Re: [Matplotlib-users] controllin the background of a plot
thanks ben,
(sorry for sending answer twice)
When you call savefig(), you can pass it the kwarg option of
bbox_inches='tight' and that should help get rid of any extra area you
may have.
Ben Root
I tried to follow your advice. however it did not help. This is what I do:
- get the current figure with gcf.
- read an image from a file with imread
- save it to the canvas with imsave
- hide the axes
- call fig.savefig('out.svg', transparent=True, bbox_inches='tight',
pad_inches=0)
then I create a PIL Image and return it to the calling web server.
The image is displayed with a fat (1.5 cm) gray border which I do not want.
thanks for any further intelligence
robert
here is my code cleansed of irrelevant parts
# supporting method creating the plot
def makeHlwdChart(self, values = ['a', 'd', 'e', 'f', 'b']):
# get current axes object
frame1 = plt.gca()
# get current figure
fig = plt.gcf()
# read the image file
pic = plt.imread(imp_path)
# the picture is upside down so rotate and fip it
pic = np.fliplr(np.rot90(pic, k=2))
# draw it on the canvas
plt.imshow(pic, figure=fig)
# hide axes
frame1.axes.get_xaxis().set_visible(False)
frame1.axes.get_yaxis().set_visible(False)
fig.savefig('out.svg', transparent=True, bbox_inches='tight',
pad_inches=0)
return pic
# method called from the web server
def __call__(self, w=300, h=300, default_format = 'PNG', set_headers=False):
# lock graphics
imageThreadLock.acquire()
# we don't want different threads to write on each other's canvases,
# make sure we have a new one
pylab.close()
# makeHlwdChart draws on the canvas, so we do not need its return value
makeHlwdChart(self, values)
canvas = pylab.get_current_fig_manager().canvas
canvas.draw()
imageSize = canvas.get_width_height()
imageRgb = canvas.tostring_rgb()
img = Image.fromstring(RGB, imageSize, imageRgb)
#size = int(w), int(h)
#img.thumbnail(size, Image.ANTIALIAS)
format = img.format and img.format or default_format
thumbnail_file = StringIO()
## quality parameter doesn't affect lossless formats
img.save(thumbnail_file, format, quality=88)
thumbnail_file.seek(0)
if set_headers:
self.request.RESPONSE.setHeader('Pragma', 'no-cache')
self.request.RESPONSE.setHeader('Content-Type', 'image/%s' %
format)
# unlock graphics
imageThreadLock.release()
return thumbnail_file.getvalue()
--
Storage Efficiency Calculator
This modeling tool is based on patent-pending intellectual property that
has been used successfully in hundreds of IBM storage optimization engage-
ments, worldwide. Store less, Store more with what you own, Move data to
the right place. Try It Now! http://www.accelacomm.com/jaw/sfnl/114/51427378/
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] controllin the background of a plot
Ok, your version is quite old, and might be older than when the bbox_inches='tight' feature was added. Unfortunately, the way savefig was designed, I think it would swallow extra kwargs. The current matplotlib is version 1.0.1, and we are getting close to cutting a new v1.1.0 release. Debian (which Ubuntu is based on), had a policy conflict with how we packaged our documents and did not update matplotlib in their repositories (although it should be updated in time for their next release). I would recommend building from source: http://matplotlib.sourceforge.net/users/installing.html#installing-from-source Note that you can obtain all of the required packages for building by running: sudo apt-get build-dep python-matplotlib and then build matplotlib yourself from source. I hope this helps! Ben Root I was barking up the wrong tree.. the picture is saved with imsave correctly (without extra space around it). However I generated it a second time using canvas.tostring_rgb() which I then send to the web server. When I pass a StringIO instance to imsave everything works as expected. thanks again for your help robert -- Magic Quadrant for Content-Aware Data Loss Prevention Research study explores the data loss prevention market. Includes in-depth analysis on the changes within the DLP market, and the criteria used to evaluate the strengths and weaknesses of these DLP solutions. http://www.accelacomm.com/jaw/sfnl/114/51385063/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] controllin the background of a plot
Hi there,
I am creating an image with mathplotlib. This image is then shown an a web page.
now ma question.
the Image is set in a large gray area. I assume it is the space needed for the
axis which I do not show.
