[yt-users] Normalized axis
Sushilkumar
sushil.sush19us at gmail.com
Fri Jun 9 07:38:06 PDT 2017
Dear Nathan:
Using plot slc.set_axes_unit('unitary') gives me the error below
yt.utilities.exceptions.YTUnitNotRecognized: This dataset doesn't recognize
unitary
Do I have to import any units specifically for such cases?
On Fri, Jun 9, 2017 at 9:30 AM, Sushilkumar <sushil.sush19us at gmail.com>
wrote:
>
>
> On Fri, Jun 9, 2017 at 9:11 AM, <yt-users-request at lists.spacepope.org>
> wrote:
>
>> Send yt-users mailing list submissions to
>> yt-users at lists.spacepope.org
>>
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>> When replying, please edit your Subject line so it is more specific
>> than "Re: Contents of yt-users digest..."
>>
>>
>> Today's Topics:
>>
>> 1. Normalized axis (Sushilkumar)
>> 2. Re: Normalized axis (Nathan Goldbaum)
>>
>>
>> ----------------------------------------------------------------------
>>
>> Message: 1
>> Date: Fri, 9 Jun 2017 09:08:36 -0500
>> From: Sushilkumar <sushil.sush19us at gmail.com>
>> To: Discussion of the yt analysis package
>> <yt-users at lists.spacepope.org>
>> Subject: [yt-users] Normalized axis
>> Message-ID:
>> <CAKARaKWnE99yKGhb8yQTQY7zYkwe+oBNbqJtPRUHcZ2KT=f=dQ at mail.gm
>> ail.com>
>> Content-Type: text/plain; charset="utf-8"
>>
>>
>> Dear yt
>>
>> How do I label the axis of a plot in normalized values?
>>
>> On my plot I want to label my x and y axis in terms of the vertical line.
>>
>> Do I use convert_to_plot under streamlines?
>>
>> Link to the plot and script is below
>>
>> https://drive.google.com/open?id=0B4g8shg4DL7oak5PLWVVdG5UMHc
>>
>> Thanks in advance
>>
>>
>>
>> On Thu, Jun 8, 2017 at 1:01 PM, <yt-users-request at lists.spacepope.org>
>> wrote:
>>
>> > Send yt-users mailing list submissions to
>> > yt-users at lists.spacepope.org
>> >
>> > To subscribe or unsubscribe via the World Wide Web, visit
>> > http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
>> > or, via email, send a message with subject or body 'help' to
>> > yt-users-request at lists.spacepope.org
>> >
>> > You can reach the person managing the list at
>> > yt-users-owner at lists.spacepope.org
>> >
>> > When replying, please edit your Subject line so it is more specific
>> > than "Re: Contents of yt-users digest..."
>> >
>> >
>> > Today's Topics:
>> >
>> > 1. Re: selecting data by refinement level (Klaus Weide)
>> > 2. Re: selecting data by refinement level (Matthew Turk)
>> > 3. Re: selecting data by refinement level (Nathan Goldbaum)
>> > 4. Re: selecting data by refinement level (Klaus Weide)
>> >
>> >
>> > ----------------------------------------------------------------------
>> >
>> > Message: 1
>> > Date: Wed, 7 Jun 2017 13:53:49 -0500 (CDT)
>> > From: Klaus Weide <klaus at flash.uchicago.edu>
>> > To: Discussion of the yt analysis package
>> > <yt-users at lists.spacepope.org>
>> > Subject: Re: [yt-users] selecting data by refinement level
>> > Message-ID: <Pine.LNX.4.64.1706071350010.1322 at flash.uchicago.edu>
>> > Content-Type: TEXT/PLAIN; charset=US-ASCII
>> >
>> > On Wed, 7 Jun 2017, Matthew Turk wrote:
>> >
>> > > Hi Klaus,
>> > >
>> > > Whoops, I said "grid_collection" but I meant "data_collection".
>> >
>> > Thanks Matt. I have not tried the 'collection of grids' approach yet,
>> but
>> > the following does what I want:
>> >
>> > ds = yt.load(dump_path)
>> >
>> > ad = ds.all_data()
>> > if fine_only:
>> > maxreflevel = ad.index.grid_levels.max()
>> > print '*** Filtering data so that only FLASH refinement
>> level
>> > {} cells are used'.format(maxreflevel+1)
>> > ad.min_level = maxreflevel
>> > ad.max_level = maxreflevel
>> > print 'These cover a volume of %s' % ad['cell_volume'].sum()
>> > # .....
