Re: [Matplotlib-users] Making space for a long legend outside of a barchart
Hi Chao,
I spent some time to figure out why I cannot replace ax1.hist() with
ax1.scatter().
It seems hist() returns list of 'Rectangle' (sadly if there is just one, it
does return
just the 'Rectangle' (not wrapped in a list) ... somewhere a trick
a = [a, ]
is likely needed.
Anyway, my problem is that scatter() returns 'PathCollection' object, whatever
that is.
How can I grab handles to individual legend items to move them under ax2 like
in your
hist-plot example?
Thank you for your help,
Martin
ChaoYue wrote:
Dear Martin,
I worked out a similar example for your reference as I don't catch your
example very well.
fig = plt.figure()
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)
arrlist = [np.random.normal(size=100) for i in range(50)]
ret = ax1.hist(arrlist,histtype='barstacked')
reclist = [patchlist[0] for patchlist in ret[2]]
labellist = ['data'+str(i) for i in range(50)]
ax2.legend(reclist,labellist,loc='upper
left',bbox_to_anchor=(0,0,1,1),borderaxespad=0.,ncol=5,mode='expand')
ax2.set_frame_on(False)
ax2.tick_params(bottom='off',left='off',right='off',top='off')
plt.setp(ax2.get_yticklabels(),visible=False)
plt.setp(ax2.get_xticklabels(),visible=False)
you're asking some object-oriented way, I personally don't think using pylab
and set_tight_layout are the good way
to be object-oriented as pylab is only a bounding wrapper by my
understanding (maybe I am wrong!). legend and
hist are all matplotlib.axes.Axes method.
Also, I think it's unrealistic to ask the figure do a nice job for you if
there are 50 legned handlers and you want to show
them in 2 columns with a very high width/height ratio of the figure
hope it could be of a bit help,
cheers,
Chao
On Mon, May 20, 2013 at 6:43 PM, Martin Mokrejs [via matplotlib] [hidden
email] /user/SendEmail.jtp?type=nodenode=41102i=0 wrote:
Hi Ben,
Benjamin Root wrote:
On Mon, May 20, 2013 at 12:02 PM, Martin Mokrejs [hidden email]
http://user/SendEmail.jtp?type=nodenode=41090i=0 mailto:[hidden email]
http://user/SendEmail.jtp?type=nodenode=41090i=1 wrote:
Hi,
I am having trouble to get space allocated for a long legend text,
lets say spanning 2/3 - 3/4 of the whole output. I would like to
have
stacked barchart as 1st subplot and the place of remaining 3
subplots
to be actually allocated by the legend. Alternatively, could I get
the
legend saved into a separate figure?
Or could the space for legend text be allocated automatically
minimizing
output figure size? For example, the width would be 1120px while
height
be multiples of 840px (840 for each subplot)?
Attached is a quick example. It shows also that I tried
tight_layout()
but wasn't successful with this either. I would be glad for some
help,
ideally converting the whole thing into an object-oriented approach.
I am generating several figures in a row and would like to
clear()/del()
any previously used data ASAP.
Thank you,
Martin
Am using mpl-1.2.2
Try fig.savefig('foobar.png', bbox_inches='tight') when saving the
image. It will make the figure size such that all the visible
elements of the figure will fit into the saved output. tight_layout()
is meant to make sure the elements don't overlap each other, but does
nothing about making sure nothing gets clipped.
Ah, would be nice to make this clear in the docs. So far was doing
import pylab
F = pylab.gcf()
F.set_tight_layout(True)
which as you say does not help the way I thought.
Unfortunately, while
fig.savefig('foobar.png', bbox_inches='tight')
helped to get everything into the .png file (attached), the barchart
itself
should span according to the code I posted just 1/2 of the figure. But
somehow
it is enlarged and rescaled so that it occupies *more than* 1/2 of the
figure.
What in pylab is resizing my image? Note: the final image is 625x1075.