How can I suppress this gray background?
thanks
robert
here the code I use to create the image:
def makeHlwdChart(self, values = ['a', 'd', 'e', 'f', 'b']):
# the need for following two lines I learned by appling voodoo and pdb
img_resource =
self.context.restrictedTraverse('++resource++effizienz_balken_01.jpg')
imp_path = img_resource.context.path
pic = plt.imread(imp_path)
# the picture is upside down so rotate and fip it
pic = np.fliplr(np.rot90(pic, k=2))
# draw it on the canvas
plt.imshow(pic)
frame1 = plt.gca()
# hide axes
frame1.axes.get_xaxis().set_visible(False)
frame1.axes.get_yaxis().set_visible(False)
#frame1.subplots_adjust(left=0)
# generate the colored markers that denot the value
# write a label so, that it is within the marker
funs = [th, ge, hh, en, pr]
font0 = FontProperties()
font = font0.copy()
font.set_weight('bold')
for i in range(len(values)):
# add the colord marker
frame1.add_patch(funs[i](values[i], True))
# get postition of the label
p = funs[i](values[i], offset=TEXTOFFSET)
# write the label
frame1.text(p[0], p[1], values[i].upper(), fontproperties=font)
return pic
--
Storage Efficiency Calculator
This modeling tool is based on patent-pending intellectual property that
has been used successfully in hundreds of IBM storage optimization engage-
ments, worldwide. Store less, Store more with what you own, Move data to
the right place. Try It Now! http://www.accelacomm.com/jaw/sfnl/114/51427378/
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] controllin the background of a plot
thanks ben,
(sorry for sending answer twice)
When you call savefig(), you can pass it the kwarg option of
bbox_inches='tight' and that should help get rid of any extra area you
may have.
Ben Root
I tried to follow your advice. however it did not help. This is what I do:
- get the current figure with gcf.
- read an image from a file with imread
- save it to the canvas with imsave
- hide the axes
- call fig.savefig('out.svg', transparent=True, bbox_inches='tight',
pad_inches=0)
then I create a PIL Image and return it to the calling web server.
The image is displayed with a fat (1.5 cm) gray border which I do not want.
thanks for any further intelligence
robert
here is my code cleansed of irrelevant parts
# supporting method creating the plot
def makeHlwdChart(self, values = ['a', 'd', 'e', 'f', 'b']):
# get current axes object
frame1 = plt.gca()
# get current figure
fig = plt.gcf()
# read the image file
pic = plt.imread(imp_path)
# the picture is upside down so rotate and fip it
pic = np.fliplr(np.rot90(pic, k=2))
# draw it on the canvas
plt.imshow(pic, figure=fig)
# hide axes
frame1.axes.get_xaxis().set_visible(False)
frame1.axes.get_yaxis().set_visible(False)
fig.savefig('out.svg', transparent=True, bbox_inches='tight',
pad_inches=0)
return pic
# method called from the web server
def __call__(self, w=300, h=300, default_format = 'PNG', set_headers=False):
# lock graphics
imageThreadLock.acquire()
# we don't want different threads to write on each other's canvases,
# make sure we have a new one
pylab.close()
# makeHlwdChart draws on the canvas, so we do not need its return value
makeHlwdChart(self, values)
canvas = pylab.get_current_fig_manager().canvas
canvas.draw()
imageSize = canvas.get_width_height()
imageRgb = canvas.tostring_rgb()
img = Image.fromstring(RGB, imageSize, imageRgb)
#size = int(w), int(h)
#img.thumbnail(size, Image.ANTIALIAS)
format = img.format and img.format or default_format
thumbnail_file = StringIO()
## quality parameter doesn't affect lossless formats
img.save(thumbnail_file, format, quality=88)
thumbnail_file.seek(0)
if set_headers:
self.request.RESPONSE.setHeader('Pragma', 'no-cache')
self.request.RESPONSE.setHeader('Content-Type', 'image/%s' %
format)
# unlock graphics
imageThreadLock.release()
return thumbnail_file.getvalue()
--
Storage Efficiency Calculator
This modeling tool is based on patent-pending intellectual property that
has been used successfully in hundreds of IBM storage optimization engage-
ments, worldwide. Store less, Store more with what you own, Move data to
the right place. Try It Now! http://www.accelacomm.com/jaw/sfnl/114/51427378/
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] controllin the background of a plot
On 23/07/11 23:17, Benjamin Root wrote:
On Sat, Jul 23, 2011 at 2:53 PM, robert rottermann
robert.rotterm...@gmx.ch mailto:robert.rotterm...@gmx.ch wrote:
thanks ben,
(sorry for sending answer twice)
When you call savefig(), you can pass it the kwarg option of
bbox_inches='tight' and that should help get rid of any extra
area you
may have.
