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
(16) |
2
(8) |
3
(4) |
4
|
|
5
|
6
(3) |
7
(11) |
8
(16) |
9
(1) |
10
(2) |
11
(2) |
|
12
(6) |
13
(2) |
14
(4) |
15
(5) |
16
(10) |
17
(5) |
18
|
|
19
|
20
|
21
(3) |
22
|
23
(12) |
24
(7) |
25
(1) |
|
26
|
27
(3) |
28
(4) |
29
(5) |
30
(2) |
|
|
|
From: Thomas C. <tca...@gm...> - 2015-04-25 20:20:44
|
Jesper,
Can you open an issue on this on github. If you are feeling ambitious a
pull request fixing the bug (as you seem to have a good idea of where the
problem is) would also be great!
Tom
On Fri, Apr 24, 2015 at 8:38 AM Jesper Larsen <jes...@gm...>
wrote:
> Hi Matplotlib Users,
>
> When I make wind barbs with rounding enabled and custom barb increments I
> noticed that there were no wind barbs with half barbs above 2 full barbs.
> The reason seems to be a bug in the _find_tails method. The bug is
> illustrated by this small script (_find_tails is a copy of the one in
> matplotlib):
>
> import numpy as np
>
> def _find_tails(self, mag, rounding=True, half=5, full=10, flag=50):
> '''
> Find how many of each of the tail pieces is necessary. Flag
> specifies the increment for a flag, barb for a full barb, and half for
> half a barb. Mag should be the magnitude of a vector (ie. >= 0).
>
> This returns a tuple of:
>
> (*number of flags*, *number of barbs*, *half_flag*, *empty_flag*)
>
> *half_flag* is a boolean whether half of a barb is needed,
> since there should only ever be one half on a given
> barb. *empty_flag* flag is an array of flags to easily tell if
> a barb is empty (too low to plot any barbs/flags.
> '''
>
> #If rounding, round to the nearest multiple of half, the smallest
> #increment
> if rounding:
> mag = half * (mag / half + 0.5).astype(np.int)
>
> num_flags = np.floor(mag / flag).astype(np.int)
> mag = np.mod(mag, flag)
>
> num_barb = np.floor(mag / full).astype(np.int)
> mag = np.mod(mag, full)
>
> half_flag = mag >= half
> empty_flag = ~(half_flag | (num_flags > 0) | (num_barb > 0))
>
> return num_flags, num_barb, half_flag, empty_flag
>
> def main():
> mag = np.arange(0,21,1)
> barb_incs = {'half': 2.57222,
> 'full': 5.14444,
> 'flag': 25.7222}
> print 'With rounding'
> num_flags, num_barb, half_flag, empty_flag = _find_tails(None, mag,
> rounding=True, **barb_incs)
> for i in range(len(mag)):
> print mag[i], num_flags[i], num_barb[i], half_flag[i],
> empty_flag[i]
> print 'Without rounding'
> num_flags, num_barb, half_flag, empty_flag = _find_tails(None, mag,
> rounding=False, **barb_incs)
> for i in range(len(mag)):
> print mag[i], num_flags[i], num_barb[i], half_flag[i],
> empty_flag[i]
>
> if __name__ == '__main__':
> exit(main())
>
> It seems like the error is not present when the barb increments are not
> set. I believe the reason for the bug is the float comparison (half_flag =
> mag >= half) where the value is rounded to a value very close to/identical
> to the 'half' increment. And it seems like python does the right thing when
> the "half" increment is a whole number but not always when it is not.
>
> But in any case the code should probably not depend two floats being equal.
>
> Best regards,
> Jesper
>
> ------------------------------------------------------------------------------
> One dashboard for servers and applications across Physical-Virtual-Cloud
> Widest out-of-the-box monitoring support with 50+ applications
> Performance metrics, stats and reports that give you Actionable Insights
> Deep dive visibility with transaction tracing using APM Insight.
> http://ad.doubleclick.net/ddm/clk/290420510;117567292;y
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
|