matplotlib-users Mailing List for matplotlib

Viridis is in the `cm` submodule.

from matplotlib import cm
cmap = cm.viridis

On Mon, Apr 25, 2016 at 6:24 PM, Sudheer Joseph <sud...@ya...>
wrote:

> Hi Paul,
>
> I tried to get the new colormap suggestion from you but could not get the
> colormap package. Where can I get it? google search did not took me to the
> package/
> Is it a development package?
>  May I know how to use  viridis color map  with an example plot?
>
>
> Below is an example code from the link you send
>
> '''
> For each colormap, plot the lightness parameter L* from CIELAB colorspace
> along the y axis vs index through the colormap. Colormaps are examined in
> categories as in the original matplotlib gallery of colormaps.
> '''
>
> from colormaps import cmaps
> import numpy as np
> import matplotlib.pyplot as plt
> from matplotlib import cm
> import matplotlib as mpl
> from colorspacious import cspace_converter
>
>
>
> *************************************************************** 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
> ***************************************************************
>
> --------------------------------------------
> On Mon, 25/4/16, Paul Hobson <pmh...@gm...> wrote:
>
>  Subject: Re: [Matplotlib-users] subplot layout
>  To: "Sudheer Joseph" <sud...@ya...>
>  Cc: "Matplotlib Users" <mat...@li...>
>  Date: Monday, 25 April, 2016, 4:33 PM
>
>  Your
>  basemap plot is likely setting the aspect of the axes to
>  "equal", so it resizes the plot accordingly.
>  Otherwise you'd have a pretty nasty amount of vertical
>  distortion.
>  When you save
>  the figure, using bbox_inches='tight' will trim the
>  excess white space from the
>  margins:fig.savefig('map_and_bars.png',
>  dpi=600, bbox_inches='tight')
>  Also, you should try the new viridis
>  color map :)
> http://matplotlib.org/users/colormaps.html?highlight=colormaps#miscellaneous
>
>
>
>  On Mon, Apr 25, 2016 at
>  9:05 AM, Sudheer Joseph <sud...@ya...>
>  wrote:
>  Hi,
>
>             I am looking for a layout as seen in the
>  empty layout attached which is produced using
>
>  figsize(20,8),subplot(1,2,1);subplot(222);subplot(224)
>
>
>
>  However when I use it for getting attached second figure the
>  layout gets modified as seen in attached figure 2.
>
>  fig = p.figure(figsize=(20,8))
>
>  ax=p.subplot(121)
>
>  ax1=p.subplot(222)
>
>  ax2=p.subplot(224)
>
>
>
>  Can any one suggest a way to get figure exactly as the empty
>  layout?
>
>
>
>  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
>  ***************************************************************
>
>  ------------------------------------------------------------------------------
>
>  Find and fix application performance issues faster with
>  Applications Manager
>
>  Applications Manager provides deep performance insights into
>  multiple tiers of
>
>  your business applications. It resolves application problems
>  quickly and
>
>  reduces your MTTR. Get your free trial!
>
>  https://ad.doubleclick.net/ddm/clk/302982198;130105516;z
>  _______________________________________________
>
>  Matplotlib-users mailing list
>
>  Mat...@li...
>
>  https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
>
>

Hi Paul,

I tried to get the new colormap suggestion from you but could not get the colormap package. Where can I get it? google search did not took me to the package/
Is it a development package?
 May I know how to use  viridis color map  with an example plot? 


Below is an example code from the link you send

'''
For each colormap, plot the lightness parameter L* from CIELAB colorspace
along the y axis vs index through the colormap. Colormaps are examined in
categories as in the original matplotlib gallery of colormaps.
'''

from colormaps import cmaps
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
import matplotlib as mpl
from colorspacious import cspace_converter



*************************************************************** 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 ***************************************************************

--------------------------------------------
On Mon, 25/4/16, Paul Hobson <pmh...@gm...> wrote:

 Subject: Re: [Matplotlib-users] subplot layout
 To: "Sudheer Joseph" <sud...@ya...>
 Cc: "Matplotlib Users" <mat...@li...>
 Date: Monday, 25 April, 2016, 4:33 PM
 
 Your
 basemap plot is likely setting the aspect of the axes to
 "equal", so it resizes the plot accordingly.
 Otherwise you'd have a pretty nasty amount of vertical
 distortion.
 When you save
 the figure, using bbox_inches='tight' will trim the
 excess white space from the
 margins:fig.savefig('map_and_bars.png',
 dpi=600, bbox_inches='tight')
 Also, you should try the new viridis
 color map :) http://matplotlib.org/users/colormaps.html?highlight=colormaps#miscellaneous
 
 
 
 On Mon, Apr 25, 2016 at
 9:05 AM, Sudheer Joseph <sud...@ya...>
 wrote:
 Hi,
 
            I am looking for a layout as seen in the
 empty layout attached which is produced using
 
 figsize(20,8),subplot(1,2,1);subplot(222);subplot(224)
 
 
 
 However when I use it for getting attached second figure the
 layout gets modified as seen in attached figure 2.
 
 fig = p.figure(figsize=(20,8))
 
 ax=p.subplot(121)
 
 ax1=p.subplot(222)
 
 ax2=p.subplot(224)
 
 
 
 Can any one suggest a way to get figure exactly as the empty
 layout?
 
