From sergio_r at mail.com  Mon Jul  2 14:39:18 2018
From: sergio_r at mail.com (Sergio Rojas)
Date: Mon, 2 Jul 2018 20:39:18 +0200
Subject: [SciPy-User] Q: on scipy probplot user defined distribution function
In-Reply-To: <mailman.43.1527868805.886.scipy-user@python.org>
References: <mailman.43.1527868805.886.scipy-user@python.org>
Message-ID: <trinity-11c699f1-daab-4acd-ada6-c24b93362953-1530556758450@3c-app-mailcom-lxa14>

Hello folks,
?
How can one specify our own (user made) probability distribution
function to scipy.stats.probplot  ?
 
Can it be done is the pdf used is not in a closed form function
(meaning that the random drawings comes from a numerical
procedure)?

Salut,


Sergio

From pmhobson at gmail.com  Mon Jul  2 14:59:37 2018
From: pmhobson at gmail.com (Paul Hobson)
Date: Mon, 2 Jul 2018 11:59:37 -0700
Subject: [SciPy-User] Q: on scipy probplot user defined distribution
 function
In-Reply-To: <trinity-11c699f1-daab-4acd-ada6-c24b93362953-1530556758450@3c-app-mailcom-lxa14>
References: <mailman.43.1527868805.886.scipy-user@python.org>
 <trinity-11c699f1-daab-4acd-ada6-c24b93362953-1530556758450@3c-app-mailcom-lxa14>
Message-ID: <CADT3MEB5vOmx9O21SZQBOqjW0bcZBbPtDnckCdndsq6Om9nq8Q@mail.gmail.com>

Sergio,

I haven't looked at scipy's probplot function in detail lately. But I think
that as long as <dist>.pdf, .cdf, and .ppf work on arrays, you should be
fine.

[shameless plug warning]
Here's an example of using different distributions with the mpl-probscale
package:
https://matplotlib.org/mpl-probscale/tutorial/closer_look_at_viz.html#using-different-distributions-for-your-scales

-Paul


On Mon, Jul 2, 2018 at 11:40 AM Sergio Rojas <sergio_r at mail.com> wrote:

> Hello folks,
>
> How can one specify our own (user made) probability distribution
> function to scipy.stats.probplot  ?
>
> Can it be done is the pdf used is not in a closed form function
> (meaning that the random drawings comes from a numerical
> procedure)?
>
> Salut,
>
>
> Sergio
> _______________________________________________
> SciPy-User mailing list
> SciPy-User at python.org
> https://mail.python.org/mailman/listinfo/scipy-user
>
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From sergio_r at mail.com  Wed Jul  4 15:16:50 2018
From: sergio_r at mail.com (Sergio Rojas)
Date: Wed, 4 Jul 2018 21:16:50 +0200
Subject: [SciPy-User] Q: on scipy probplot user defined distribution
 function
In-Reply-To: <mailman.55.1530633604.2484.scipy-user@python.org>
References: <mailman.55.1530633604.2484.scipy-user@python.org>
Message-ID: <trinity-4faad74f-1638-4f9f-be4a-a8ad1801d1ee-1530731810099@3c-app-mailcom-lxa01>


> Here's an example of using different distributions with the mpl-probscale
> package:
> https://matplotlib.org/mpl-probscale/tutorial/closer_look_at_viz.html#using-different-distributions-for-your-scales[https://matplotlib.org/mpl-probscale/tutorial/closer_look_at_viz.html#using-different-distributions-for-your-scales]

> -Paul

Thanks, Paul. I guess I might need to build a <dist>.pdf, .cdf, and .ppf
files for my distribution. What is not clear is how to specify the alternative 
directory to make them available to scipy

On Mon, Jul 2, 2018 at 11:40 AM Sergio Rojas <sergio_r at mail.com> wrote:

