Thanks for comments, I've fixed the named issues.
Code is python2&3 compatible, I aliased numpy and used better inversion.
Specially thanks for pointing at histogram equalization - I've added
example for images.
Probably some other 'visual' examples would help - I'll try to invent
something to
2015-10-02 9:48 GMT+02:00 Kiko :
>
>
> 2015-10-02 9:38 GMT+02:00 Alex Rogozhnikov :
>
>> I would suggest
>>>
>>> %matplotlib notebook
>>>
>>> It will still have to a nice png, but you get an interactive figure when
>>> it is live.
>>>
>>
>> Amazing, thanks. I was using mpld3 for this.
>> (for some
2015-10-02 9:38 GMT+02:00 Alex Rogozhnikov :
> I would suggest
>>
>> %matplotlib notebook
>>
>> It will still have to a nice png, but you get an interactive figure when
>> it is live.
>>
>
> Amazing, thanks. I was using mpld3 for this.
> (for some strange reason I need to put %matplotlib notebook
I would suggest
%matplotlib notebook
It will still have to a nice png, but you get an interactive figure
when it is live.
Amazing, thanks. I was using mpld3 for this.
(for some strange reason I need to put %matplotlib notebook before each
plot)
The recommendation of inverting a permutation
It will still have to a nice png, but you get an interactive figure when it is
live.
You just blew my mind. =D
+1 to Python 3 and aliasing numpy as np.___
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I would suggest
%matplotlib notebook
It will still have to a nice png, but you get an interactive figure when it
is live.
I agree that making the example code Python3 is critical.
Tom
On Thu, Oct 1, 2015 at 8:05 PM Jaime Fernández del Río
wrote:
> On Thu, Oct 1, 2015 at 11:46 AM, Alex Rogozh
On Thu, Oct 1, 2015 at 11:46 AM, Alex Rogozhnikov <
alex.rogozhni...@yandex.ru> wrote:
> Hi, I have written some numpy tips and tricks I am using, which may be
> interesting to you.
> This is quite long reading, so I've splitted it into two parts:
>
> http://arogozhnikov.github.io/2015/09/29/Numpy
On 2015-10-01 11:46:59, Alex Rogozhnikov
wrote:
> Hi, I have written some numpy tips and tricks I am using, which may be
> interesting to you.
> This is quite long reading, so I've splitted it into two parts:
>
> http://arogozhnikov.github.io/2015/09/29/NumpyTipsAndTricks1.html
> http://arogozhni