Martin
--
AlienVault Unified Security Management (USM) platform delivers complete
security visibility with the essential security capabilities. Easily and
efficiently configure, manage, and operate all of your security controls
from a single console and
Re: [Matplotlib-users] Making space for a long legend outside of a barchart
Hi Martin,
I am not sure that I understand your question very well.
For a single scatter() plot, I guess I agree with you, you need to put it
in [] because
legend() function must receive iterable as far as I understand.
I don't think scatter() allows you to pass a series of group of (x,y) data
as plot().
So probably if you want to scatter more than one groups of data, you need
to:
handle_list = []
label_list = []
for (x,y) in zip(xdata_list, ydata_list):
d = ax1.scatter(x,y)
handle_list.append(x)
label_list.append()
ax2.legend(handle_list,label_list,...)
This is what I could think of, perhaps others have better ways.
cheers,
Chao
On Thu, May 23, 2013 at 4:57 PM, Martin Mokrejs [via matplotlib]
ml-node+s1069221n41114...@n5.nabble.com wrote:
Hi Chao,
I spent some time to figure out why I cannot replace ax1.hist() with
ax1.scatter().
It seems hist() returns list of 'Rectangle' (sadly if there is just one,
it does return
just the 'Rectangle' (not wrapped in a list) ... somewhere a trick
a = [a, ]
is likely needed.
Anyway, my problem is that scatter() returns 'PathCollection' object,
whatever that is.
How can I grab handles to individual legend items to move them under ax2
like in your
hist-plot example?
Thank you for your help,
Martin
ChaoYue wrote:
Dear Martin,
I worked out a similar example for your reference as I don't catch your
example very well.
fig = plt.figure()
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)
arrlist = [np.random.normal(size=100) for i in range(50)]
ret = ax1.hist(arrlist,histtype='barstacked')
reclist = [patchlist[0] for patchlist in ret[2]]
labellist = ['data'+str(i) for i in range(50)]
ax2.legend(reclist,labellist,loc='upper
left',bbox_to_anchor=(0,0,1,1),borderaxespad=0.,ncol=5,mode='expand')
ax2.set_frame_on(False)
ax2.tick_params(bottom='off',left='off',right='off',top='off')
plt.setp(ax2.get_yticklabels(),visible=False)
plt.setp(ax2.get_xticklabels(),visible=False)
you're asking some object-oriented way, I personally don't think using
pylab and set_tight_layout are the good way
to be object-oriented as pylab is only a bounding wrapper by my
understanding (maybe I am wrong!). legend and
hist are all matplotlib.axes.Axes method.
Also, I think it's unrealistic to ask the figure do a nice job for you
if there are 50 legned handlers and you want to show
them in 2 columns with a very high width/height ratio of the figure
hope it could be of a bit help,
cheers,
Chao
On Mon, May 20, 2013 at 6:43 PM, Martin Mokrejs [via matplotlib]
[hidden email] /user/SendEmail.jtp?type=nodenode=41102i=0 wrote:
Hi Ben,
Benjamin Root wrote:
On Mon, May 20, 2013 at 12:02 PM, Martin Mokrejs [hidden email]
http://user/SendEmail.jtp?type=nodenode=41090i=0 mailto:[hidden
email] http://user/SendEmail.jtp?type=nodenode=41090i=1 wrote:
Hi,
I am having trouble to get space allocated for a long legend
text,
lets say spanning 2/3 - 3/4 of the whole output. I would like
to have
stacked barchart as 1st subplot and the place of remaining 3
subplots
to be actually allocated by the legend. Alternatively, could I
get the
legend saved into a separate figure?
Or could the space for legend text be allocated automatically
minimizing
output figure size? For example, the width would be 1120px
while height
be multiples of 840px (840 for each subplot)?
Attached is a quick example. It shows also that I tried
tight_layout()
but wasn't successful with this either. I would be glad for
some help,
ideally converting the whole thing into an object-oriented
approach.
I am generating several figures in a row and would like to
clear()/del()
any previously used data ASAP.