> Hello folks,
>
> How can one specify our own (user made) probability distribution
> function to scipy.stats.probplot ?
>
> Can it be done is the pdf used is not in a closed form function
> (meaning that the random drawings comes from a numerical
> procedure)?
>
> Salut,
>
>
> Sergio
> _______________________________________________
> SciPy-User mailing list
> SciPy-User at python.org
> https://mail.python.org/mailman/listinfo/scipy-user[https://mail.python.org/mailman/listinfo/scipy-user]
>
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From pmhobson at gmail.com  Thu Jul  5 03:11:52 2018
From: pmhobson at gmail.com (Paul Hobson)
Date: Thu, 5 Jul 2018 00:11:52 -0700
Subject: [SciPy-User] Q: on scipy probplot user defined distribution
 function
In-Reply-To: <trinity-4faad74f-1638-4f9f-be4a-a8ad1801d1ee-1530731810099@3c-app-mailcom-lxa01>
References: <mailman.55.1530633604.2484.scipy-user@python.org>
 <trinity-4faad74f-1638-4f9f-be4a-a8ad1801d1ee-1530731810099@3c-app-mailcom-lxa01>
Message-ID: <CADT3MEANHqw+w_+acbp9U6H1QqdhLOY9Ei1LK430we5+Wo1eyA@mail.gmail.com>

Hmm. I don't think scipy needs to know about your distribution per se. You
just need to be able to pass it to the probplot function via the `dist`
parameter. Per the docs (
https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.stats.probplot.html
):

scipy.stats.probplot(*x*, *sparams=()*, *dist='norm'*, *fit=True*,
*plot=None*)[source]
<http://github.com/scipy/scipy/blob/v0.14.0/scipy/stats/morestats.py#L296>
[snip]

*dist* : str or stats.distributions instance, optional

Distribution or distribution function name. The default is ?norm? for a
normal probability plot. Objects that look enough like a
stats.distributions instance (i.e. they have a ppf method) are also
accepted.

[snip]

On Wed, Jul 4, 2018 at 12:19 PM Sergio Rojas <sergio_r at mail.com> wrote:

>
> > Here's an example of using different distributions with the mpl-probscale
> > package:
> >
> https://matplotlib.org/mpl-probscale/tutorial/closer_look_at_viz.html#using-different-distributions-for-your-scales[https://matplotlib.org/mpl-probscale/tutorial/closer_look_at_viz.html#using-different-distributions-for-your-scales]
>
> > -Paul
>
> Thanks, Paul. I guess I might need to build a <dist>.pdf, .cdf, and .ppf
> files for my distribution. What is not clear is how to specify the
> alternative
> directory to make them available to scipy
>
> On Mon, Jul 2, 2018 at 11:40 AM Sergio Rojas <sergio_r at mail.com> wrote:
>
> > Hello folks,
> >
> > How can one specify our own (user made) probability distribution
> > function to scipy.stats.probplot ?
> >
> > Can it be done is the pdf used is not in a closed form function
> > (meaning that the random drawings comes from a numerical
> > procedure)?
> >
> > Salut,
> >
> >
> > Sergio
> > _______________________________________________
> > SciPy-User mailing list
> > SciPy-User at python.org
> >
> https://mail.python.org/mailman/listinfo/scipy-user[https://mail.python.org/mailman/listinfo/scipy-user]
> >
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> >
>
> ------------------------------
>
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>
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From sergio_r at mail.com  Mon Jul  9 08:27:36 2018
From: sergio_r at mail.com (Sergio Rojas)
Date: Mon, 9 Jul 2018 14:27:36 +0200
Subject: [SciPy-User] Q: on scipy probplot user defined distribution
 function (solution)
In-Reply-To: <mailman.45.1530806406.8882.scipy-user@python.org>
References: <mailman.45.1530806406.8882.scipy-user@python.org>
Message-ID: <trinity-c809fd34-e13b-4c06-a125-654662f78b82-1531139256765@3c-app-mailcom-lxa08>

