本文整理汇总了Python中sympy.matrices.Matrix._new方法的典型用法代码示例。如果您正苦于以下问题：Python Matrix._new方法的具体用法？Python Matrix._new怎么用？Python Matrix._new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sympy.matrices.Matrix的用法示例。
在下文中一共展示了Matrix._new方法的2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: _eval_expand_basic
# 需要导入模块: from sympy.matrices import Matrix [as 别名]
# 或者: from sympy.matrices.Matrix import _new [as 别名]
def _eval_expand_basic(self, **hints):
summand = self.function.expand(**hints)
if summand.is_Add and summand.is_commutative:
return Add(*[ self.func(i, *self.limits) for i in summand.args ])
elif summand.is_Matrix:
return Matrix._new(summand.rows, summand.cols,
[self.func(i, *self.limits) for i in summand._mat])
elif summand != self.function:
return self.func(summand, *self.limits)
return self示例2: diag
# 需要导入模块: from sympy.matrices import Matrix [as 别名]
# 或者: from sympy.matrices.Matrix import _new [as 别名]
#.........这里部分代码省略.........
[0, 0, 3]])
The diagonal elements can be matrices; diagonal filling will
continue on the diagonal from the last element of the matrix:
>>> from sympy.abc import x, y, z
>>> a = Matrix([x, y, z])
>>> b = Matrix([[1, 2], [3, 4]])
>>> c = Matrix([[5, 6]])
>>> diag(a, 7, b, c)
Matrix([
[x, 0, 0, 0, 0, 0],
[y, 0, 0, 0, 0, 0],
[z, 0, 0, 0, 0, 0],
[0, 7, 0, 0, 0, 0],
[0, 0, 1, 2, 0, 0],
[0, 0, 3, 4, 0, 0],
[0, 0, 0, 0, 5, 6]])
When diagonal elements are lists, they will be treated as arguments
to Matrix:
>>> diag([1, 2, 3], 4)
Matrix([
[1, 0],
[2, 0],
[3, 0],
[0, 4]])
>>> diag([[1, 2, 3]], 4)
Matrix([
[1, 2, 3, 0],
[0, 0, 0, 4]])
A given band off the diagonal can be made by padding with a
vertical or horizontal "kerning" vector:
>>> hpad = ones(0, 2)
>>> vpad = ones(2, 0)
>>> diag(vpad, 1, 2, 3, hpad) + diag(hpad, 4, 5, 6, vpad)
Matrix([
[0, 0, 4, 0, 0],
[0, 0, 0, 5, 0],
[1, 0, 0, 0, 6],
[0, 2, 0, 0, 0],
[0, 0, 3, 0, 0]])
The type is mutable by default but can be made immutable by setting
the ``mutable`` flag to False:
>>> type(diag(1))
<class 'sympy.matrices.dense.MutableDenseMatrix'>
>>> from sympy.matrices import ImmutableMatrix
>>> type(diag(1, cls=ImmutableMatrix))
<class 'sympy.matrices.immutable.ImmutableMatrix'>
See Also
========
eye
"""
from .sparse import MutableSparseMatrix
cls = kwargs.pop('cls', None)
if cls is None:
from .dense import Matrix as cls
if kwargs:
raise ValueError('unrecognized keyword%s: %s' % (
's' if len(kwargs) > 1 else '',
', '.join(kwargs.keys())))
rows = 0
cols = 0
values = list(values)
for i in range(len(values)):
m = values[i]
if isinstance(m, MatrixBase):
rows += m.rows
cols += m.cols
elif is_sequence(m):
m = values[i] = Matrix(m)
rows += m.rows
cols += m.cols
else:
rows += 1
cols += 1
res = MutableSparseMatrix.zeros(rows, cols)
i_row = 0
i_col = 0
for m in values:
if isinstance(m, MatrixBase):
res[i_row:i_row + m.rows, i_col:i_col + m.cols] = m
i_row += m.rows
i_col += m.cols
else:
res[i_row, i_col] = m
i_row += 1
i_col += 1
return cls._new(res)