本文整理汇总了Python中org.eclipse.january.dataset.Maths.gradient方法的典型用法代码示例。如果您正苦于以下问题：Python Maths.gradient方法的具体用法？Python Maths.gradient怎么用？Python Maths.gradient使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.eclipse.january.dataset.Maths的用法示例。
在下文中一共展示了Maths.gradient方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: gradient
# 需要导入模块: from org.eclipse.january.dataset import Maths [as 别名]
# 或者: from org.eclipse.january.dataset.Maths import gradient [as 别名]
def gradient(f, *varargs):
'''Gradient of array
f -- array
*varargs -- 0, 1, N scalars for sample distance, or (1 or N-d) datasets for sample points
'''
if varargs is None or len(varargs) == 0:
g = _maths.gradient(f)
else:
# check for scalars, etc
from jycore import arange as _ar
vl = len(varargs)
nd = f.getRank()
if vl == 1:
varargs = [varargs[0]]*nd
vl = nd
if vl != nd:
raise ValueError, "Number of arguments must be 0, 1 or rank of f"
xlist = []
for i in range(vl):
x = varargs[i]
xlist.append(x if isinstance(x, _ds) else (_ar(f.shape[i])*x)._jdataset())
g = _maths.gradient(f, xlist)
if len(g) == 1:
return g[0]
return g