本文整理汇总了Python中matrix.Matrix.setValue方法的典型用法代码示例。如果您正苦于以下问题：Python Matrix.setValue方法的具体用法？Python Matrix.setValue怎么用？Python Matrix.setValue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matrix.Matrix的用法示例。
在下文中一共展示了Matrix.setValue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: test_adding_some_values
# 需要导入模块: from matrix import Matrix [as 别名]
# 或者: from matrix.Matrix import setValue [as 别名]
def test_adding_some_values(self):
columns = 2
rows = 3
matrix = Matrix(rows, columns)
matrix.setValue(2, 1, 2)
matrix.setValue(3, 2, 6)
self.assertEqual(2, matrix.getValue(2, 1))
self.assertEqual(6, matrix.getValue(3, 2))示例2: Spline
# 需要导入模块: from matrix import Matrix [as 别名]
# 或者: from matrix.Matrix import setValue [as 别名]
class Spline():
def __init__(self, xValues, yValues, firstDerivate, lastDerivate):
assert len(xValues) == len(yValues)
self.xValues = [float(value) for value in xValues]
self.yValues = yValues
self.firstDerivate = firstDerivate
self.lastDerivate = lastDerivate
self.length = len(xValues)
self.calculate_lambdas_and_mys()
self.calculate_ds()
self.create_matrix()
#self.cancel_out_bottom_row()
self.calculate_new_lambdas()
self.calculate_new_ds()
self.calculate_Mis()
self.calculate_coefficients()
def calculate_lambdas_and_mys(self):
self.calculate_lambdas()
self.mys = [False]
for l in [1 - l for l in self.lambdas[1:]]:
self.mys.append(l)
self.mys.append(1) # myn is always 1 (capter 3 page 33)
def calculate_lambdas(self):
self.lambdas = [1] # lambda0 is always 1 (capter 3 page 33)
for i in range(1, self.length - 1):
self.lambdas.append((self.xValues[i + 1] - self.xValues[i]) /
(self.xValues[i + 1] - self.xValues[i - 1])
)
def calculate_ds(self):
xValues = self.xValues
yValues = self.yValues
self.ds = []
self.ds.append(self.calculate_d0())
for i in range(1, self.length -1):
firstFraction = 6 / (xValues[i + 1] - xValues[i - 1])
secondFraction = ((yValues[i + 1] - yValues[i]) /
(xValues[i + 1] - xValues[i])
)
thirdFraction = ((yValues[i] - yValues[i - 1]) /
(xValues[i] - xValues[i - 1])
)
self.ds.append(firstFraction * (secondFraction - thirdFraction))
self.ds.append(self.calculate_dn())
def calculate_d0(self):
xValues = self.xValues
yValues = self.yValues
return 6 / (xValues[1] - xValues[0]) * ((yValues[1] - yValues[0]) /
(xValues[1] - xValues[0])
-self.firstDerivate)
def calculate_dn(self):
xValues = self.xValues
yValues = self.yValues
return 6 / (xValues[-1] - xValues[-2]) * (self.lastDerivate -
(yValues[-1] - yValues[-2]) /
(xValues[-1] - xValues[-2])
)
def create_matrix(self):
self.matrix = Matrix(self.length, self.length)
#2s
for i in range(1, self.matrix.rowCount + 1):
self.matrix.setValue(i, i, 2)
#lambdas
for i in range(1, self.matrix.rowCount):
self.matrix.setValue(i, i + 1, self.lambdas[i - 1])
#µs
for i in range(2, self.matrix.rowCount + 1):
self.matrix.setValue(i, i - 1, self.mys[i -1])
def calculate_new_lambdas(self):
self.new_lambdas = []
self.new_lambdas.append(self.lambdas[0] / 2.0)
for i in range(1, len(self.lambdas)):
self.new_lambdas.append(self.lambdas[i] /
(2 - self.new_lambdas[i -1] * self.mys[i])
)
def calculate_new_ds(self):
self.new_ds = []
self.new_ds.append(self.ds[0] / 2.0)
for i in range(1, len(self.ds)):
self.new_ds.append((self.ds[i] - self.new_ds[i -1] * self.mys[i])/
#.........这里部分代码省略.........