Unanswered Questions

This page lists MaplePrimes questions that have not yet received an answer

Hello,

I try import a big Excel file with the first row as column labels for performing statistical etc.

I use this command :

data := Import(FileTools:-JoinPath(["d:", "directory", "subset2.xlsx"], platform = "windows"))

i need a dataframe for performing statistical with column label as first row, but i have this error :

Error, (in Import) invalid input: MatrixToDataFrame uses a 3rd argument, columns, which is missing

I can not understand what is this error...so, what i can do ?

Thanks, regards


This is my notebook

 

restart

with(DifferentialGeometry)

DGsetup([t, rho, theta, phi, `#mover(mi("θ",fontstyle = "normal"),mo("&uminus0;"))`, `#mover(mi("φ",fontstyle = "normal"),mo("&uminus0;"))`, `#mover(mi("θ",fontstyle = "normal"),mo("˜"))`, `#mover(mi("φ",fontstyle = "normal"),mo("˜"))`], M)

M > 

``

M > 

evalDG(`&w`(dt, `dρ`))

_DG([["form", M, 1], [[[1], `dρ`]]])

(1)
M > 

evalDG(`&s`(dt, `dρ`))

_DG([["tensor", M, [["cov_bas"], []]], [[[1], `dρ`]]])

(2)
M > 

 

 

 

``

I don't understand why computing the wedge product of two differential forms gives me an output which prints the product of both. Why  don't it just return d rho ^ dt?

Dear Maple Users @acer @Carl Love @Kitonum @Preben Alsholm ,

Greetings.

How to plot a function "Am" for various values of "kt"(eg: kt=-1..1) at a point x=0.

Am vs kt.

The code has provided below.

Waiting for your response.

ktplot.mw

 

Hi experts

with(plots):
#epsilon:=5*Pi/2:
gammaa:=0.4:
gammao:=0.1:
gammab:=0.002:
omegab:=100:
X:=60:
Omega:=6*Pi:
g:=10:
sigmag:=5*gammaa:
a:=1/(sigmag*sqrt(2*Pi)):

#deltao:=1:
D7:=evalf(a*int(g*Omega*(gammao/2-I*Delta)*exp(-0.5*((Delta-deltao)/sigmag)^2)/(gammao^2/4+Delta^2),Delta=-infinity..infinity)):
D8:=evalf(0.5*a*int(g^2*gammao*exp(-0.5*((Delta-deltao)/sigmag)^2)/(gammao^2/4+Delta^2), Delta=-infinity..infinity)):
D9:=evalf(a*int(g^2*Delta*exp(-0.5*((Delta-deltao)/sigmag)^2)/(gammao^2/4+Delta^2), Delta=-infinity..infinity)):
b1 := (deltao-2*X^2*omegab*Y/(gammab^2+omegab^2)-D9)^2:

 f:=Y*((gammaa+D8)^2+(b1))=Im(D7)^2+(epsilon-Re(D7))^2:
#P1:=implicitplot(f,deltao=-70..50,Y=0..1,numpoints=100,axes=boxed,thickness=2,color=black,font=[1,1,20],tickmarks=[4, 3],linestyle=1);

implicitplot3d(f,Y = 0 .. 1,deltao=-40..40,epsilon=0..0.4,numpoints=100,labels=[Y,deltao,E],tickmarks=[3,3,3], style = surface, color = "Niagara Azure");

The above code to plot the implicitplot3d ,

first the figures are not smooth

second thing is how to make contourplot at epsilon= 5*Pi/2.

I appreciated any comments


 

Hello everyone,

I would have a question about how to colour a region of complicated inequalities.

I'm curious about the region where my 'lambdas' are all negatives regarding the parameters 'pm2' and 'am2', but I always find difficulties even if I try with implicitplot or inequal commands. Also, I would like to put into the same graph with different colours when they are separately smaller than 0.

I've already tried plenty of things, I hopefully attached some pics by snipping tool about them.  And here is an example of my problem:

p61w:= implicitplot([lambda61 <= 0], pm2 = 0 .. 1, am2 = 0 .. 1)

in61 := inequal(lambda61 <= 0, pm2 = 0 .. 1, am2 = 0 .. 1)

 

display(in61,p61w)

 

 

So, the main issue that it is not just coloured where my condition is true, but elsewhere too. In plot 'in61' as you can see, there is a region approx. pm2=0..0.6 where it shouldn't be coloured since my condition is not true there. In the graph; 'display(in61, p61w)',  it is visible that under the red line should be just coloured however my 'inequal' command coloured it outside too. 

Also, I tried with implicitplot, for example:

p6 := implicitplot([lambda61 <= 0], pm2 = 0 .. 1, am2 = 0 .. 1, filled = true, coloring = [blue, white], transparency = .5)

But the result is similarly wrong. And I'm not sure why it happens and how can I fix it.

(It's okay if for example for these particular lambdas (lambda61,lambda62) never negatives together, but I have more systems and I don't think it works properly)

I read similar questions too but I couldn't find an answer so, I would very appreciate any suggestions.