Thank you,
Martin
Am using mpl-1.2.2
Try fig.savefig('foobar.png', bbox_inches='tight') when saving
the
image. It will make the figure size such that all the visible
elements of the figure will fit into the saved output.
tight_layout()
is meant to make sure the elements don't overlap each other, but
does
nothing about making sure nothing gets clipped.
Ah, would be nice to make this clear in the docs. So far was doing
import pylab
F = pylab.gcf()
F.set_tight_layout(True)
which as you say does not help the way I thought.
Unfortunately, while
fig.savefig('foobar.png', bbox_inches='tight')
helped to get everything into the .png file (attached), the barchart
itself
should span according to the code I posted just 1/2 of the figure.
But somehow
it is enlarged and rescaled so that it occupies *more than* 1/2 of
the figure.
Re: [Matplotlib-users] Making space for a long legend outside of a barchart
Hi Chao,
ChaoYue wrote:
Dear Martin,
I worked out a similar example for your reference as I don't catch your
example very well.
I think you got the idea quite well.
fig = plt.figure()
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)
arrlist = [np.random.normal(size=100) for i in range(50)]
ret = ax1.hist(arrlist,histtype='barstacked')
reclist = [patchlist[0] for patchlist in ret[2]]
labellist = ['data'+str(i) for i in range(50)]
ax2.legend(reclist,labellist,loc='upper
left',bbox_to_anchor=(0,0,1,1),borderaxespad=0.,ncol=5,mode='expand')
ax2.set_frame_on(False)
ax2.tick_params(bottom='off',left='off',right='off',top='off')
plt.setp(ax2.get_yticklabels(),visible=False)
plt.setp(ax2.get_xticklabels(),visible=False)
I added plt.show() and it demonstrates my problem: the legend is not complete
in the
figure. That is why I think I could instead use:
import pylab as plt
import numpy as np
fig = plt.figure()
DefaultSize = tuple(fig.get_size_inches())
fig.set_size_inches(DefaultSize[0], 4*DefaultSize[1])
ax1 = fig.add_subplot(411)
ax2 = fig.add_subplot(412)
arrlist = [np.random.normal(size=100) for i in range(50)]
ret = ax1.hist(arrlist,histtype='barstacked')
reclist = [patchlist[0] for patchlist in ret[2]]
labellist = ['data'+str(i) for i in range(50)]
ax2.legend(reclist,labellist,loc='upper
left',bbox_to_anchor=(0,0,1,1),borderaxespad=0.,ncol=5,mode='expand')
ax2.set_frame_on(False)
ax2.tick_params(bottom='off',left='off',right='off',top='off')
plt.setp(ax2.get_yticklabels(),visible=False)
plt.setp(ax2.get_xticklabels(),visible=False)
plt.show()
But, this does not make the image 4* taller than I thought. But thank you
for the example how to extract the legend of ax1 and place it under ax2.
you're asking some object-oriented way, I personally don't think
using pylab and set_tight_layout are the good way to be
object-oriented as pylab is only a bounding wrapper by my
understanding (maybe I am wrong!). legend and hist are all
matplotlib.axes.Axes method.
Also, I think it's unrealistic to ask the figure do a nice job for
you if there are 50 legend handlers and you want to show them in 2
columns with a very high width/height ratio of the figure
The problem is that the data are calculated dynamically and sometimes
I need to display data for 20 data types while sometimes for 200 data
types (and for each I need a legend).
I did not show that but I do calculate how many columns I could use
legend display and pass that via pylab.legend(..., ncol= ). Of course
at the same time I could calculate whether I will need 2 or 3 or 4
subplots on the page (the first will be the barchart itself), the
remaining space will be used by the long legend of subplot(211).
I would hope that matplotlib does not mind that I actually issue any
fig.add_subplot() foe the third or even fourth subplot at all. That
would be just a trick to get more space for the legend. If I can live
with just with subplot(211) and subplot(212)
The fig.savefig('foobar.png', bbox_inches='tight') which Ben mentioned
yesterday is nice but I want it to crop the image only vertically.
