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Showing 7 results of 7

From: Jody K. <jk...@uv...> - 2013年03月04日 20:54:40
Hi Sudheer,
You want contourf.
http://matplotlib.org/examples/pylab_examples/contour_image.html
Cheers, Jody
On Mar 4, 2013, at 9:04 AM, Sudheer Joseph <sud...@ya...> wrote:
> Hi Benamin,
> I was looking for a plot similar to the attached one named ferret.gif. But from matplot lib I get flat fill and contours which are not aligned to the levels ( named figure_1.png , it looks like matplotlib has just flat surfaces as it used pcolor.
> 
> with best regards,
> Sudheer
> 
> From: Sudheer Joseph <sud...@ya...>
> To: Benjamin Root <ben...@ou...> 
> Cc: "Mat...@li..." <mat...@li...> 
> Sent: Monday, 4 March 2013 8:19 PM
> Subject: Re: [Matplotlib-users] depth longitude plot
> 
> Thank you,
> I just posted this question in numpy lists thinking that it is possible after regriding the data to new axes. 
> Thanks for the help.
> with best regards,
> Sudheer
> 
> ***************************************************************
> Sudheer Joseph 
> Indian National Centre for Ocean Information Services
> Ministry of Earth Sciences, Govt. of India
> POST BOX NO: 21, IDA Jeedeemetla P.O.
> Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55
> Tel:+91-40-23886047(O),Fax:+91-40-23895011(O),
> Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile)
> E-mail:sjo...@gm...;sud...@ya...
> Web- http://oppamthadathil.tripod.com
> ***************************************************************
> From: Benjamin Root <ben...@ou...>
> To: Sudheer Joseph <sud...@ya...> 
> Cc: Phil Elson <pel...@gm...>; "Mat...@li..." <mat...@li...> 
> Sent: Monday, 4 March 2013 7:53 PM
> Subject: Re: [Matplotlib-users] depth longitude plot
> 
> 
> 
> On Sat, Mar 2, 2013 at 6:35 AM, Sudheer Joseph <sud...@ya...> wrote:
> Hi Phil,
> 
> Though iris looked to be promising it needed many other libraries, so I chose the below suggestion. But is there a way to overlay contours on this ? also is it possible to specify the levels?
> In [23]: plt.pcolormesh?? did not give much help
> with best regards,
> Sudheer
> 
> You can overlay contours on the pcolormesh image by simply using the plt.contour() function after the pcolormesh() call. It allows you to control which levels to contour and you can specify the attributes of those contours like the color or thickness. Note that unlike Matlab, you don't have to call "hold on" between plots. By default, matplotlib will hold.
> 
> I hope that helps!
> Ben Root
> 
> 
> 
> ------------------------------------------------------------------------------
> Everyone hates slow websites. So do we.
> Make your web apps faster with AppDynamics
> Download AppDynamics Lite for free today:
> http://p.sf.net/sfu/appdyn_d2d_feb
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 
> 
> <ferret.gif><figure_1.png>------------------------------------------------------------------------------
> Everyone hates slow websites. So do we.
> Make your web apps faster with AppDynamics
> Download AppDynamics Lite for free today:
> http://p.sf.net/sfu/appdyn_d2d_feb_______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
--
Jody Klymak 
http://web.uvic.ca/~jklymak/
From: Paul H. <pmh...@gm...> - 2013年03月04日 19:34:30
On Mon, Mar 4, 2013 at 11:23 AM, William Furnass <wi...@th...>wrote:
> Several backends will show you the x and y float values that
> correspond to the current cursor position in a plot() but are there
> backends that show the _datetime_ corresponding to the x position if
> the plotted data is a time series (e.g. a pandas.Series object with a
> DatetimeIndex)?
>
> Regards,
>
> Will
>
Will,
You can use the `format_coord` method of the axes objects to do just this.
-paul
From: William F. <wi...@th...> - 2013年03月04日 19:23:35
Several backends will show you the x and y float values that
correspond to the current cursor position in a plot() but are there
backends that show the _datetime_ corresponding to the x position if
the plotted data is a time series (e.g. a pandas.Series object with a
DatetimeIndex)?
Regards,
Will
From: Sudheer J. <sud...@ya...> - 2013年03月04日 17:05:10
Attachments: ferret.gif figure_1.png
Hi Benamin,
I was looking for a plot similar to the attached one named ferret.gif. But from matplot lib I get flat fill and contours which are not aligned to the levels ( named figure_1.png , it looks like matplotlib has just flat surfaces as it used pcolor.
with best regards,
Sudheer
From:Sudheer Joseph <sud...@ya...>
To: Benjamin Root <ben...@ou...> 
Cc: "Mat...@li..." <mat...@li...> 
Sent: Monday, 4 March 2013 8:19 PM
Subject: Re: [Matplotlib-users] depth longitude plot
 
Thank you,
            I just posted this question in numpy lists thinking that it is possible after regriding the data to new axes. 
Thanks for the help.
with best regards,
Sudheer
 
***************************************************************
Sudheer Joseph 
Indian National Centre for Ocean Information Services
Ministry of Earth Sciences, Govt. of India
POST BOX NO: 21, IDA Jeedeemetla P.O.
Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000
 55
Tel:+91-40-23886047(O),Fax:+91-40-23895011(O),
Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile)
E-mail:sjo...@gm...;sud...@ya...
Web- http://oppamthadathil.tripod.com
***************************************************************
________________________________
 From: Benjamin Root <ben...@ou...>
To: Sudheer Joseph <sud...@ya...> 
Cc: Phil Elson <pel...@gm...>; "Mat...@li..." <mat...@li...> 
Sent: Monday, 4 March 2013 7:53 PM
Subject: Re: [Matplotlib-users] depth longitude plot
 