> From: Paul Hobson <pmhobson at gmail.com>

> Hmm. I don't think scipy needs to know about your distribution per se. You
>

Thanks for sharing your thoughts, Paul. I finally found the
way to go. As you mention, the parameter "dist" is wher one needs
to specify our own distribution. The key is to give it without quotes.
Here is a working example:


import matplotlib.pyplot as plt #prefer this
import numpy as np
from scipy import stats

class mydist(object):
    def pdf(x):
        "define and return the pdf"
        return  stats.norm.pdf(x)
    def cdf(x):
        "define and return the cdf"
        return  stats.norm.cdf(x)
    def ppf(x):
        "define and return the ppf"
        return  stats.norm.ppf(x)

mymean = 1.0
myvar = 1.0
n = 5000
colData = np.random.normal(mymean, myvar, n)

"""
   It took me a while to realize that the quotes surrounding
   the distribution should not be there when using a user defined one
"""
print(' ProbPlot using system norm ')
res = stats.probplot(colData, dist="norm", plot=plt, rvalue=True)
plt.show()

# To use our own defined distribution remove the quotes around the name:

print(' ProbPlot using my redefined system norm ')
res = stats.probplot(colData, dist=mydist, plot=plt, rvalue=True)
plt.show()


Sergio
------------------------------

Message: 2
Date: Thu, 5 Jul 2018 00:11:52 -0700
From: Paul Hobson <pmhobson at gmail.com>
To: SciPy Users List <scipy-user at python.org>
Subject: Re: [SciPy-User] Q: on scipy probplot user defined
distribution function
Message-ID:
<CADT3MEANHqw+w_+acbp9U6H1QqdhLOY9Ei1LK430we5+Wo1eyA at mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Hmm. I don't think scipy needs to know about your distribution per se. You
just need to be able to pass it to the probplot function via the `dist`
parameter. Per the docs (
https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.stats.probplot.html[https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.stats.probplot.html]
):

scipy.stats.probplot(*x*, *sparams=()*, *dist='norm'*, *fit=True*,
*plot=None*)[source]
<http://github.com/scipy/scipy/blob/v0.14.0/scipy/stats/morestats.py#L296[http://github.com/scipy/scipy/blob/v0.14.0/scipy/stats/morestats.py#L296]>
[snip]

*dist* : str or stats.distributions instance, optional

Distribution or distribution function name. The default is ?norm? for a
normal probability plot. Objects that look enough like a
stats.distributions instance (i.e. they have a ppf method) are also
accepted.

[snip]

On Wed, Jul 4, 2018 at 12:19 PM Sergio Rojas <sergio_r at mail.com> wrote:

>
> > Here's an example of using different distributions with the mpl-probscale
> > package:
> >
> https://matplotlib.org/mpl-probscale/tutorial/closer_look_at_viz.html#using-different-distributions-for-your-scales[https://matplotlib.org/mpl-probscale/tutorial/closer_look_at_viz.html#using-different-distributions-for-your-scales][https://matplotlib.org/mpl-probscale/tutorial/closer_look_at_viz.html#using-different-distributions-for-your-scales[https://matplotlib.org/mpl-probscale/tutorial/closer_look_at_viz.html#using-different-distributions-for-your-scales]]
>
> > -Paul
>
> Thanks, Paul. I guess I might need to build a <dist>.pdf, .cdf, and .ppf
> files for my distribution. What is not clear is how to specify the
> alternative
> directory to make them available to scipy
>
> On Mon, Jul 2, 2018 at 11:40 AM Sergio Rojas <sergio_r at mail.com> wrote:
>
> > Hello folks,
> >
> > How can one specify our own (user made) probability distribution
> > function to scipy.stats.probplot ?
> >
> > Can it be done is the pdf used is not in a closed form function
> > (meaning that the random drawings comes from a numerical
> > procedure)?
> >
> > Salut,
> >
> >
> > Sergio
> > _______________________________________________
> > SciPy-User mailing list
> > SciPy-User at python.org
> >
> https://mail.python.org/mailman/listinfo/scipy-user[https://mail.python.org/mailman/listinfo/scipy-user][https://mail.python.org/mailman/listinfo/scipy-user[https://mail.python.org/mailman/listinfo/scipy-user]]
> >
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> >
>
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> https://mail.python.org/mailman/listinfo/scipy-user[https://mail.python.org/mailman/listinfo/scipy-user][https://mail.python.org/mailman/listinfo/scipy-user[https://mail.python.org/mailman/listinfo/scipy-user]]
>
>
> ------------------------------
>
> End of SciPy-User Digest, Vol 179, Issue 1
> ******************************************
> _______________________________________________
> SciPy-User mailing list
> SciPy-User at python.org
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From charlesr.harris at gmail.com  Mon Jul  9 18:08:12 2018
From: charlesr.harris at gmail.com (Charles R Harris)
Date: Mon, 9 Jul 2018 16:08:12 -0600
Subject: [SciPy-User] NumPy 1.15.0rc2 released.
Message-ID: <CAB6mnxL7K6-cFQ6yi2D1qs9Li0GgeDQ-afJUfno_b_hZvTSUqw@mail.gmail.com>

