exp_digits=None, min_digits=None) 

Description

help(numpy.format_float_scientific)

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
----------
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

Returns
-------
rep : string
    The string representation of the floating point value

See Also
--------
format_float_positional

Examples
--------
>>> import numpy as np
>>> 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'

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