An optional argument like:
fig.savefig('foobar.png', bbox_inches='tight', keep_fig_width=True)
would maybe do the job for me.
What I still don't understand what is resizing the image in tight_layout.
It doesn't seem to me that just the unused border space is chopped away.
Fonts look different, ratio between x and y axes lengths seems different.
Certainly not what I want.
hope it could be of a bit help,
Sure, I am still learning to use matplotlib.
Martin
cheers,
Chao
On Mon, May 20, 2013 at 6:43 PM, Martin Mokrejs [via matplotlib] [hidden
email] /user/SendEmail.jtp?type=nodenode=41102i=0 wrote:
Hi Ben,
Benjamin Root wrote:
On Mon, May 20, 2013 at 12:02 PM, Martin Mokrejs [hidden email]
http://user/SendEmail.jtp?type=nodenode=41090i=0 mailto:[hidden email]
http://user/SendEmail.jtp?type=nodenode=41090i=1 wrote:
Hi,
I am having trouble to get space allocated for a long legend text,
lets say spanning 2/3 - 3/4 of the whole output. I would like to
have
stacked barchart as 1st subplot and the place of remaining 3
subplots
to be actually allocated by the legend. Alternatively, could I get
the
legend saved into a separate figure?
Or could the space for legend text be allocated automatically
minimizing
output figure size? For example, the width would be 1120px
Re: [Matplotlib-users] Making space for a long legend outside of a barchart
Hi Martin,
I don't know tight_layout quite well. Probably you could also split the
handlers of the barplot into
and 2 or 3 or 4 parts depending on the number, and then show them in
sperate axes?
then you create n+1 subplots for the whole figure?
probably this is quite stupid.
cheers,
Chao
On Wed, May 22, 2013 at 1:03 PM, Martin Mokrejs [via matplotlib]
ml-node+s1069221n41104...@n5.nabble.com wrote:
Hi Chao,
ChaoYue wrote:
Dear Martin,
I worked out a similar example for your reference as I don't catch your
example very well.
I think you got the idea quite well.
fig = plt.figure()
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)
arrlist = [np.random.normal(size=100) for i in range(50)]
ret = ax1.hist(arrlist,histtype='barstacked')
reclist = [patchlist[0] for patchlist in ret[2]]
labellist = ['data'+str(i) for i in range(50)]
ax2.legend(reclist,labellist,loc='upper
left',bbox_to_anchor=(0,0,1,1),borderaxespad=0.,ncol=5,mode='expand')
ax2.set_frame_on(False)
ax2.tick_params(bottom='off',left='off',right='off',top='off')
plt.setp(ax2.get_yticklabels(),visible=False)
plt.setp(ax2.get_xticklabels(),visible=False)
I added plt.show() and it demonstrates my problem: the legend is not
complete in the
figure. That is why I think I could instead use:
import pylab as plt
import numpy as np
fig = plt.figure()
DefaultSize = tuple(fig.get_size_inches())
fig.set_size_inches(DefaultSize[0], 4*DefaultSize[1])
ax1 = fig.add_subplot(411)
ax2 = fig.add_subplot(412)
arrlist = [np.random.normal(size=100) for i in range(50)]
ret = ax1.hist(arrlist,histtype='barstacked')
reclist = [patchlist[0] for patchlist in ret[2]]
labellist = ['data'+str(i) for i in range(50)]
ax2.legend(reclist,labellist,loc='upper
left',bbox_to_anchor=(0,0,1,1),borderaxespad=0.,ncol=5,mode='expand')
ax2.set_frame_on(False)
ax2.tick_params(bottom='off',left='off',right='off',top='off')
plt.setp(ax2.get_yticklabels(),visible=False)
plt.setp(ax2.get_xticklabels(),visible=False)
plt.show()
But, this does not make the image 4* taller than I thought. But thank you
for the example how to extract the legend of ax1 and place it under ax2.
you're asking some object-oriented way, I personally don't think
using pylab and set_tight_layout are the good way to be
object-oriented as pylab is only a bounding wrapper by my
understanding (maybe I am wrong!). legend and hist are all
matplotlib.axes.Axes method.