>> > data = {}
>> > data['dens'] = ad['dens'].to_ndarray()
>> > # .....
>> >
>> >
>> > Klaus
>> >
>> >
>> > ------------------------------
>> >
>> > Message: 2
>> > Date: Wed, 7 Jun 2017 13:56:51 -0500
>> > From: Matthew Turk <matthewturk at gmail.com>
>> > To: Discussion of the yt analysis package
>> > <yt-users at lists.spacepope.org>
>> > Subject: Re: [yt-users] selecting data by refinement level
>> > Message-ID:
>> > <CALO3=5HbBWfPj8hf5KEwMq1CiU932Q_u+=hHcBzYirQzGYCm3A at mail.
>> > gmail.com>
>> > Content-Type: text/plain; charset="UTF-8"
>> >
>> > Great! As a quick note, you can use `.d` as shorthand for
>> > `to_ndarray()`. The YTArray it returns is a subclass of ndarray, so
>> > should in general be usable in both ways; as you probably figured out,
>> > if you do any manipulation of individual elements it adds overhead and
>> > (often frustrating, but hopefully ultimately helpful), restrictions on
>> > combining incorrect units unless you look at it as a strict ndarray.
>> >
>> > On Wed, Jun 7, 2017 at 1:53 PM, Klaus Weide <klaus at flash.uchicago.edu>
>> > wrote:
>> > > On Wed, 7 Jun 2017, Matthew Turk wrote:
>> > >
>> > >> Hi Klaus,
>> > >>
>> > >> Whoops, I said "grid_collection" but I meant "data_collection".
>> > >
>> > > Thanks Matt. I have not tried the 'collection of grids' approach yet,
>> but
>> > > the following does what I want:
>> > >
>> > > ds = yt.load(dump_path)
>> > >
>> > > ad = ds.all_data()
>> > > if fine_only:
>> > > maxreflevel = ad.index.grid_levels.max()
>> > > print '*** Filtering data so that only FLASH refinement
>> > level {} cells are used'.format(maxreflevel+1)
>> > > ad.min_level = maxreflevel
>> > > ad.max_level = maxreflevel
>> > > print 'These cover a volume of %s' %
>> ad['cell_volume'].sum()
>> > > # .....
>> > > data = {}
>> > > data['dens'] = ad['dens'].to_ndarray()
>> > > # .....
>> > >
>> > >
>> > > Klaus
>> > > _______________________________________________
>> > > yt-users mailing list
>> > > yt-users at lists.spacepope.org
>> > > http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
>> >
>> >
>> > ------------------------------
>> >
>> > Message: 3
>> > Date: Wed, 7 Jun 2017 12:00:44 -0700
>> > From: Nathan Goldbaum <nathan12343 at gmail.com>
>> > To: Discussion of the yt analysis package
>> > <yt-users at lists.spacepope.org>
>> > Subject: Re: [yt-users] selecting data by refinement level
>> > Message-ID:
>> > <CAJXewO=gk4Fqrh_fKxmgKVu9vgu53TVQd0P0-Ra5wBBSPm-_Gg at mail.
>> > gmail.com>
>> > Content-Type: text/plain; charset="utf-8"
>> >
>> > On Wed, Jun 7, 2017 at 11:56 AM, Matthew Turk <matthewturk at gmail.com>
>> > wrote:
>> >
>> > > Great! As a quick note, you can use `.d` as shorthand for
>> > > `to_ndarray()`. The YTArray it returns is a subclass of ndarray, so
>> > > should in general be usable in both ways; as you probably figured out,
>> > > if you do any manipulation of individual elements it adds overhead and
>> > > (often frustrating, but hopefully ultimately helpful), restrictions on
>> > > combining incorrect units unless you look at it as a strict ndarray.
>> > >
>> >
>> > One tiny note:
>> >
>> > YTArray.d is short for YTArray.ndarray_view(), which returns a view onto
>> > the array. This doesn't copy the underlying data.
>> >
>> > YTArray.to_ndarray() is equivalend to YTArray.value or YTArray.v, whcih
>> > returns an ndarray containing a copy of the underlying array data.
>> Getting
>> > a copy sometimes adds overhead.
>> >
>> > Choosing whether or now you want a copy comes down to what exactly you
>> are
>> > doing, since copying adds overhead, but it also prevents silently
>> > overwriting data in an unexpected, nonlocal fashion.
