Respected Sir
I kindly request you to hide my query about covariance matrix syntax from
google which was emailed to you a few years back as it appears on google
page.
Hoping that you do the needful.
Dr. Meghna Raviraj Karkera
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Dear Respected Sir
May I request you to help me plot the number of histories versus standard
deviation along with mean for integral of 2x dx from 0 to 5 abtained using
the Monte Carlo python program.
I've calculated the integral of 2x dx from 0 to 5 using the Monte Carlo
method described in the f
Is there any syntax for covariance which uses the unbiased formula
(yi-ymean)*(yj-ymean) /n...Monte Carlo method
On Sat, Oct 24, 2020, 21:11 Meghna Karkera wrote:
> Dear Sir
>
> Now I figured out why there was a difference when I manually computed
> covariance and when I use the np
t you can read using Google Translator:
>
> https://tinyurl.com/yybazx9n
>
> https://tinyurl.com/y29mule6
>
> https://tinyurl.com/yxtg4tce
>
> Best Regards,
> Markos
>
> Em 19-10-2020 02:23, Meghna Karkera escreveu:
> > Dear Sir
> >
> > I am unable
um 06:52 schrieb Meghna Karkera:
> > Could you let me know what is the back end calculation of this covariance
> > matrix syntax np.cov
> >
>
> You can look it up yourself: Go to the docs
> https://numpy.org/doc/stable/reference/generated/numpy.cov.html
>
> At th
oking for:
>
>
>
> https://github.com/numpy/numpy/blob/156cd054e007b05d4ac4829e10a369d19dd2b0b1/numpy/lib/function_base.py#L2276
>
>
> Hope that helps
>
> Bruno
>
> On Tuesday, 13 October 2020, 5:38:55 pm NZDT, Meghna Karkera <
> mkarker...@gmail.com> wr
May I know the steps or procedure behind covariance matrix syntax,
np.cov(covar_matrix) in python
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May I request you to let me know the steps python follows in order to
compute covariance matrix using the inbuilt
syntax.
np.cov(cov_mat) .
>>cov_mat = np.stack((x, y), axis = 0)
>>np.cov(cov_mat)
On Sun, Oct 11, 2020 at 9:14 AM Grant Edwards
wrote:
> On 2020-10-10, Peter J. Holzer wrote:
> >
May I request you to let me know the steps python follows in order to
compute covariance matrix using the inbuilt
syntax.
np.cov(cov_mat) .
>>cov_mat = np.stack((x, y), axis = 0)
>>np.cov(cov_mat)
On Sun, Oct 11, 2020 at 9:14 AM Grant Edwards
wrote:
> On 2020-10-10, Peter J. Holzer wrote:
> >
Thanks, the problem was I solved a covariance matrix manually, but my
fellow mate using the covariance syntax. That's why there was difference in
Matlab and python results. But now when I use the covariance syntax in
python, matlab and python gives the same results.
On Sat, Oct 10, 2020, 21:37 Pet
2020, 11:24 Marco Sulla wrote:
> If you want to avoid float problems, you can use Decimal:
>
> https://docs.python.org/3/library/decimal.html
>
> On Wed, 7 Oct 2020 at 05:23, Meghna Karkera wrote:
> >
> > How is PYTHON better than other software's(MATLAB) in cas
How is PYTHON better than other software's(MATLAB) in case of truncation or
rounding off error.
Thanks
Meghna
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Dear Respected Sir,
I will go through the links you provided and get back to you if there are
doubts.
Thanks
Sincerely
Meghna Raviraj Karkera
On Sat, Aug 22, 2020, 01:45 dn via Python-list
wrote:
> On 22/08/2020 02:17, Meghna Karkera wrote:
> > Dear Respected Sir
> >
> &g
Dear Respected Sir
I am Meghna, a PhD student. I have installed python in my ubuntu OS from
your website recently and tried using spyder and jupyter.
May I request you to help me with importing few matrices, each of size
100*100 in python from XLSX and perform operations on the matrices like
addi
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