Hi All,

On behalf of the NumPy team I'm pleased to announce the release of NumPy
1.15.0rc2.
This release has an unusual number of cleanups, many deprecations of old
functions,
and improvements to many existing functions. A total of 435 pull reguests
were merged
for this release, please look at the release notes
<https://github.com/numpy/numpy/releases/tag/v1.15.0rc2>for details. Some
highlights are:

   - NumPy has switched to pytest for testing.
   - A new  `numpy.printoptions` context manager.
   - Many improvements to the histogram functions.
   - Support for unicode field names in python 2.7.
   - Improved support for PyPy.
   - Fixes and improvements to `numpy.einsum`.

The Python versions supported by this release are 2.7, 3.4-3.7.  The wheels
are linked with
OpenBLAS v0.3.0, which should fix some of the linalg problems reported for
NumPy 1.14.

Wheels for this release can be downloaded from PyPI
<https://pypi.org/project/numpy/1.15.0rc2/>, source archives are available
from Github <https://github.com/numpy/numpy/releases/tag/v1.15.0rc2>.

A total of 131 people contributed to this release.  People with a "+" by
their
names contributed a patch for the first time.


   - Aaron Critchley +
   - Aarthi +
   - Aarthi Agurusa +
   - Alex Thomas +
   - Alexander Belopolsky
   - Allan Haldane
   - Anas Khan +
   - Andras Deak
   - Andrey Portnoy +
   - Anna Chiara
   - Aurelien Jarno +
   - Baurzhan Muftakhidinov
   - Berend Kapelle +
   - Bernhard M. Wiedemann
   - Bjoern Thiel +
   - Bob Eldering
   - Cenny Wenner +
   - Charles Harris
   - ChloeColeongco +
   - Chris Billington +
   - Christopher +
   - Chun-Wei Yuan +
   - Claudio Freire +
   - Daniel Smith
   - Darcy Meyer +
   - David Abdurachmanov +
   - David Freese
   - Deepak Kumar Gouda +
   - Dennis Weyland +
   - Derrick Williams +
   - Dmitriy Shalyga +
   - Eric Cousineau +
   - Eric Larson
   - Eric Wieser
   - Evgeni Burovski
   - Frederick Lefebvre +
   - Gaspar Karm +
   - Geoffrey Irving
   - Gerhard Hobler +
   - Gerrit Holl
   - Guo Ci +
   - Hameer Abbasi +
   - Han Shen
   - Hiroyuki V. Yamazaki +
   - Hong Xu
   - Ihor Melnyk +
   - Jaime Fernandez
   - Jake VanderPlas +
   - James Tocknell +
   - Jarrod Millman
   - Jeff VanOss +
   - John Kirkham
   - Jonas Rauber +
   - Jonathan March +
   - Joseph Fox-Rabinovitz
   - Julian Taylor
   - Junjie Bai +
   - Juris Bogusevs +
   - J?rg D?pfert
   - Kenichi Maehashi +
   - Kevin Sheppard
   - Kimikazu Kato +