Also, I think it's unrealistic to ask the figure do a nice job for
you if there are 50 legend handlers and you want to show them in 2
columns with a very high width/height ratio of the figure
The problem is that the data are calculated dynamically and sometimes
I need to display data for 20 data types while sometimes for 200 data
types (and for each I need a legend).
I did not show that but I do calculate how many columns I could use
legend display and pass that via pylab.legend(..., ncol= ). Of course
at the same time I could calculate whether I will need 2 or 3 or 4
subplots on the page (the first will be the barchart itself), the
remaining space will be used by the long legend of subplot(211).
I would hope that matplotlib does not mind that I actually issue any
fig.add_subplot() foe the third or even fourth subplot at all. That
would be just a trick to get more space for the legend. If I can live
with just with subplot(211) and subplot(212)
The fig.savefig('foobar.png', bbox_inches='tight') which Ben mentioned
yesterday is nice but I want it to crop the image only vertically.
An optional argument like:
fig.savefig('foobar.png', bbox_inches='tight', keep_fig_width=True)
would maybe do the job for me.
What I still don't understand what is resizing the image in tight_layout.
It doesn't seem to me that just the unused border space is chopped away.
Fonts look different, ratio between x and y axes lengths seems different.
Certainly not what I want.
hope it could be of a bit help,
Sure, I am still learning to use matplotlib.
Martin
cheers,
Chao
On Mon, May 20, 2013 at 6:43 PM, Martin Mokrejs [via matplotlib]
[hidden email] /user/SendEmail.jtp?type=nodenode=41102i=0 wrote:
Hi Ben,
Benjamin Root wrote:
On Mon, May 20, 2013 at 12:02 PM, Martin Mokrejs [hidden email]
http://user/SendEmail.jtp?type=nodenode=41090i=0 mailto:[hidden
email] http://user/SendEmail.jtp?type=nodenode=41090i=1 wrote:
Hi,
I am having trouble to get space allocated for a long legend
text,
lets say spanning 2/3 - 3/4 of the whole output. I would like
to have
stacked barchart as 1st subplot and the place of remaining 3
subplots
to be actually allocated by the legend. Alternatively, could I
get the
legend saved into a separate figure?
Or could the space for legend text be allocated automatically
Re: [Matplotlib-users] Making space for a long legend outside of a barchart
ChaoYue wrote:
Hi Martin,
I don't know tight_layout quite well. Probably you could also split the
handlers of the barplot into
and 2 or 3 or 4 parts depending on the number, and then show them in sperate
axes?
then you create n+1 subplots for the whole figure?
No, the reason why I use stacked bar chart is that I can squeeze the data
into a single figure. It is only difficult for the reader to compare 20
separate barcharts between each other whereas seeing 20 stacked bars in a
single chart on top of each other is easy.
I think your approach combined with something like a future improvement:
fig.savefig('foobar.png', bbox_inches='tight', keep_fig_width=True)
will do the best for me (unused space below the legend will be chopped away
while figure width will be untouched).
Lets see what Ben or others say about the tight_layout rescaling issue and the
feature request. ;-)
Maritn
probably this is quite stupid.
cheers,
Chao
On Wed, May 22, 2013 at 1:03 PM, Martin Mokrejs [via matplotlib] [hidden
email] /user/SendEmail.jtp?type=nodenode=41105i=0 wrote:
Hi Chao,
ChaoYue wrote:
Dear Martin,
I worked out a similar example for your reference as I don't catch your
example very well.
