本文整理匯總了Python中numpy.core.numeric.floor方法的典型用法代碼示例。如果您正苦於以下問題:Python numeric.floor方法的具體用法?Python numeric.floor怎麽用?Python numeric.floor使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類numpy.core.numeric
的用法示例。
在下文中一共展示了numeric.floor方法的2個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: fix
# 需要導入模塊: from numpy.core import numeric [as 別名]
# 或者: from numpy.core.numeric import floor [as 別名]
def fix(x, y=None):
"""
Round to nearest integer towards zero.
Round an array of floats element-wise to nearest integer towards zero.
The rounded values are returned as floats.
Parameters
----------
x : array_like
An array of floats to be rounded
y : ndarray, optional
Output array
Returns
-------
out : ndarray of floats
The array of rounded numbers
See Also
--------
trunc, floor, ceil
around : Round to given number of decimals
Examples
--------
>>> np.fix(3.14)
3.0
>>> np.fix(3)
3.0
>>> np.fix([2.1, 2.9, -2.1, -2.9])
array([ 2., 2., -2., -2.])
"""
x = nx.asanyarray(x)
y1 = nx.floor(x)
y2 = nx.ceil(x)
if y is None:
y = nx.asanyarray(y1)
y[...] = nx.where(x >= 0, y1, y2)
return y
示例2: fix
# 需要導入模塊: from numpy.core import numeric [as 別名]
# 或者: from numpy.core.numeric import floor [as 別名]
def fix(x, out=None):
"""
Round to nearest integer towards zero.
Round an array of floats element-wise to nearest integer towards zero.
The rounded values are returned as floats.
Parameters
----------
x : array_like
An array of floats to be rounded
y : ndarray, optional
Output array
Returns
-------
out : ndarray of floats
The array of rounded numbers
See Also
--------
trunc, floor, ceil
around : Round to given number of decimals
Examples
--------
>>> np.fix(3.14)
3.0
>>> np.fix(3)
3.0
>>> np.fix([2.1, 2.9, -2.1, -2.9])
array([ 2., 2., -2., -2.])
"""
# promote back to an array if flattened
res = nx.asanyarray(nx.ceil(x, out=out))
res = nx.floor(x, out=res, where=nx.greater_equal(x, 0))
# when no out argument is passed and no subclasses are involved, flatten
# scalars
if out is None and type(res) is nx.ndarray:
res = res[()]
return res