>> >
>> >
>> > >
>> > > On Wed, Jun 7, 2017 at 1:53 PM, Klaus Weide <klaus at flash.uchicago.edu
>> >
>> > > wrote:
>> > > > On Wed, 7 Jun 2017, Matthew Turk wrote:
>> > > >
>> > > >> Hi Klaus,
>> > > >>
>> > > >> Whoops, I said "grid_collection" but I meant "data_collection".
>> > > >
>> > > > Thanks Matt. I have not tried the 'collection of grids' approach
>> yet,
>> > but
>> > > > the following does what I want:
>> > > >
>> > > > ds = yt.load(dump_path)
>> > > >
>> > > > ad = ds.all_data()
>> > > > if fine_only:
>> > > > maxreflevel = ad.index.grid_levels.max()
>> > > > print '*** Filtering data so that only FLASH refinement
>> > > level {} cells are used'.format(maxreflevel+1)
>> > > > ad.min_level = maxreflevel
>> > > > ad.max_level = maxreflevel
>> > > > print 'These cover a volume of %s' %
>> > ad['cell_volume'].sum()
>> > > > # .....
>> > > > data = {}
>> > > > data['dens'] = ad['dens'].to_ndarray()
>> > > > # .....
>> > > >
>> > > >
>> > > > Klaus
>> > > > _______________________________________________
>> > > > yt-users mailing list
>> > > > yt-users at lists.spacepope.org
>> > > > http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
>> > > _______________________________________________
>> > > yt-users mailing list
>> > > yt-users at lists.spacepope.org
>> > > http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
>> > >
>> > -------------- next part --------------
>> > An HTML attachment was scrubbed...
>> > URL: <http://lists.spacepope.org/pipermail/yt-users-spacepope.org
>> > /attachments/20170607/6450bc9f/attachment.html>
>> >
>> > ------------------------------
>> >
>> > Message: 4
>> > Date: Wed, 7 Jun 2017 14:45:52 -0500 (CDT)
>> > From: Klaus Weide <klaus at flash.uchicago.edu>
>> > To: Discussion of the yt analysis package
>> > <yt-users at lists.spacepope.org>
>> > Subject: Re: [yt-users] selecting data by refinement level
>> > Message-ID: <Pine.LNX.4.64.1706071443510.1322 at flash.uchicago.edu>
>> > Content-Type: TEXT/PLAIN; charset=US-ASCII
>> >
>> > On Wed, 7 Jun 2017, Nathan Goldbaum wrote:
>> > > On Wed, Jun 7, 2017 at 11:56 AM, Matthew Turk <matthewturk at gmail.com>
>> > wrote:
>> > >
>> > > > Great! As a quick note, you can use `.d` as shorthand for
>> > > > `to_ndarray()`.
>> >
>> > > One tiny note:
>> > >
>> > > YTArray.d is short for YTArray.ndarray_view(), which returns a view
>> onto
>> > > the array. This doesn't copy the underlying data.
>> >
>> > Matt and Nathan,
>> >
>> > Thanks for the additional info, I think it's very useful to know.
>> >
>> > Klaus
>> >
>> >
>> > ------------------------------
>> >
>> > Subject: Digest Footer
>> >
>> > _______________________________________________
>> > yt-users mailing list
>> > yt-users at lists.spacepope.org
>> > http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
>> >
>> >
>> > ------------------------------
>> >
>> > End of yt-users Digest, Vol 112, Issue 5
>> > ****************************************
>> >
>>
>>
>>
>> --
>> *SK2*
>>
>> *"**Claiming that something can move faster than light is a good
>> conversation-stopper in physics. People edge away from you in cocktail
>> parties; friends never return phone calls. You just don?t mess with Albert
>> Einstein.**"*
>> -------------- next part --------------
>> An HTML attachment was scrubbed...
>> URL: <http://lists.spacepope.org/pipermail/yt-users-spacepope.org
>> /attachments/20170609/f3381db8/attachment-0001.htm>
>>
>> ------------------------------
>>
>> Message: 2
>> Date: Fri, 09 Jun 2017 14:10:49 +0000
>> From: Nathan Goldbaum <nathan12343 at gmail.com>
>> To: Discussion of the yt analysis package
>> <yt-users at lists.spacepope.org>
>> Subject: Re: [yt-users] Normalized axis
>> Message-ID:
>> <CAJXewOk5YFHL90v0dRwJZL5M5OzQypAh6iNabrUm-W7EJ0BaMg at mail.gm
>> ail.com>
>> Content-Type: text/plain; charset="utf-8"
>>
>> Try to use plot.set_axes_unit("unitary").