I think you got the idea quite well.
fig = plt.figure()
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)
arrlist = [np.random.normal(size=100) for i in range(50)]
ret = ax1.hist(arrlist,histtype='barstacked')
reclist = [patchlist[0] for patchlist in ret[2]]
labellist = ['data'+str(i) for i in range(50)]
ax2.legend(reclist,labellist,loc='upper
left',bbox_to_anchor=(0,0,1,1),borderaxespad=0.,ncol=5,mode='expand')
ax2.set_frame_on(False)
ax2.tick_params(bottom='off',left='off',right='off',top='off')
plt.setp(ax2.get_yticklabels(),visible=False)
plt.setp(ax2.get_xticklabels(),visible=False)
I added plt.show() and it demonstrates my problem: the legend is not
complete in the
figure. That is why I think I could instead use:
import pylab as plt
import numpy as np
fig = plt.figure()
DefaultSize = tuple(fig.get_size_inches())
fig.set_size_inches(DefaultSize[0], 4*DefaultSize[1])
ax1 = fig.add_subplot(411)
ax2 = fig.add_subplot(412)
arrlist = [np.random.normal(size=100) for i in range(50)]
ret = ax1.hist(arrlist,histtype='barstacked')
reclist = [patchlist[0] for patchlist in ret[2]]
labellist = ['data'+str(i) for i in range(50)]
ax2.legend(reclist,labellist,loc='upper
left',bbox_to_anchor=(0,0,1,1),borderaxespad=0.,ncol=5,mode='expand')
ax2.set_frame_on(False)
ax2.tick_params(bottom='off',left='off',right='off',top='off')
plt.setp(ax2.get_yticklabels(),visible=False)
plt.setp(ax2.get_xticklabels(),visible=False)
plt.show()
But, this does not make the image 4* taller than I thought. But thank you
for the example how to extract the legend of ax1 and place it under ax2.
you're asking some object-oriented way, I personally don't think
using pylab and set_tight_layout are the good way to be
object-oriented as pylab is only a bounding wrapper by my
understanding (maybe I am wrong!). legend and hist are all
matplotlib.axes.Axes method.
Also, I think it's unrealistic to ask the figure do a nice job for
you if there are 50 legend handlers and you want to show them in 2
columns with a very high width/height ratio of the figure
The problem is that the data are calculated dynamically and sometimes
I need to display data for 20 data types while sometimes for 200 data
types (and for each I need a legend).
I did not show that but I do calculate how many columns I could use
legend display and pass that via pylab.legend(..., ncol= ). Of course
at the same time I could calculate whether I will need 2 or 3 or 4
subplots on the page (the first will be the barchart itself), the
remaining space will be used by the long legend of subplot(211).
I would hope that matplotlib does not mind that I actually issue any
fig.add_subplot() foe the third or even fourth subplot at all. That
would be just a trick to get more space for the legend. If I can live
with just with subplot(211) and subplot(212)
The fig.savefig('foobar.png', bbox_inches='tight') which Ben mentioned
yesterday is nice but I want it to crop the image only vertically.
An optional
Re: [Matplotlib-users] Making space for a long legend outside of a barchart
Dear Martin,
I worked out a similar example for your reference as I don't catch your
example very well.
fig =
plt.figure()
ax1 =
fig.add_subplot(211)
ax2 =
fig.add_subplot(212)
arrlist = [np.random.normal(size=100) for i in
range(50)]
ret =
ax1.hist(arrlist,histtype='barstacked')
reclist = [patchlist[0] for patchlist in
ret[2]]
labellist = ['data'+str(i) for i in
range(50)]
ax2.legend(reclist,labellist,loc='upper
left',bbox_to_anchor=(0,0,1,1),borderaxespad=0.,ncol=5,mode='expand')
ax2.set_frame_on(False)
ax2.tick_params(bottom='off',left='off',right='off',top='off')
plt.setp(ax2.get_yticklabels(),visible=False)
plt.setp(ax2.get_xticklabels(),visible=False)
you're asking some object-oriented way, I personally don't think using
pylab and set_tight_layout are the good way
to be object-oriented as pylab is only a bounding wrapper by my
understanding (maybe I am wrong!). legend and
hist are all matplotlib.axes.Axes method.