   - Kirit Thadaka +
   - Kritika Jalan +
   - Lakshay Garg +
   - Lars G +
   - Licht Takeuchi
   - Louis Potok +
   - Luke Zoltan Kelley
   - MSeifert04 +
   - Mads R. B. Kristensen +
   - Malcolm Smith +
   - Mark Harfouche +
   - Marten H. van Kerkwijk +
   - Marten van Kerkwijk
   - Matheus Vieira Portela +
   - Mathieu Lamarre
   - Mathieu Sornay +
   - Matthew Brett
   - Matthew Rocklin +
   - Matthias Bussonnier
   - Matti Picus
   - Michael Droettboom
   - Miguel S?nchez de Le?n Peque +
   - Mike Toews +
   - Milo +
   - Nathaniel J. Smith
   - Nelle Varoquaux
   - Nicholas Nadeau, P.Eng., AVS +
   - Nick Minkyu Lee +
   - Nikita +
   - Nikita Kartashov +
   - Nils Becker +
   - Oleg Zabluda
   - Orestis Floros +
   - Pat Gunn +
   - Paul van Mulbregt +
   - Pauli Virtanen
   - Pierre Chanial +
   - Ralf Gommers
   - Raunak Shah +
   - Robert Kern
   - Russell Keith-Magee +
   - Ryan Soklaski +
   - Samuel Jackson +
   - Sebastian Berg
   - Siavash Eliasi +
   - Simon Conseil
   - Simon Gibbons
   - Stefan Krah +
   - Stefan van der Walt
   - Stephan Hoyer
   - Subhendu +
   - Subhendu Ranjan Mishra +
   - Tai-Lin Wu +
   - Tobias Fischer +
   - Toshiki Kataoka +
   - Tyler Reddy +
   - Unknown +
   - Varun Nayyar
   - Victor Rodriguez +
   - Warren Weckesser
   - William D. Irons +
   - Zane Bradley +
   - fo40225 +
   - lapack_lite code generator +
   - lumbric +
   - luzpaz +
   - mamrehn +
   - tynn +
   - xoviat

Cheers

Chuck
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From jan-hendrik.berlin at cs.uni-dortmund.de  Sun Jul 22 21:09:45 2018
From: jan-hendrik.berlin at cs.uni-dortmund.de (jan-hendrik.berlin)
Date: Mon, 23 Jul 2018 03:09:45 +0200
Subject: [SciPy-User] scipy.optimize.minimize changes values at low decimal
 place
Message-ID: <ed445d20f2dea48153847e17baea5f76@cs.uni-dortmund.de>

Hey guys,

this is my code for the optimisation.

       initialGuess = D.Matrix[:,D.menge]
       bnds = D.Matrix[:,(D.mengenMin,D.mengenMax)]
       con1 = {'type': 'eq', 'fun': PercentSum}
       con2 = {'type': 'eq', 'fun': MinMaxProportion}
       cons = ([con1,con2])

       solution = minimize(rootfunc,initialGuess,method='SLSQP',\
                     bounds=bnds,constraints=cons)

The Problem is, the algorithm changes values at low decimal place.
e.g. this is my initial guess. I already tried to change from float to 
integers, to have a work around.

      [  0.   0. 123.   0.   0. 622. 245.   0.   0.   0.]