>>
>> On Fri, Jun 9, 2017 at 9:08 AM Sushilkumar <sushil.sush19us at gmail.com>
>> wrote:
>>
>> > Dear yt
>> >
>> > How do I label the axis of a plot in normalized values?
>> >
>> > On my plot I want to label my x and y axis in terms of the vertical
>> line.
>> >
>> > Do I use convert_to_plot under streamlines?
>> >
>> > Link to the plot and script is below
>> >
>> > https://drive.google.com/open?id=0B4g8shg4DL7oak5PLWVVdG5UMHc
>> >
>> > Thanks in advance
>> >
>> >
>> >
>> > On Thu, Jun 8, 2017 at 1:01 PM, <yt-users-request at lists.spacepope.org>
>> > wrote:
>> >
>> >> Send yt-users mailing list submissions to
>> >> yt-users at lists.spacepope.org
>> >>
>> >> To subscribe or unsubscribe via the World Wide Web, visit
>> >> http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
>> >> or, via email, send a message with subject or body 'help' to
>> >> yt-users-request at lists.spacepope.org
>> >>
>> >> You can reach the person managing the list at
>> >> yt-users-owner at lists.spacepope.org
>> >>
>> >> When replying, please edit your Subject line so it is more specific
>> >> than "Re: Contents of yt-users digest..."
>> >>
>> >>
>> >> Today's Topics:
>> >>
>> >> 1. Re: selecting data by refinement level (Klaus Weide)
>> >> 2. Re: selecting data by refinement level (Matthew Turk)
>> >> 3. Re: selecting data by refinement level (Nathan Goldbaum)
>> >> 4. Re: selecting data by refinement level (Klaus Weide)
>> >>
>> >>
>> >> ----------------------------------------------------------------------
>> >>
>> >> Message: 1
>> >> Date: Wed, 7 Jun 2017 13:53:49 -0500 (CDT)
>> >> From: Klaus Weide <klaus at flash.uchicago.edu>
>> >> To: Discussion of the yt analysis package
>> >> <yt-users at lists.spacepope.org>
>> >> Subject: Re: [yt-users] selecting data by refinement level
>> >> Message-ID: <Pine.LNX.4.64.1706071350010.1322 at flash.uchicago.edu>
>> >> Content-Type: TEXT/PLAIN; charset=US-ASCII
>> >>
>> >> On Wed, 7 Jun 2017, Matthew Turk wrote:
>> >>
>> >> > Hi Klaus,
>> >> >
>> >> > Whoops, I said "grid_collection" but I meant "data_collection".
>> >>
>> >> Thanks Matt. I have not tried the 'collection of grids' approach yet,
>> but
>> >> the following does what I want:
>> >>
>> >> ds = yt.load(dump_path)
>> >>
>> >> ad = ds.all_data()
>> >> if fine_only:
>> >> maxreflevel = ad.index.grid_levels.max()
>> >> print '*** Filtering data so that only FLASH refinement
>> level
>> >> {} cells are used'.format(maxreflevel+1)
>> >> ad.min_level = maxreflevel
>> >> ad.max_level = maxreflevel
>> >> print 'These cover a volume of %s' %
>> ad['cell_volume'].sum()
>> >> # .....
>> >> data = {}
>> >> data['dens'] = ad['dens'].to_ndarray()
>> >> # .....
>> >>
>> >>
>> >> Klaus
>> >>
>> >>
>> >> ------------------------------
>> >>
>> >> Message: 2
>> >> Date: Wed, 7 Jun 2017 13:56:51 -0500
>> >> From: Matthew Turk <matthewturk at gmail.com>
>> >> To: Discussion of the yt analysis package
>> >> <yt-users at lists.spacepope.org>
>> >> Subject: Re: [yt-users] selecting data by refinement level
>> >> Message-ID:
>> >> <CALO3=5HbBWfPj8hf5KEwMq1CiU932Q_u+=
>> >> hHcBzYirQzGYCm3A at mail.gmail.com>
>> >> Content-Type: text/plain; charset="UTF-8"
>> >>
>> >> Great! As a quick note, you can use `.d` as shorthand for
>> >> `to_ndarray()`. The YTArray it returns is a subclass of ndarray, so
>> >> should in general be usable in both ways; as you probably figured out,
>> >> if you do any manipulation of individual elements it adds overhead and
>> >> (often frustrating, but hopefully ultimately helpful), restrictions on
>> >> combining incorrect units unless you look at it as a strict ndarray.