 
 
 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
 ***************************************************************
 ------------------------------------------------------------------------------
 
 Find and fix application performance issues faster with
 Applications Manager
 
 Applications Manager provides deep performance insights into
 multiple tiers of
 
 your business applications. It resolves application problems
 quickly and
 
 reduces your MTTR. Get your free trial!
 
 https://ad.doubleclick.net/ddm/clk/302982198;130105516;z
 _______________________________________________
 
 Matplotlib-users mailing list
 
 Mat...@li...
 
 https://lists.sourceforge.net/lists/listinfo/matplotlib-users
 
 
 

Thank you Paul,
                        Thanks for the tips related to margins and also about colormaps. Is there a way to stop the automatic aspect ratio setting ( though it it distors map in present case ) if I wanted to use that for other plots?

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 ***************************************************************

--------------------------------------------
On Mon, 25/4/16, Paul Hobson <pmh...@gm...> wrote:

 Subject: Re: [Matplotlib-users] subplot layout
 To: "Sudheer Joseph" <sud...@ya...>
 Cc: "Matplotlib Users" <mat...@li...>
 Date: Monday, 25 April, 2016, 4:33 PM
 
 Your
 basemap plot is likely setting the aspect of the axes to
 "equal", so it resizes the plot accordingly.
 Otherwise you'd have a pretty nasty amount of vertical
 distortion.
 When you save
 the figure, using bbox_inches='tight' will trim the
 excess white space from the
 margins:fig.savefig('map_and_bars.png',
 dpi=600, bbox_inches='tight')
 Also, you should try the new viridis
 color map :) http://matplotlib.org/users/colormaps.html?highlight=colormaps#miscellaneous
 
 
 
 On Mon, Apr 25, 2016 at
 9:05 AM, Sudheer Joseph <sud...@ya...>
 wrote:
 Hi,
 
            I am looking for a layout as seen in the
 empty layout attached which is produced using
 
 figsize(20,8),subplot(1,2,1);subplot(222);subplot(224)
 
 
 
 However when I use it for getting attached second figure the
 layout gets modified as seen in attached figure 2.
 
 fig = p.figure(figsize=(20,8))
 
 ax=p.subplot(121)
 
 ax1=p.subplot(222)
 
 ax2=p.subplot(224)
 
 
 
 Can any one suggest a way to get figure exactly as the empty
 layout?
 
 
 
 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
 ***************************************************************
 ------------------------------------------------------------------------------
 
 Find and fix application performance issues faster with
 Applications Manager
 
 Applications Manager provides deep performance insights into
 multiple tiers of
 
 your business applications. It resolves application problems
 quickly and
 
 reduces your MTTR. Get your free trial!
 
 https://ad.doubleclick.net/ddm/clk/302982198;130105516;z
 _______________________________________________
 
 Matplotlib-users mailing list
 
 Mat...@li...
 
 https://lists.sourceforge.net/lists/listinfo/matplotlib-users
 
 
 

Yes, the left hand axis is shrinking in the vertical because it is applying the aspect ratio appropriate for 15 N and the N/S extent of your data.  Either make the N/S extent of the map larger; make the left hand column wider; or make the figure shorter.

Cheers,   Jody

> On 25 Apr 2016, at  9:05 AM, Sudheer Joseph <sud...@ya...> wrote:
> 
> Hi,
>           I am looking for a layout as seen in the empty layout attached which is produced using 
> figsize(20,8),subplot(1,2,1);subplot(222);subplot(224)
> 
> However when I use it for getting attached second figure the layout gets modified as seen in attached figure 2.
> fig = p.figure(figsize=(20,8))
> ax=p.subplot(121)
> ax1=p.subplot(222)
> ax2=p.subplot(224)
> 
> Can any one suggest a way to get figure exactly as the empty layout?
> 
> 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 ***************************************************************<req_layout.png><getting_layout.png>------------------------------------------------------------------------------
> Find and fix application performance issues faster with Applications Manager
> Applications Manager provides deep performance insights into multiple tiers of
> your business applications. It resolves application problems quickly and
> reduces your MTTR. Get your free trial!
> https://ad.doubleclick.net/ddm/clk/302982198;130105516;z_______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

--
Jody Klymak    
http://web.uvic.ca/~jklymak/

Your basemap plot is likely setting the aspect of the axes to "equal", so
it resizes the plot accordingly. Otherwise you'd have a pretty nasty amount
of vertical distortion.