On Sat, Mar 2, 2013 at 6:35 AM, Sudheer Joseph <sud...@ya...> wrote:
Hi Phil,
>
>
>Though iris looked to be promising it needed many other libraries, so I chose the below suggestion. But is there a way to overlay contours on this ? also is it possible to specify the levels?
>In [23]: plt.pcolormesh?? did not give much help
>
>with best regards,
>Sudheer
You can overlay contours on the pcolormesh image by simply using the plt.contour() function after the pcolormesh() call. It allows you to control which levels to contour and you can specify the attributes of those contours like the color or thickness. Note that unlike Matlab, you don't have to call "hold on" between plots. By default, matplotlib will hold.
I hope that helps!
Ben Root
------------------------------------------------------------------------------
Everyone hates slow websites. So do we.
Make your web apps faster with AppDynamics
Download AppDynamics Lite for free today:
http://p.sf.net/sfu/appdyn_d2d_feb
_______________________________________________
Matplotlib-users mailing list
Mat...@li...
https://lists.sourceforge.net/lists/listinfo/matplotlib-users 
From: Sudheer J. <sud...@ya...> - 2013年03月04日 14:49:30
Thank you,
            I just posted this question in numpy lists thinking that it is possible after regriding the data to new axes. 
Thanks for the help.
with best regards,
Sudheer
 
***************************************************************
Sudheer Joseph 
Indian National Centre for Ocean Information Services
Ministry of Earth Sciences, Govt. of India
POST BOX NO: 21, IDA Jeedeemetla P.O.
Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55
Tel:+91-40-23886047(O),Fax:+91-40-23895011(O),
Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile)
E-mail:sjo...@gm...;sud...@ya...
Web- http://oppamthadathil.tripod.com
***************************************************************
________________________________
 From: Benjamin Root <ben...@ou...>
To: Sudheer Joseph <sud...@ya...> 
Cc: Phil Elson <pel...@gm...>; "Mat...@li..." <mat...@li...> 
Sent: Monday, 4 March 2013 7:53 PM
Subject: Re: [Matplotlib-users] depth longitude plot
 
On Sat, Mar 2, 2013 at 6:35 AM, Sudheer Joseph <sud...@ya...> wrote:
Hi Phil,
>
>
>Though iris looked to be promising it needed many other libraries, so I chose the below suggestion. But is there a way to overlay contours on this ? also is it possible to specify the levels?
>In [23]: plt.pcolormesh?? did not give much help
>
>with best regards,
>Sudheer
You can overlay contours on the pcolormesh image by simply using the plt.contour() function after the pcolormesh() call. It allows you to control which levels to contour and you can specify the attributes of those contours like the color or thickness. Note that unlike Matlab, you don't have to call "hold on" between plots. By default, matplotlib will hold.
I hope that helps!
Ben Root
From: Benjamin R. <ben...@ou...> - 2013年03月04日 14:24:18
On Sat, Mar 2, 2013 at 6:35 AM, Sudheer Joseph <sud...@ya...>wrote:
> Hi Phil,
>
> Though iris looked to be promising it needed many other libraries, so I
> chose the below suggestion. But is there a way to overlay contours on this
> ? also is it possible to specify the levels?
> In [23]: plt.pcolormesh?? did not give much help
> with best regards,
> Sudheer
>
You can overlay contours on the pcolormesh image by simply using the
plt.contour() function after the pcolormesh() call. It allows you to
control which levels to contour and you can specify the attributes of those
contours like the color or thickness. Note that unlike Matlab, you don't
have to call "hold on" between plots. By default, matplotlib will hold.
I hope that helps!
Ben Root
From: vineeth <vin...@gm...> - 2013年03月04日 01:38:45
Attachments: test_hist.eps
Hello,
I have attached the histogram that I generated. When specifying large 
numbers like 1000 or more, the xticks tend to overlap and it gives a 
clumsy impression. Is there a way to avoid this?. What can be done to 
give gaps between the ticks?. Say in my case just show 3 to 4 ticks in x 
axis rather than specifying all the ticks. The following is my code:
def plotHistogram(veh_no, value, vehicle_no, fig_no):
 font = {'family' : 'serif',
 'weight' : 'normal',
 'size' : 10}
 rc('font', **font)
 count = 1
 legends = []
 print veh_no
 plt.figure(num=fig_no,dpi=105)
 for i in range(len(value)):
 ax = plt.subplot(2,2,i+1)
 n, bins, patches = plt.hist(value[i],100,label=veh_no[i])
 plt.ylabel('frequency',position=(0.5,0.5))
 plt.xlabel('x valuels')
 plt.grid()
 min_val = int(round(min(value[i]),0))
 max_val = int(round(max(value[i]),0))
 ax.set_xlim(min_val-2,max_val+2)
 locs,labels = plt.xticks()
 plt.xticks(locs, map(lambda x: "%g" % x, locs))
 plt.savefig('figurename.eps',dpi=70)
 count += 1
Thank You
Vineeth

Showing 7 results of 7

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