>> >>
>> >> On Wed, Jun 7, 2017 at 1:53 PM, Klaus Weide <klaus at flash.uchicago.edu>
>> >> wrote:
>> >> > On Wed, 7 Jun 2017, Matthew Turk wrote:
>> >> >
>> >> >> Hi Klaus,
>> >> >>
>> >> >> Whoops, I said "grid_collection" but I meant "data_collection".
>> >> >
>> >> > Thanks Matt. I have not tried the 'collection of grids' approach yet,
>> >> but
>> >> > the following does what I want:
>> >> >
>> >> > ds = yt.load(dump_path)
>> >> >
>> >> > ad = ds.all_data()
>> >> > if fine_only:
>> >> > maxreflevel = ad.index.grid_levels.max()
>> >> > print '*** Filtering data so that only FLASH refinement
>> >> level {} cells are used'.format(maxreflevel+1)
>> >> > ad.min_level = maxreflevel
>> >> > ad.max_level = maxreflevel
>> >> > print 'These cover a volume of %s' %
>> ad['cell_volume'].sum()
>> >> > # .....
>> >> > data = {}
>> >> > data['dens'] = ad['dens'].to_ndarray()
>> >> > # .....
>> >> >
>> >> >
>> >> > Klaus
>> >> > _______________________________________________
>> >> > yt-users mailing list
>> >> > yt-users at lists.spacepope.org
>> >> > http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
>> >>
>> >>
>> >> ------------------------------
>> >>
>> >> Message: 3
>> >> Date: Wed, 7 Jun 2017 12:00:44 -0700
>> >> From: Nathan Goldbaum <nathan12343 at gmail.com>
>> >> To: Discussion of the yt analysis package
>> >> <yt-users at lists.spacepope.org>
>> >> Subject: Re: [yt-users] selecting data by refinement level
>> >> Message-ID:
>> >> <CAJXewO=
>> >> gk4Fqrh_fKxmgKVu9vgu53TVQd0P0-Ra5wBBSPm-_Gg at mail.gmail.com>
>> >> Content-Type: text/plain; charset="utf-8"
>> >>
>> >> On Wed, Jun 7, 2017 at 11:56 AM, Matthew Turk <matthewturk at gmail.com>
>> >> wrote:
>> >>
>> >> > Great! As a quick note, you can use `.d` as shorthand for
>> >> > `to_ndarray()`. The YTArray it returns is a subclass of ndarray, so
>> >> > should in general be usable in both ways; as you probably figured
>> out,
>> >> > if you do any manipulation of individual elements it adds overhead
>> and
>> >> > (often frustrating, but hopefully ultimately helpful), restrictions
>> on
>> >> > combining incorrect units unless you look at it as a strict ndarray.
>> >> >
>> >>
>> >> One tiny note:
>> >>
>> >> YTArray.d is short for YTArray.ndarray_view(), which returns a view
>> onto
>> >> the array. This doesn't copy the underlying data.
>> >>
>> >> YTArray.to_ndarray() is equivalend to YTArray.value or YTArray.v, whcih
>> >> returns an ndarray containing a copy of the underlying array data.
>> Getting
>> >> a copy sometimes adds overhead.
>> >>
>> >> Choosing whether or now you want a copy comes down to what exactly you
>> are
>> >> doing, since copying adds overhead, but it also prevents silently
>> >> overwriting data in an unexpected, nonlocal fashion.
>> >>
>> >>
>> >> >
>> >> > On Wed, Jun 7, 2017 at 1:53 PM, Klaus Weide <
>> klaus at flash.uchicago.edu>
>> >> > wrote:
>> >> > > On Wed, 7 Jun 2017, Matthew Turk wrote:
>> >> > >
>> >> > >> Hi Klaus,
>> >> > >>
>> >> > >> Whoops, I said "grid_collection" but I meant "data_collection".