Also, I think it's unrealistic to ask the figure do a nice job for you if
there are 50 legned handlers and you want to show
them in 2 columns with a very high width/height ratio of the figure
hope it could be of a bit help,
cheers,
Chao
On Mon, May 20, 2013 at 6:43 PM, Martin Mokrejs [via matplotlib]
ml-node+s1069221n41090...@n5.nabble.com wrote:
Hi Ben,
Benjamin Root wrote:
On Mon, May 20, 2013 at 12:02 PM, Martin Mokrejs [hidden
email]http://user/SendEmail.jtp?type=nodenode=41090i=0mailto:[hidden
email] http://user/SendEmail.jtp?type=nodenode=41090i=1 wrote:
Hi,
I am having trouble to get space allocated for a long legend text,
lets say spanning 2/3 - 3/4 of the whole output. I would like to
have
stacked barchart as 1st subplot and the place of remaining 3
subplots
to be actually allocated by the legend. Alternatively, could I get
the
legend saved into a separate figure?
Or could the space for legend text be allocated automatically
minimizing
output figure size? For example, the width would be 1120px while
height
be multiples of 840px (840 for each subplot)?
Attached is a quick example. It shows also that I tried
tight_layout()
but wasn't successful with this either. I would be glad for some
help,
ideally converting the whole thing into an object-oriented approach.
I am generating several figures in a row and would like to
clear()/del()
any previously used data ASAP.
Thank you,
Martin
Am using mpl-1.2.2
Try fig.savefig('foobar.png', bbox_inches='tight') when saving the
image. It will make the figure size such that all the visible
elements of the figure will fit into the saved output. tight_layout()
is meant to make sure the elements don't overlap each other, but does
nothing about making sure nothing gets clipped.
Ah, would be nice to make this clear in the docs. So far was doing
import pylab
F = pylab.gcf()
F.set_tight_layout(True)
which as you say does not help the way I thought.
Unfortunately, while
fig.savefig('foobar.png', bbox_inches='tight')
helped to get everything into the .png file (attached), the barchart
itself
should span according to the code I posted just 1/2 of the figure. But
somehow
it is enlarged and rescaled so that it occupies *more than* 1/2 of the
figure.
What in pylab is resizing my image? Note: the final image is 625x1075.
Martin
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Re: [Matplotlib-users] Making space for a long legend outside of a barchart
On Mon, May 20, 2013 at 12:02 PM, Martin Mokrejs
mmokr...@fold.natur.cuni.cz wrote:
Hi,
I am having trouble to get space allocated for a long legend text,
lets say spanning 2/3 - 3/4 of the whole output. I would like to have
stacked barchart as 1st subplot and the place of remaining 3 subplots
to be actually allocated by the legend. Alternatively, could I get the
legend saved into a separate figure?
Or could the space for legend text be allocated automatically minimizing
output figure size? For example, the width would be 1120px while height
be multiples of 840px (840 for each subplot)?
Attached is a quick example. It shows also that I tried tight_layout()
but wasn't successful with this either. I would be glad for some help,
ideally converting the whole thing into an object-oriented approach.
I am generating several figures in a row and would like to clear()/del()
any previously used data ASAP.
Thank you,
Martin
Am using mpl-1.2.2
Try fig.savefig('foobar.png', bbox_inches='tight') when saving the
image. It will make the figure size such that all the visible elements of
the figure will fit into the saved output. tight_layout() is meant to make
sure the elements don't overlap each other, but does nothing about making
sure nothing gets clipped.
Cheers!
Ben Root
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AlienVault Unified Security Management (USM) platform delivers complete
security visibility with the essential security capabilities. Easily and
efficiently configure, manage, and operate all of your security controls
from a single console and one unified framework. Download a free trial.
http://p.sf.net/sfu/alienvault_d2d___
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