Python _is_datetime_or_timedelta_dtype示例

示例#1

def _isfinite(values):
    if _is_datetime_or_timedelta_dtype(values):
        return isnull(values)
    if (is_complex_dtype(values) or is_float_dtype(values)
            or is_integer_dtype(values) or is_bool_dtype(values)):
        return ~np.isfinite(values)
    return ~np.isfinite(values.astype('float64'))

示例#2

文件： nanops.py 项目： DavidHum/pandas

def _isfinite(values):
    if _is_datetime_or_timedelta_dtype(values):
        return isnull(values)
    if (is_complex_dtype(values) or is_float_dtype(values) or
            is_integer_dtype(values) or is_bool_dtype(values)):
        return ~np.isfinite(values)
    return ~np.isfinite(values.astype('float64'))

示例#3

def _bn_ok_dtype(dt, name):
    # Bottleneck chokes on datetime64
    if (not is_object_dtype(dt) and not _is_datetime_or_timedelta_dtype(dt)):

        # bottleneck does not properly upcast during the sum
        # so can overflow
        if name == 'nansum':
            if dt.itemsize < 8:
                return False

        return True
    return False

示例#4

文件： nanops.py 项目： DavidHum/pandas

def _bn_ok_dtype(dt, name):
    # Bottleneck chokes on datetime64
    if (not is_object_dtype(dt) and
            not _is_datetime_or_timedelta_dtype(dt)):

        # bottleneck does not properly upcast during the sum
        # so can overflow
        if name == 'nansum':
            if dt.itemsize < 8:
                return False

        return True
    return False

示例#5

def _view_if_needed(values):
    if _is_datetime_or_timedelta_dtype(values):
        return values.view(np.int64)
    return values

示例#6

文件： nanops.py 项目： DavidHum/pandas

def _view_if_needed(values):
    if _is_datetime_or_timedelta_dtype(values):
        return values.view(np.int64)
    return values