This is my first post in Maple, so please let me know if I have mistaken something.

Here is my try:

with(plots):
epsilon:=5*Pi/2:
gammaa:=0.4:
gammao:=0.1:
gammab:=0.002:
omegab:=100:
X:=60:
Omega:=6*Pi:
g:=10:
sigmag:=5*gammaa:
a:=1/(sigmag*sqrt(2*Pi)):
for deltao from 0 to 4 do
D7:=evalf(a*int(g*Omega*(gammao/2-I*Delta)*exp(-0.5*((Delta-deltao)/sigmag)^2)/(gammao^2/4+Delta^2),Delta=-infinity..infinity)):
D8:=evalf(0.5*a*int(g^2*gammao*exp(-0.5*((Delta-deltao)/sigmag)^2)/(gammao^2/4+Delta^2), Delta=-infinity..infinity)):
D9:=evalf(a*int(g^2*Delta*exp(-0.5*((Delta-deltao)/sigmag)^2)/(gammao^2/4+Delta^2), Delta=-infinity..infinity)):
b1:=deltao-(2*X^2*omegab*Y^2)/(omegab^2+gammab^2)-D9:
f:=epsilon-D7=Y*(gammaa+D8+I*(b1)):
P1:=implicitplot(f,Y^2=0..10,delta0=0..1,numpoints=1000,axes=boxed,thickness=2,color=black,font=[1,1,20],tickmarks=[4, 3],linestyle=1);
end do:

display(P1);

The function (f)  is an implicit function of Y^2

so my code above is an example to plot Y^2 against deltao

note that Y is complex

I appreciate valueble comments.

Hello guys, 

im not an expert of maplesim, I'm working on one of the default quarter car models (first pic).

 

 

I set a probe to measure the instant contact force between the tire and the post, but the graph shows that the force reaches both posite and negative values (as if the post were pulling back down the tire, is that right?)

What l have to do in order to see the real contact force graph? i just want to see the real positive value or 0. 

 

 

Mapple doesn' work at document mode.How can i solve the problem.(My Os is Win 10 )

Hi!
I am trying to solve ODE with bvp[midrich], and I need to prove the validity of this method. 
Where can i read about realization of bvp[midrich]. What scheme does it use? Аre there any articles on this subject?
 

 

Hello everyone,

Please how can I caluclate an integrale based on data set (Q) usiing any integral method

thanks


 

restart:

NULL

NULL

NULL

Q := [21521.7, 11966.6, 7859.78, 7947.54, 9667.45, 10206.8, 10934.0, 10925.0, 11151.5, 10964.6, 11009.0, 11087.0, 11164.3, 11215.7, 11272.7, 11319.0, 11354.6, 11386.2, 11413.5, 11436.3, 11456.0, 11473.2, 11488.2, 11501.1, 11512.7, 11523.0, 11532.2, 11540.3, 11547.7, 11554.3, 11560.3, 11565.8, 11570.7, 11575.3, 11579.4, 11583.2, 11586.7, 11590.0, 11592.9, 11595.7, 11598.2, 11600.6]

[21521.7, 11966.6, 7859.78, 7947.54, 9667.45, 10206.8, 10934.0, 10925.0, 11151.5, 10964.6, 11009.0, 11087.0, 11164.3, 11215.7, 11272.7, 11319.0, 11354.6, 11386.2, 11413.5, 11436.3, 11456.0, 11473.2, 11488.2, 11501.1, 11512.7, 11523.0, 11532.2, 11540.3, 11547.7, 11554.3, 11560.3, 11565.8, 11570.7, 11575.3, 11579.4, 11583.2, 11586.7, 11590.0, 11592.9, 11595.7, 11598.2, 11600.6]

(1)

``

NULL


 

Download simpson.mw

Is it possible to import 3rd party python packages like pyGPGO (A  Bayesian Optimization package) available in github. Please reply. Thanks a lot 

I tried to get this plot with equal axis for x and y ? 

G:=(x,y)->2*x^2+y^2-2*(x+y+x*y-1);
implicitplot(G(x,y)=0,x=-2..10,y=-2..10,scaling=constrained);

 

The uploaded worksheet contains two examples of the use of VectorCalculus[VectorSpace]. The first example seems explicable but the second does not.

I have tried and failed to find a full, clear explanation of how a vector describing a simple vector, spacecurve, or surface in the default vector space is transformed to appear in a user defined vector space.

Can anyone direct me to such an explanation, so that I can understand Maple's processing within the uploaded worksheet and enable me to use this Maple feature to future advantage?

VectorSpaceTest.mw

How can I generate a code to plot the optimals; h, chi and psi?

Hello all,

I was hoping to get some general tips for tackling numeric integrals. As someone with little experience in the subject, I find myself overwhelemed by the many different integration methods. 

Experts, what are the first steps you take when trying to find a numeric solution to an integral? How might you zero-in on a particular integration method? What about tweaking error parametrs, etc.? Is there a general framework for approaching these problems, or is it all guesswork?

Thanks!

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