Ben Root
I tried to follow your advice. however it did not help. This is
what I do:
- get the current figure with gcf.
- read an image from a file with imread
- save it to the canvas with imsave
- hide the axes
- call fig.savefig('out.svg', transparent=True, bbox_inches='tight',
pad_inches=0)
then I create a PIL Image and return it to the calling web server.
The image is displayed with a fat (1.5 cm) gray border which I do
not want.
thanks for any further intelligence
robert
here is my code cleansed of irrelevant parts
# supporting method creating the plot
def makeHlwdChart(self, values = ['a', 'd', 'e', 'f', 'b']):
# get current axes object
frame1 = plt.gca()
# get current figure
fig = plt.gcf()
# read the image file
pic = plt.imread(imp_path)
# the picture is upside down so rotate and fip it
pic = np.fliplr(np.rot90(pic, k=2))
# draw it on the canvas
plt.imshow(pic, figure=fig)
# hide axes
frame1.axes.get_xaxis().set_visible(False)
frame1.axes.get_yaxis().set_visible(False)
fig.savefig('out.svg', transparent=True, bbox_inches='tight',
pad_inches=0)
return pic
# method called from the web server
def __call__(self, w=300, h=300, default_format = 'PNG',
set_headers=False):
# lock graphics
imageThreadLock.acquire()
# we don't want different threads to write on each other's
canvases,
# make sure we have a new one
pylab.close()
# makeHlwdChart draws on the canvas, so we do not need its
return value
makeHlwdChart(self, values)
canvas = pylab.get_current_fig_manager().canvas
canvas.draw()
imageSize = canvas.get_width_height()
imageRgb = canvas.tostring_rgb()
img = Image.fromstring(RGB, imageSize, imageRgb)
#size = int(w), int(h)
#img.thumbnail(size, Image.ANTIALIAS)
format = img.format and img.format or default_format
thumbnail_file = StringIO()
## quality parameter doesn't affect lossless formats
img.save(thumbnail_file, format, quality=88)
thumbnail_file.seek(0)
if set_headers:
self.request.RESPONSE.setHeader('Pragma', 'no-cache')
self.request.RESPONSE.setHeader('Content-Type', 'image/%s' %
format)
# unlock graphics
imageThreadLock.release()
return thumbnail_file.getvalue()
Does the image look correct if you save it as a PNG file? It might be
a problem with the SVG backend. Also, which version of matplotlib
are you using. There was a lot of work on the bbox_inches stuff and
this problem might have already been fixed.
Ben Root
using png did not help,
matplotlib.__version__ : 0.99.3
numpy: 1.5.1
as provided by the newest ubuntu
thanks
robert
--
Storage Efficiency Calculator
This modeling tool is based on patent-pending intellectual property that
has been used successfully in hundreds of IBM storage optimization engage-
ments, worldwide. Store less, Store more with what you own, Move data to
the right place. Try It Now! http://www.accelacomm.com/jaw/sfnl/114/51427378/___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] hot to draw a line connecting a list of points
who ever migth be interested:
I achieved my goal in drawing lines trough a set of points using the path modul.
http://matplotlib.sourceforge.net/users/path_tutorial.html
robert
On 20.07.2011 20:49, robert rottermann wrote:
hi there,
I would like to draw a a set of lines on top of an image.
