__init__.py 文件源码

def logspace(min, max, num, **kwargs):
    """
    Returns log-spaced bins. Same as numpy.logspace except the min and max are the min and max
    not log10(min) and log10(max)

    Parameters
    ==========
    min : float
        minimum value
    max : float
        maximum value
    num : integer
        number of log spaced bins

    Other Parameters
    ================
    kwargs : dict
        additional keywords passed into matplotlib.dates.num2date

    Returns
    =======
    out : array
        log-spaced bins from min to max in a numpy array

    Notes
    =====
    This function works on both numbers and datetime objects

    Examples
    ========
    >>> import spacepy.toolbox as tb
    >>> tb.logspace(1, 100, 5)
    array([   1.        ,    3.16227766,   10.        ,   31.6227766 ,  100.        ])

    See Also
    ========
    geomspace
    linspace
    """
    if isinstance(min, datetime.datetime):
        from matplotlib.dates import date2num, num2date
        ans = num2date(np.logspace(np.log10(date2num(min)), np.log10(date2num(max)), num, **kwargs))
        ans = spt.no_tzinfo(ans)
        return np.array(ans)
    else:
        return np.logspace(np.log10(min), np.log10(max), num, **kwargs)