You can subscribe to this list here.
| 2003 |
Jan
|
Feb
|
Mar
|
Apr
|
May
(3) |
Jun
|
Jul
|
Aug
(12) |
Sep
(12) |
Oct
(56) |
Nov
(65) |
Dec
(37) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004 |
Jan
(59) |
Feb
(78) |
Mar
(153) |
Apr
(205) |
May
(184) |
Jun
(123) |
Jul
(171) |
Aug
(156) |
Sep
(190) |
Oct
(120) |
Nov
(154) |
Dec
(223) |
| 2005 |
Jan
(184) |
Feb
(267) |
Mar
(214) |
Apr
(286) |
May
(320) |
Jun
(299) |
Jul
(348) |
Aug
(283) |
Sep
(355) |
Oct
(293) |
Nov
(232) |
Dec
(203) |
| 2006 |
Jan
(352) |
Feb
(358) |
Mar
(403) |
Apr
(313) |
May
(165) |
Jun
(281) |
Jul
(316) |
Aug
(228) |
Sep
(279) |
Oct
(243) |
Nov
(315) |
Dec
(345) |
| 2007 |
Jan
(260) |
Feb
(323) |
Mar
(340) |
Apr
(319) |
May
(290) |
Jun
(296) |
Jul
(221) |
Aug
(292) |
Sep
(242) |
Oct
(248) |
Nov
(242) |
Dec
(332) |
| 2008 |
Jan
(312) |
Feb
(359) |
Mar
(454) |
Apr
(287) |
May
(340) |
Jun
(450) |
Jul
(403) |
Aug
(324) |
Sep
(349) |
Oct
(385) |
Nov
(363) |
Dec
(437) |
| 2009 |
Jan
(500) |
Feb
(301) |
Mar
(409) |
Apr
(486) |
May
(545) |
Jun
(391) |
Jul
(518) |
Aug
(497) |
Sep
(492) |
Oct
(429) |
Nov
(357) |
Dec
(310) |
| 2010 |
Jan
(371) |
Feb
(657) |
Mar
(519) |
Apr
(432) |
May
(312) |
Jun
(416) |
Jul
(477) |
Aug
(386) |
Sep
(419) |
Oct
(435) |
Nov
(320) |
Dec
(202) |
| 2011 |
Jan
(321) |
Feb
(413) |
Mar
(299) |
Apr
(215) |
May
(284) |
Jun
(203) |
Jul
(207) |
Aug
(314) |
Sep
(321) |
Oct
(259) |
Nov
(347) |
Dec
(209) |
| 2012 |
Jan
(322) |
Feb
(414) |
Mar
(377) |
Apr
(179) |
May
(173) |
Jun
(234) |
Jul
(295) |
Aug
(239) |
Sep
(276) |
Oct
(355) |
Nov
(144) |
Dec
(108) |
| 2013 |
Jan
(170) |
Feb
(89) |
Mar
(204) |
Apr
(133) |
May
(142) |
Jun
(89) |
Jul
(160) |
Aug
(180) |
Sep
(69) |
Oct
(136) |
Nov
(83) |
Dec
(32) |
| 2014 |
Jan
(71) |
Feb
(90) |
Mar
(161) |
Apr
(117) |
May
(78) |
Jun
(94) |
Jul
(60) |
Aug
(83) |
Sep
(102) |
Oct
(132) |
Nov
(154) |
Dec
(96) |
| 2015 |
Jan
(45) |
Feb
(138) |
Mar
(176) |
Apr
(132) |
May
(119) |
Jun
(124) |
Jul
(77) |
Aug
(31) |
Sep
(34) |
Oct
(22) |
Nov
(23) |
Dec
(9) |
| 2016 |
Jan
(26) |
Feb
(17) |
Mar
(10) |
Apr
(8) |
May
(4) |
Jun
(8) |
Jul
(6) |
Aug
(5) |
Sep
(9) |
Oct
(4) |
Nov
|
Dec
|
| 2017 |
Jan
(5) |
Feb
(7) |
Mar
(1) |
Apr
(5) |
May
|
Jun
(3) |
Jul
(6) |
Aug
(1) |
Sep
|
Oct
(2) |
Nov
(1) |
Dec
|
| 2018 |
Jan
|
Feb
|
Mar
|
Apr
(1) |
May
|
Jun
|
Jul
|
Aug
|
Sep
|
Oct
|
Nov
|
Dec
|
| 2020 |
Jan
|
Feb
|
Mar
|
Apr
|
May
(1) |
Jun
|
Jul
|
Aug
|
Sep
|
Oct
|
Nov
|
Dec
|
| 2025 |
Jan
(1) |
Feb
|
Mar
|
Apr
|
May
|
Jun
|
Jul
|
Aug
|
Sep
|
Oct
|
Nov
|
Dec
|
| S | M | T | W | T | F | S |
|---|---|---|---|---|---|---|
|
|
|
|
|
1
(11) |
2
(2) |
3
(2) |
|
4
|
5
(1) |
6
(6) |
7
(9) |
8
(5) |
9
(1) |
10
(1) |
|
11
(1) |
12
(7) |
13
(6) |
14
(3) |
15
(1) |
16
(10) |
17
(1) |
|
18
(2) |
19
(3) |
20
(14) |
21
(14) |
22
(18) |
23
(5) |
24
(5) |
|
25
(1) |
26
(22) |
27
(5) |
28
(21) |
29
(25) |
30
(3) |
|
|
From: Randy H. <he...@in...> - 2004-04-08 19:04:59
|
Thanks much John & Perry! Part of my confusion was the fact that I'm
