Thanks Davide!
It works now
On Wednesday, May 5, 2021 at 2:02:48 PM UTC+1 sandona...@gmail.com wrote:
> Use the doit() method, something like the following: f.doit()
>
> Davide.
>
>
> Il giorno mer 5 mag 2021 alle ore 14:58 Areeb Sherjil
> ha scritto:
>
>> Oh no sorry, I used %matplotlib tk a
Use the doit() method, something like the following: f.doit()
Davide.
Il giorno mer 5 mag 2021 alle ore 14:58 Areeb Sherjil <
areebsher...@gmail.com> ha scritto:
> Oh no sorry, I used %matplotlib tk at the start and now it opens the graph
> in separate window.(Google groups does not allow to ed
Oh no sorry, I used %matplotlib tk at the start and now it opens the graph
in separate window.(Google groups does not allow to edit messages )
But how to expand the summation series?
On Wednesday, May 5, 2021 at 1:52:16 PM UTC+1 Areeb Sherjil wrote:
> Respond to Davide
>
> Hi,
> Thanks for thi
Respond to Davide
Hi,
Thanks for this.
1-I want to ask: how do I expand the sigma summation like :
cos+cos2+cos3. etc
2- Also how do I open the plot in a separate window to make it bigger/zoom
etc?
On Wednesday, May 5, 2021 at 1:31:05 PM UTC+1 sandona...@gmail.com wrote:
> Whenever it m
Whenever it makes sense, you should use assumptions on symbols. Since you
are dealing with a Fourier Series, you should set:
import sympy as syms
import matplotlib.pyplot as plot
import numpy as linspace
n = syms.symbols('n', real=True, integer=True, positive=True)
t = syms.symbols('t', real=True)
No one is replying, lemme paste the code here:
import sympy as syms
import matplotlib.pyplot as plot
import numpy as linspace
n,t= syms.symbols('n,t')
T= 1
w= 2*syms.pi/T
V=1 # square wave of 1volts with 1second period
Ao= (w/syms.pi)* syms.integrate(V,(t,0,0.5))
An= (w/syms.pi)*syms.integrate(
perhaps this SO page will
help:
https://stackoverflow.com/questions/36314035/force-sympy-to-keep-the-order-of-terms
On Wednesday, May 5, 2021 at 2:59:18 AM UTC-5 thomas...@gmail.com wrote:
> In this task, I am analyzing partial sums of power series. At one place, I
> call
> exp = collect(expan
Jupyter notebooks are just JSON files so you can examine what metadata
is stored in them by opening them in your text editor. I'm guessing
neither of these things is a concern since a lot of people use
notebooks and I have never heard anyone complain about either issue.
Aaron Meurer
On Wed, May 5
I have attempted attempt to submit pull requests at sympy_notebooks
repository at least to move stuff outside of sympy main repo,
but one of the concerns I have is whether the notebook files can store some
personal information (Like the creation datetime, user account, some local
PC folder struc
In this task, I am analyzing partial sums of power series. At one place, I
call
exp = collect(expand(exp), m, factor)
The expression exp is a partial sum of a power series in powers of m. After
this call, I have one more manipulation and then I print the results.
For the printout, I would like to
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