The first try of the of the optimizer looks like this:

     [1.49011612e-08 0.00000000e+00 1.23000000e+02 0.00000000e+00
     0.00000000e+00 6.22000000e+02 2.45000000e+02 0.00000000e+00
     0.00000000e+00 0.00000000e+00]

Another is this:

     [  0.           0.         123.00000001   0.           0.
      622.         245.           0.           0.           0.        ]

And finally the optimization finishes with this error:

     status 6
     message Singular matrix C in LSQ subproblem

I think the problem is the tiny difference. Is there a possibility to 
tell the SLSQP algorithm only to try changes on the first two decimal 
places or higher?

kind regards

jan

From charlesr.harris at gmail.com  Mon Jul 23 13:21:05 2018
From: charlesr.harris at gmail.com (Charles R Harris)
Date: Mon, 23 Jul 2018 11:21:05 -0600
Subject: [SciPy-User] NumPy 1.15.0 released.
Message-ID: <CAB6mnxJDL4ZJ+RRDgKnaymMf1EWqH7qJQHnc_4mrt68+iLYfQw@mail.gmail.com>

Hi All,

On behalf of the NumPy team I'm pleased to announce the release of NumPy
1.15.0rc2.
This release has an unusual number of cleanups, many deprecations of old
functions,
and improvements to many existing functions. A total of 438 pull reguests
were merged
for this release, please look at the release notes
<https://github.com/numpy/numpy/releases/tag/v1.15.0>for details. Some
highlights are:

   - NumPy has switched to pytest for testing.
   - A new  `numpy.printoptions` context manager.
   - Many improvements to the histogram functions.
   - Support for unicode field names in python 2.7.
   - Improved support for PyPy.
   - Fixes and improvements to `numpy.einsum`.

The Python versions supported by this release are 2.7, 3.4-3.7.  The wheels
are linked with
OpenBLAS v0.3.0, which should fix some of the linalg problems reported for
NumPy 1.14.

Wheels for this release can be downloaded from PyPI
<https://pypi.org/project/numpy/1.15.0/>, source archives are available
from Github <https://github.com/numpy/numpy/releases/tag/v1.15.0>.


*Contributors*

A total of 133 people contributed to this release.  People with a "+" by
their
names contributed a patch for the first time.

* Aaron Critchley +
* Aarthi +
* Aarthi Agurusa +
* Alex Thomas +
* Alexander Belopolsky
* Allan Haldane
* Anas Khan +
* Andras Deak
* Andrey Portnoy +
* Anna Chiara
* Aurelien Jarno +
* Baurzhan Muftakhidinov
* Berend Kapelle +
* Bernhard M. Wiedemann
* Bjoern Thiel +
* Bob Eldering
* Cenny Wenner +
* Charles Harris
* ChloeColeongco +
* Chris Billington +
* Christopher +
* Chun-Wei Yuan +
* Claudio Freire +
* Daniel Smith
* Darcy Meyer +
* David Abdurachmanov +
* David Freese
* Deepak Kumar Gouda +
* Dennis Weyland +
* Derrick Williams +
* Dmitriy Shalyga +
* Eric Cousineau +
* Eric Larson
* Eric Wieser
* Evgeni Burovski
* Frederick Lefebvre +
* Gaspar Karm +
* Geoffrey Irving
* Gerhard Hobler +
* Gerrit Holl
* Guo Ci +
* Hameer Abbasi +
* Han Shen
* Hiroyuki V. Yamazaki +
* Hong Xu
* Ihor Melnyk +
* Jaime Fernandez
* Jake VanderPlas +
* James Tocknell +
* Jarrod Millman
* Jeff VanOss +
* John Kirkham
* Jonas Rauber +
* Jonathan March +
* Joseph Fox-Rabinovitz
* Julian Taylor
* Junjie Bai +
* Juris Bogusevs +
* J?rg D?pfert
* Kenichi Maehashi +
* Kevin Sheppard
* Kimikazu Kato +
* Kirit Thadaka +
* Kritika Jalan +
* Kyle Sunden +
* Lakshay Garg +
* Lars G +
* Licht Takeuchi
* Louis Potok +
* Luke Zoltan Kelley
* MSeifert04 +
* Mads R. B. Kristensen +
* Malcolm Smith +
* Mark Harfouche +
* Marten H. van Kerkwijk +
* Marten van Kerkwijk
* Matheus Vieira Portela +
* Mathieu Lamarre
* Mathieu Sornay +
* Matthew Brett
* Matthew Rocklin +
* Matthias Bussonnier
* Matti Picus
* Michael Droettboom
* Miguel S?nchez de Le?n Peque +
* Mike Toews +
* Milo +
* Nathaniel J. Smith
* Nelle Varoquaux
* Nicholas Nadeau, P.Eng., AVS +
* Nick Minkyu Lee +
* Nikita +
* Nikita Kartashov +
* Nils Becker +
* Oleg Zabluda
* Orestis Floros +
* Pat Gunn +
* Paul van Mulbregt +
* Pauli Virtanen
* Pierre Chanial +
* Ralf Gommers
* Raunak Shah +
* Robert Kern
* Russell Keith-Magee +
* Ryan Soklaski +
* Samuel Jackson +
* Sebastian Berg
* Siavash Eliasi +
* Simon Conseil
* Simon Gibbons
* Stefan Krah +
* Stefan van der Walt
* Stephan Hoyer
* Subhendu +
* Subhendu Ranjan Mishra +
* Tai-Lin Wu +
* Tobias Fischer +
* Toshiki Kataoka +
* Tyler Reddy +
* Unknown +
* Varun Nayyar
* Victor Rodriguez +
* Warren Weckesser
* William D. Irons +
* Zane Bradley +
* cclauss +
* fo40225 +
* lapack_lite code generator +
* lumbric +
* luzpaz +
* mamrehn +
* tynn +
* xoviat