using numarray on my laptop/Windows and Numeric on Linux... and I was in
a hurry... and general ignorance. Anyway, thanks again.
Randy
> -----Original Message-----
> From: Perry Greenfield [mailto:pe...@st...]
> Sent: Thursday, April 08, 2004 1:48 PM
> To: John Hunter; Randy Heiland
> Cc: mat...@li...
> Subject: RE: [Matplotlib-users] writing binary array to file
>
> John Hunter wrote:
> > Best is to use the binary string operations tostring and fromstring
> >
> > from Numeric import fromstring, Float
> > # write
> > file('fname.out', 'wb').write(x.tostring())
> >
> > # read
> > x = fromstring(file('fname.out', 'rb').read(), Float)
> >
> > #If data is MxN you'll need to reshape
> > x.shape = M,N
> >
> > Hope this help,
> > JDH
> >
>
> Note that numarray has a tofile method and a fromfile function
> to do this without going through the copying required by tostring
> and fromstring. Like those, it also doesn't save any shape or
> type info in the file.
>
> Perry
>
|
|
From: John H. <jdh...@ac...> - 2004-04-08 18:50:24
|
>>>>> "Greg" == Greg Whittier <gr...@th...> writes:
Greg> but currently there doesn't seem to be a way to discern
Greg> whether the current xaxis.viewlim was manually set or is the
Greg> result of autoscale. Should this be a feature (set_xlim
Greg> "sticks")? Does Axis need an autoscale attribute to enable
Greg> this?
OK, just added this to CVS. Thanks for the suggestion. Until the
next release, you can just put the xlim set after the plot commands.
Greg> This is version 0.52 (which btw has matplotlib.version set
Greg> to '0.51').
Fixed - thanks,
JDH
|
|
From: Perry G. <pe...@st...> - 2004-04-08 18:47:53
|
John Hunter wrote:
> Best is to use the binary string operations tostring and fromstring
>
> from Numeric import fromstring, Float
> # write
> file('fname.out', 'wb').write(x.tostring())
>
> # read
> x = fromstring(file('fname.out', 'rb').read(), Float)
>
> #If data is MxN you'll need to reshape
> x.shape = M,N
>
> Hope this help,
> JDH
>
Note that numarray has a tofile method and a fromfile function
to do this without going through the copying required by tostring
and fromstring. Like those, it also doesn't save any shape or
type info in the file.
Perry
|
|
From: John H. <jdh...@ac...> - 2004-04-08 18:41:35
|
>>>>> "Randy" == Randy Heiland <he...@in...> writes:
Randy> What's the easiest way to write a Numeric array to a file?
Easiest or best?
In the next release I've added load and save funcs for converting
arrays to and from ascii files. But this is slow and generally lossy.
Best is to use the binary string operations tostring and fromstring
from Numeric import fromstring, Float
# write
file('fname.out', 'wb').write(x.tostring())
# read
x = fromstring(file('fname.out', 'rb').read(), Float)
#If data is MxN you'll need to reshape
x.shape = M,N
Hope this help,
JDH
|
|
From: Randy H. <he...@in...> - 2004-04-08 17:38:49
|
What's the easiest way to write a Numeric array to a file? Thanks! --Randy |