def?plus(a,b):
z?=?a?◆?1
return?(z,c)
plud(q,w)
感觉不行,局部变量要别的函数用只有一个办法,不过我没成功过,就是用global,变成全局,然后再global到局部给下个def用
最好还是把你要的变量,做成别的函数的结果,然后defA()和defB()都去调用是最好的,也方便改
比如这样
①. 如果有z的话,则相当于pow(x, y) % z
超时机制.python中调用两个函数需要给函数设置超时机制,以防止它超时,这里可以用python的signal模块,signal模块可以实现程序内部的信号处理.
#!/usr/bin/env?python
#?File?name:?parabolic
#?Project?name:?parabolic_equation
"""
..?moduleauthor::
..?Module..?name?parabolic?of?procjet?parabolic_equation
from?sympy?import?*
import?matplotlib.pyplot?as?plt
import?numpy?as?np
def?_filterComplex(inputvalue,?description='inputvalue'):
try:
str(inputvalue).index('I')
except?ValueError:
return?False
else:
return?True
def?_checkBool(inputvalue,?description='inputvalue'):
:param?inputvalue:
:param?description:
:return:
if?not?isinstance(inputvalue,?bool):
raise?TypeError(
'The?{0}?must?be?boolean.?Given:?{1!r}'.format(description,?inputvalue))
def?_checkNumerical(inputvalue,?description='inputvalue'):
inputvalue?◆?1
except?TypeError:
'The?{0}?must?be?numerical.?Given:?{1!r}'.format(description,?inputvalue))
:param?expr_1:
:param?inputmin:
:param?inputmax:
:param?step:
:param?expr_1_evalwithY:
_checkNumerical(inputmin,?'xmin')
_checkNumerical(inputmax,?'xmax')
_checkNumerical(step,?'step')
y1List?=?[]
x1List?=?[]
if?expr_1.vertical?is?True:
x1List?=?np.arange(inputmin,?inputmax,?step)
for?x?in?x1List:
y1List.append(expr_1.evaluates_Y(x))
y1List?=?np.arange(inputmin,?inputmax,?step)
for?y?in?y1List:
x1List.append(expr_1.evaluates_X(y))
plt.plot(x1List,?y1List,?'◆')
plt.show()
x?=?Symbol('x')
y?=?Symbol('y')
print?"Given?the?first?expression:?{0!r}".format(expr_1.expr)
Complex?=?False
ResultListTrue?=?[]
for?i?in?range(0,?(len(ResultList)),1):?
if?_filterComplex(ResultList[i][0],?'x')?or?_filterComplex(ResultList[i][1],?'y'):
Complex?=?True
ResultListTrue.append(ResultList[i])
if?len(ResultListTrue)?==?0?and?Complex:
print?"Two?hyperbolic?do?not?intersect,?and?there?is?imaginary?value."
elif?len(ResultListTrue)?==?1:
print?"Two?hyperbolic?tangent.:"?
print?ResultListTrue
print?"Two?hyperbolic?intersection,?and?Points?are:"?
for?iterm?in?ResultListTrue:
print?iterm
class?Parabolic():
def?__init__(self,?a,?b,?c,?vertical=True):
_checkNumerical(a,?'a')
_checkNumerical(b,?'b')
_checkNumerical(c,?'c')
_checkBool(vertical,?'vertical')
self.a?=?a
self.b?=?b
self.c?=?c
self.vertical?=?vertical
self.y?=?Symbol('y')
self.x?=?Symbol('x')
self.xarray?=?[]
self.yarray?=?[]
if?vertical?is?True:
def?__repr__(self):
if?self.vertical?is?True:
return?"The?Equation?look?like:?{0!r}".format(self.expr)
def?evaluates_X(self,?inputvalue):
_checkNumerical(inputvalue,?'y')
return?self.expr.subs(self.y,?inputvalue)
def?evaluates_Y(self,?inputvalue):
_checkNumerical(inputvalue,?'x')
return?self.expr.subs(self.x,?inputvalue)
def?getArrays(self,?inputmin,?inputmax,?step=1):
for?x?in?range(inputmin,?inputmax,?step):
self.xarray.append(x)
self.yarray.append(self.evaluates_Y(x))
for?y?in?range(inputmin,?inputmax,?step):
self.yarray.append(y)
self.xarray.append(self.evaluates_X(y))
def?drawPara(self,?inputmin,?inputmax,?step=1):
yList?=?[]
xList?=?[]
xList?=?np.arange(inputmin,?inputmax,?step)
for?x?in?xList:
yList.append(self.evaluates_Y(x))
yList?=?np.arange(inputmin,?inputmax,?step)
for?y?in?yList:
xList.append(self.evaluates_X(y))
plt.plot(xList,?yList,?'◆')
if?__name__?==?'__main__':
print?pa1
# 这就是你想要的,代码解决了你的大部分问题,可以求两条双曲线交点,或者直线与双曲线交#点,或者两直线交点. 不过定义双曲线时候使用的是一般式.也也尽可能做了测试,如果有#问题的话,追问吧
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