Cheers,

Charles Harris
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From charlesr.harris at gmail.com  Mon Jul 23 13:23:11 2018
From: charlesr.harris at gmail.com (Charles R Harris)
Date: Mon, 23 Jul 2018 11:23:11 -0600
Subject: [SciPy-User] NumPy 1.15.0 released.
In-Reply-To: <CAB6mnxJDL4ZJ+RRDgKnaymMf1EWqH7qJQHnc_4mrt68+iLYfQw@mail.gmail.com>
References: <CAB6mnxJDL4ZJ+RRDgKnaymMf1EWqH7qJQHnc_4mrt68+iLYfQw@mail.gmail.com>
Message-ID: <CAB6mnxJ=OswkeNQ_U58-NpTAY3y+b1XqbVFyUCA89NCdjU+62g@mail.gmail.com>

On Mon, Jul 23, 2018 at 11:21 AM, Charles R Harris <
charlesr.harris at gmail.com> wrote:

> Hi All,
>
> On behalf of the NumPy team I'm pleased to announce the release of NumPy
> 1.15.0rc2.
>

Oops,  NumPy 1.15.0. Oh well ...

This release has an unusual number of cleanups, many deprecations of old
> functions,
> and improvements to many existing functions. A total of 438 pull reguests
> were merged
> for this release, please look at the release notes
> <https://github.com/numpy/numpy/releases/tag/v1.15.0>for details. Some
> highlights are:
>
>    - NumPy has switched to pytest for testing.
>    - A new  `numpy.printoptions` context manager.
>    - Many improvements to the histogram functions.
>    - Support for unicode field names in python 2.7.
>    - Improved support for PyPy.
>    - Fixes and improvements to `numpy.einsum`.
>
> The Python versions supported by this release are 2.7, 3.4-3.7.  The
> wheels are linked with
> OpenBLAS v0.3.0, which should fix some of the linalg problems reported for
> NumPy 1.14.
>
> Wheels for this release can be downloaded from PyPI
> <https://pypi.org/project/numpy/1.15.0/>, source archives are available
> from Github <https://github.com/numpy/numpy/releases/tag/v1.15.0>.
>
>
> *Contributors*
>
> A total of 133 people contributed to this release.  People with a "+" by
> their
> names contributed a patch for the first time.
>
> * Aaron Critchley +
> * Aarthi +
> * Aarthi Agurusa +
> * Alex Thomas +
> * Alexander Belopolsky
> * Allan Haldane
> * Anas Khan +
> * Andras Deak
> * Andrey Portnoy +
> * Anna Chiara
> * Aurelien Jarno +
> * Baurzhan Muftakhidinov
> * Berend Kapelle +
> * Bernhard M. Wiedemann
> * Bjoern Thiel +
> * Bob Eldering
> * Cenny Wenner +
> * Charles Harris
> * ChloeColeongco +
> * Chris Billington +
> * Christopher +