>> >> > >
>> >> > > Thanks Matt. I have not tried the 'collection of grids' approach
>> yet,
>> >> but
>> >> > > the following does what I want:
>> >> > >
>> >> > > ds = yt.load(dump_path)
>> >> > >
>> >> > > ad = ds.all_data()
>> >> > > if fine_only:
>> >> > > maxreflevel = ad.index.grid_levels.max()
>> >> > > print '*** Filtering data so that only FLASH refinement
>> >> > level {} cells are used'.format(maxreflevel+1)
>> >> > > ad.min_level = maxreflevel
>> >> > > ad.max_level = maxreflevel
>> >> > > print 'These cover a volume of %s' %
>> >> ad['cell_volume'].sum()
>> >> > > # .....
>> >> > > data = {}
>> >> > > data['dens'] = ad['dens'].to_ndarray()
>> >> > > # .....
>> >> > >
>> >> > >
>> >> > > Klaus
>> >> > > _______________________________________________
>> >> > > yt-users mailing list
>> >> > > yt-users at lists.spacepope.org
>> >> > > http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
>> >> > _______________________________________________
>> >> > yt-users mailing list
>> >> > yt-users at lists.spacepope.org
>> >> > http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
>> >> >
>> >> -------------- next part --------------
>> >> An HTML attachment was scrubbed...
>> >> URL: <
>> >> http://lists.spacepope.org/pipermail/yt-users-spacepope.org/
>> attachments/20170607/6450bc9f/attachment.html
>> >> >
>> >>
>> >> ------------------------------
>> >>
>> >> Message: 4
>> >> Date: Wed, 7 Jun 2017 14:45:52 -0500 (CDT)
>> >> From: Klaus Weide <klaus at flash.uchicago.edu>
>> >> To: Discussion of the yt analysis package
>> >> <yt-users at lists.spacepope.org>
>> >> Subject: Re: [yt-users] selecting data by refinement level
>> >> Message-ID: <Pine.LNX.4.64.1706071443510.1322 at flash.uchicago.edu>
>> >> Content-Type: TEXT/PLAIN; charset=US-ASCII
>> >>
>> >> On Wed, 7 Jun 2017, Nathan Goldbaum wrote:
>> >> > On Wed, Jun 7, 2017 at 11:56 AM, Matthew Turk <matthewturk at gmail.com
>> >
>> >> wrote:
>> >> >
>> >> > > Great! As a quick note, you can use `.d` as shorthand for
>> >> > > `to_ndarray()`.
>> >>
>> >> > One tiny note:
>> >> >
>> >> > YTArray.d is short for YTArray.ndarray_view(), which returns a view
>> onto
>> >> > the array. This doesn't copy the underlying data.
>> >>
>> >> Matt and Nathan,
>> >>
>> >> Thanks for the additional info, I think it's very useful to know.
>> >>
>> >> Klaus
>> >>
>> >>
>> >> ------------------------------
>> >>
>> >> Subject: Digest Footer
>> >>
>> >> _______________________________________________
>> >> yt-users mailing list
>> >> yt-users at lists.spacepope.org
>> >> http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
>> >>
>> >>
>> >> ------------------------------
>> >>
>> >> End of yt-users Digest, Vol 112, Issue 5
>> >> ****************************************
>> >>
>> >
>> >
>> >
>> > --
>> > *SK2*
>> >
>> > *"**Claiming that something can move faster than light is a good
>> > conversation-stopper in physics. People edge away from you in cocktail
>> > parties; friends never return phone calls. You just don?t mess with
>> Albert
>> > Einstein.**"*
>> >
>> > _______________________________________________
>> > yt-users mailing list
>> > yt-users at lists.spacepope.org
>> > http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
>> >
>> -------------- next part --------------
>> An HTML attachment was scrubbed...
>> URL: <http://lists.spacepope.org/pipermail/yt-users-spacepope.org
>> /attachments/20170609/f3281531/attachment.htm>
>>
>> ------------------------------
>>
>> Subject: Digest Footer
>>
>> _______________________________________________
>> yt-users mailing list
>> yt-users at lists.spacepope.org
>> http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
>>
>>
>> ------------------------------
>>
>> End of yt-users Digest, Vol 112, Issue 6
>> ****************************************
>>
>
>
>
> --
> *SK2*
>
> *"**Claiming that something can move faster than light is a good
> conversation-stopper in physics. People edge away from you in cocktail
> parties; friends never return phone calls. You just don’t mess with Albert
> Einstein.**"*
>
>
--
*SK2*
*"**Claiming that something can move faster than light is a good
conversation-stopper in physics. People edge away from you in cocktail
parties; friends never return phone calls. You just don’t mess with Albert
Einstein.**"*
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