Somehow I do not get the result I want
these are the points ((267, 140), (380, 773), (267, 958))
one of my divers atempts is:
pic = plt.imread('../hlwd/effizienz_balken_01.jpg')
pic = np.fliplr(np.rot90(pic, k=2))
plt.imshow(pic)
frame1 = plt.gca()
lx = []
ly = []
for pt in ((267, 140), (380, 773), (267, 958)):
lx.append(pt[0])
ly.append(pt[1])
x,y = np.array([lx, ly])
line = mlines.Line2D(x, y, lw=5., alpha=0.4)
frame1.add_line(line)
plt.show()
which produces on line instad of two.
thanks for any pointers
robert
--
10 Tips for Better Web Security
Learn 10 ways to better secure your business today. Topics covered include:
Web security, SSL, hacker attacks Denial of Service (DoS), private keys,
security Microsoft Exchange, secure Instant Messaging, and much more.
http://www.accelacomm.com/jaw/sfnl/114/51426210/
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
--
5 Ways to Improve Secure Unified Communications
Unified Communications promises greater efficiencies for business. UC can
improve internal communications as well as offer faster, more efficient ways
to interact with customers and streamline customer service. Learn more!
http://www.accelacomm.com/jaw/sfnl/114/51426253/
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] hot to draw a line connecting a list of points
hi there,
I would like to draw a a set of lines on top of an image.
Somehow I do not get the result I want
these are the points ((267, 140), (380, 773), (267, 958))
one of my divers atempts is:
pic = plt.imread('../hlwd/effizienz_balken_01.jpg')
pic = np.fliplr(np.rot90(pic, k=2))
plt.imshow(pic)
frame1 = plt.gca()
lx = []
ly = []
for pt in ((267, 140), (380, 773), (267, 958)):
lx.append(pt[0])
ly.append(pt[1])
x,y = np.array([lx, ly])
line = mlines.Line2D(x, y, lw=5., alpha=0.4)
frame1.add_line(line)
plt.show()
which produces on line instad of two.
thanks for any pointers
robert
--
10 Tips for Better Web Security
Learn 10 ways to better secure your business today. Topics covered include:
Web security, SSL, hacker attacks Denial of Service (DoS), private keys,
security Microsoft Exchange, secure Instant Messaging, and much more.
http://www.accelacomm.com/jaw/sfnl/114/51426210/
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] plotting using an image as background
On 15.07.2011 17:56, Benjamin Root wrote: On Fri, Jul 15, 2011 at 10:49 AM, robert rob...@redcor.ch mailto:rob...@redcor.ch wrote: Hi there, I am all new to mathlib world.. What I try to do is plotting some charts over an image. I would be very grateful, if somebody could provide me with an example. thanks robert Welcome Robert, This is fairly straight-forward. If you have a image file, you can plot it like so: import matplotlib.pyplot as plt imData = plt.imread(foobar.png) plt.imshow(imData) Now, the tricky issue is that the coordinate system for the plot may be a bit backwards than you might want for normal plotting. The (0, 0) coordinate will be in the upper-left instead of the lower-left. Plus, the axis limits will be in pixels. This may or may not be an issue depending on what you plan to plot on top of the image. And, of course, unless you are in interactive mode, you will need to do a plt.show() call when you are finished building the plot and want to display it to the screen. I hope this helps and let us know if you have any other questions! Ben Root thank a lot Ben, it feels really good when you get answers that fast .. one more question: can I as imData what dimensions it has? thanks robert -- AppSumo Presents a FREE Video for the SourceForge Community by Eric Ries, the creator of the Lean Startup Methodology on Lean Startup Secrets Revealed. This video shows you how to validate your ideas, optimize your ideas and identify your business strategy. http://p.sf.net/sfu/appsumosfdev2dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