> * Chun-Wei Yuan +
> * Claudio Freire +
> * Daniel Smith
> * Darcy Meyer +
> * David Abdurachmanov +
> * David Freese
> * Deepak Kumar Gouda +
> * Dennis Weyland +
> * Derrick Williams +
> * Dmitriy Shalyga +
> * Eric Cousineau +
> * Eric Larson
> * Eric Wieser
> * Evgeni Burovski
> * Frederick Lefebvre +
> * Gaspar Karm +
> * Geoffrey Irving
> * Gerhard Hobler +
> * Gerrit Holl
> * Guo Ci +
> * Hameer Abbasi +
> * Han Shen
> * Hiroyuki V. Yamazaki +
> * Hong Xu
> * Ihor Melnyk +
> * Jaime Fernandez
> * Jake VanderPlas +
> * James Tocknell +
> * Jarrod Millman
> * Jeff VanOss +
> * John Kirkham
> * Jonas Rauber +
> * Jonathan March +
> * Joseph Fox-Rabinovitz
> * Julian Taylor
> * Junjie Bai +
> * Juris Bogusevs +
> * J?rg D?pfert
> * Kenichi Maehashi +
> * Kevin Sheppard
> * Kimikazu Kato +
> * Kirit Thadaka +
> * Kritika Jalan +
> * Kyle Sunden +
> * Lakshay Garg +
> * Lars G +
> * Licht Takeuchi
> * Louis Potok +
> * Luke Zoltan Kelley
> * MSeifert04 +
> * Mads R. B. Kristensen +
> * Malcolm Smith +
> * Mark Harfouche +
> * Marten H. van Kerkwijk +
> * Marten van Kerkwijk
> * Matheus Vieira Portela +
> * Mathieu Lamarre
> * Mathieu Sornay +
> * Matthew Brett
> * Matthew Rocklin +
> * Matthias Bussonnier
> * Matti Picus
> * Michael Droettboom
> * Miguel S?nchez de Le?n Peque +
> * Mike Toews +
> * Milo +
> * Nathaniel J. Smith
> * Nelle Varoquaux
> * Nicholas Nadeau, P.Eng., AVS +
> * Nick Minkyu Lee +
> * Nikita +
> * Nikita Kartashov +
> * Nils Becker +
> * Oleg Zabluda
> * Orestis Floros +
> * Pat Gunn +
> * Paul van Mulbregt +
> * Pauli Virtanen
> * Pierre Chanial +
> * Ralf Gommers
> * Raunak Shah +
> * Robert Kern
> * Russell Keith-Magee +
> * Ryan Soklaski +
> * Samuel Jackson +
> * Sebastian Berg
> * Siavash Eliasi +
> * Simon Conseil
> * Simon Gibbons
> * Stefan Krah +
> * Stefan van der Walt
> * Stephan Hoyer
> * Subhendu +
> * Subhendu Ranjan Mishra +
> * Tai-Lin Wu +
> * Tobias Fischer +
> * Toshiki Kataoka +
> * Tyler Reddy +
> * Unknown +
> * Varun Nayyar
> * Victor Rodriguez +
> * Warren Weckesser
> * William D. Irons +
> * Zane Bradley +
> * cclauss +
> * fo40225 +
> * lapack_lite code generator +
> * lumbric +
> * luzpaz +
> * mamrehn +
> * tynn +
> * xoviat
>
> Cheers,
>
> Charles Harris
>
>
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