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
(4) |
2
(4) |
3
|
4
(5) |
5
|
6
(9) |
7
(1) |
8
(1) |
9
(1) |
10
|
11
(2) |
12
(6) |
13
(5) |
14
(3) |
15
(1) |
16
(1) |
17
(2) |
18
(7) |
19
(1) |
20
(4) |
21
(8) |
22
(3) |
23
(3) |
24
|
25
(1) |
26
(3) |
27
(5) |
28
(3) |
29
|
30
|
I've pulled my hair out for the past day trying to solve this problem and have done extensive searches to no avail. Here's my situation: I have data from an autonomous underwater vehicle. I have three np arrays to plot: 1) time on the x axis 2) vehicle depth on the y axis 3) sensor reading to set the color for the scatter plot at time/depth point. Unfortunately for me the vehicle reports sensors at different rates which means that I might have a time and depth stamp with a 'NaN' for the sensor value. The x/y portion of scatter deals with the NaNs with no problem, but when I call scatter(time, depth, c=mySensorArray) and mySensorArray contains a 'NaN' matplotlib borks. I have not been able to come up with a method to allow the values of the sensor being plotted to set the color of the scatter or skip the entry when the value is a 'NaN'. What complicates the matter is that we're only gathering data on the upward profile of the vehicle. Until recently we collected data on both up and down legs of the Yo, so I was able to simply interpolate and fill in the NaN values with the interpolated result and achieve gorgeous scatter plots. That doesn't work when the data stops being gathered at the top of the Yo... interpolating simply repeats the last value all the way back down to the bottom when data values start getting collected again. Thanks for any pointers... I'm really stumped. Bob Currier -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Scatterplot-c-arg-and-NaN-values-autonomous-underwater-vehicle-tp42494.html Sent from the matplotlib - users mailing list archive at Nabble.com.
Hello everyone, so I've run into a bit of a problem while embedding a matplotlib plot into a GTK3 application. Everything's working fine as always, except the scroll_event seems to get stuck somewhere and my callback is never called. The button_press_event works. Apologies in advance if I missed something, but something somewhere doesn't seem to be quite right. Please let me know if I need to file a bug report? Minimal example to demonstrate the problem: [1] With pyplot it works just fine: [2] Regards, Patrick [1] GTK3Agg minimal example from gi.repository import Gtk, Gdk from matplotlib.figure import Figure from matplotlib.backends.backend_gtk3agg import FigureCanvasGTK3Agg as FigCanvas def on_press(canvas, event): print "press!" def on_scroll(canvas, event): print "scroll!" window = Gtk.Window() window.connect("delete-event", Gtk.main_quit) figure = Figure(figsize=(5,4), dpi=100) plot = figure.add_subplot(111) plot.plot([0,0.5,2]) canvas = FigCanvas(figure) canvas.connect('button_press_event', on_press) canvas.connect('scroll_event', on_scroll) window.add(canvas) window.show_all() Gtk.main() [2] pyplot minimal example import matplotlib.pyplot as plt plt.plot([0,0.5,2]) fig = plt.gcf() def on_click(event): print "press!" def on_scroll(event): print "scroll!" fig.canvas.mpl_connect('button_press_event', on_click) fig.canvas.mpl_connect('scroll_event', on_scroll) plt.show()
On Tue, Nov 12, 2013 at 8:01 PM, Ted To <rai...@th...> wrote: > Perfect! Many thanks! Seems to be an undocumented feature... > > Not undocumented. In the docs for hist(), it says that it accepts any parameter that is used for Patch artists. This is also generally true for many of the other plotting functions. They usually take any additional keyword arguments that could be passed on to whatever the artist is that is returned. This isn't a hard-and-fast rule, but it is true more often than not. > Out of curiosity, what is the rationale behind using 'dashed' and > 'dashdot' instead of '--' and '-.'? > > This is an inadvertent oversight. I noted this in https://github.com/matplotlib/matplotlib/issues/2136 Cheers! Ben Root
Hi, i'm trying to use "\color" command in text (setting 'text.usetex' = True and rc('text.latex', preamble='\usepackage{color}')) to color only a part of entire string; it works with PS backend, with other backends font color is overwritten by default rc color. is it a bug? is there a way to use "\color" with other backends? thanks in advance. -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Latex-color-command-works-only-with-PS-backend-tp42490.html Sent from the matplotlib - users mailing list archive at Nabble.com.
Perfect! Many thanks! Seems to be an undocumented feature... Out of curiosity, what is the rationale behind using 'dashed' and 'dashdot' instead of '--' and '-.'? Ted To On 11/12/2013 04:59 PM, Benjamin Root wrote: > > > > On Tue, Nov 12, 2013 at 4:26 PM, Ted To <rai...@th... > <mailto:rai...@th...>> wrote: > > Hi, > > Is there an option to change the line style for the outline of histogram > bars? What I am looking for some something like the attached kernel > density plot. I can set different colors (attached) but this is not > very useful when printing in black and white. > > Thanks, > Ted To > > > You should be able to specify linestyle='dashed' (or 'dashdot', or > 'dotted') when you call hist(). > > I hope that helps! > Ben Root