When you save the figure, using bbox_inches='tight' will trim the excess
white space from the margins:
fig.savefig('map_and_bars.png', dpi=600, bbox_inches='tight')

Also, you should try the new viridis color map :)
http://matplotlib.org/users/colormaps.html?highlight=colormaps#miscellaneous



On Mon, Apr 25, 2016 at 9:05 AM, Sudheer Joseph <sud...@ya...>
wrote:

> Hi,
>            I am looking for a layout as seen in the empty layout attached
> which is produced using
> figsize(20,8),subplot(1,2,1);subplot(222);subplot(224)
>
> However when I use it for getting attached second figure the layout gets
> modified as seen in attached figure 2.
> fig = p.figure(figsize=(20,8))
> ax=p.subplot(121)
> ax1=p.subplot(222)
> ax2=p.subplot(224)
>
> Can any one suggest a way to get figure exactly as the empty layout?
>
> 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
> ***************************************************************
>
> ------------------------------------------------------------------------------
> Find and fix application performance issues faster with Applications
> Manager
> Applications Manager provides deep performance insights into multiple
> tiers of
> your business applications. It resolves application problems quickly and
> reduces your MTTR. Get your free trial!
> https://ad.doubleclick.net/ddm/clk/302982198;130105516;z
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Hi,
           I am looking for a layout as seen in the empty layout attached which is produced using 
figsize(20,8),subplot(1,2,1);subplot(222);subplot(224)

However when I use it for getting attached second figure the layout gets modified as seen in attached figure 2.
fig = p.figure(figsize=(20,8))
ax=p.subplot(121)
ax1=p.subplot(222)
ax2=p.subplot(224)

Can any one suggest a way to get figure exactly as the empty layout?

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 ***************************************************************

I've run into this SO question a year or so ago

http://stackoverflow.com/questions/19184484/how-to-add-group-labels-for-bar-charts-in-matplotlib

and have recently run into several questions similar to it again. I'm not
aware that this is available in any form or fashion from the matplotlib
main features unless users reuse his code or make their own.

My question is: does this feature exist somewhere in mpl and I'm just
unaware of it? If there's not is it in the planned features list?

I think it's a worthwhile feature to have and from what I see there's a lot
of people asking similar questions already.

Thanks,
Dino

Dear All,
Thanks to what I found here

http://bit.ly/1qJlWkP

I discovered how to plot the convex hull around a set of points
(please have a look at the script pasted at the end of the email).
Everything is almost done,but I have a problem: my "points" are not
really point-like: they are sphere whose radius is 1 and they almost
touch each other.
I do not know how to tune the parameter s so that the radius of the
points is equal to one in the same units in which I measure the
positions of the points themselves.
Any help is appreciated.
Cheers

Lorenzo



################################################################à


import numpy as np
import pylab as pl
import scipy as sp
from scipy.spatial import ConvexHull
from scipy.spatial.distance import euclidean
import matplotlib.pyplot as plt
import mpl_toolkits.mplot3d as a3


cluster_agglomerate=np.array([[ 0.14513811, -0.18930948, -1.44428171],
       [ 0.88042945,  1.67057596, -1.45742688],
              [-1.66682741, -0.99554261, -1.70267889],
	             [-0.95535694,  2.3159907 , -1.93637881],
		            [ 1.09396798,  1.7987614 , -3.44524095],
			           [-2.63620654,  0.16588691,
       -3.02436539],
              [ 0.19027056,  2.70740725,  0.11479029],
	             [ 2.77638842,  1.70535678, -2.10208878],
		            [-0.09149779, -0.81908733,  2.07425244],
			           [-0.48408772,  0.96793567,
       1.26652603],
              [ 0.67499278, -2.5386008 ,  1.39914827],
	             [ 1.02571108, -1.60932884, -0.34500693],
		            [ 2.78789155, -1.42050584,  0.59682802],
			           [-0.14688239, -2.36883246,
       3.35177362],
              [-1.71507089,  0.19184887,  2.68408562],
	             [-1.87886026, -1.58255618,  3.97006406],
		            [ 6.61540229,  1.98324725,  0.82767368],
			           [ 7.46818823,  3.00950487,
       -0.66214223],
              [ 4.80777628,  1.97159273,  1.68344958],
	             [ 6.3548727 ,  2.26459561,  2.92819854],
		            [ 4.70026626,  0.44618044,  0.3866837 ],
			           [ 3.44366671,  1.87939977,
       -0.2203051 ],
              [ 2.92460648,  1.98510457,  2.37510769],
	             [ 5.07053866, -0.10349542, -1.51041234],
		            [ 7.21643437, -1.32050186, -0.70707322],
			           [ 6.93292243,  0.58458074,
       -1.2458508 ],
              [ 7.84238244, -2.97562362, -1.63914669],
	             [ 7.43212373,  0.10620418,  0.68315389],
		            [ 9.59692827, -2.0843759 , -1.26623658],
			           [ 8.34540867, -1.14927294,
       1.95073173],
              [ 6.57425162, -2.13797392, -2.94804639],
	             [ 6.93340304, -4.4591665 , -0.63578546]])



# see http://bit.ly/1qJlWkP



# Generate random points & convex hull
points =  cluster_agglomerate  # np.random.rand(20,3)
print "points are, ", points
hull = ConvexHull(points)
print "I calculated the convex hull"



ax = a3.Axes3D(pl.figure())
facetCol = [1, 0.0, 0.0]

ax.plot_trisurf(points[:,0], points[:,1], points[:,2],
                triangles=hull.simplices)


ax.scatter(points[:,0], points[:,1], points[:,2], s=100)

plt.axis('off')
plt.show()