Re: [Matplotlib-users] PY2EXE with Matplotlib and wxPython compiles but won't run???
On 19/05/2010 20:45, David wrote: Werner F. Bruhinwerner.bru...@... writes: On 19/05/2010 19:55, David Grudoski wrote: I'm trying to build an executable using PY2EXE; running Python 2.5.2 and wxPython 2.8.10.1 and MatplotLib 0.99.0 I tried using the setup.py from the PY2EXE.org Matplotlib page and although everything compiles correctly and generates an executable. When I launch the executable I get the following error: The application requires a version of wxPython greater than or equal to 2.8, but a matching version was not found. You currently have these version(s) installed. I can compile an executable with PY2EXE and wxPython that works fine, but apparantly somethins in the setup for matplotlib is causing a problem. Has anyone else seen this problem or know of a solution? You need to patch matplotlib (backend_wx.py), see the bottom of this page:http://www.py2exe.org/index.cgi/MatPlotLib Werner -- ___ Matplotlib-users mailing list matplotlib-us...@... https://lists.sourceforge.net/lists/listinfo/matplotlib-users Thanks for the reply Werner, I decided to try and construct the executable from the site using the embedding_in_wx2.py example. Again making sure the patch was in place on the backend_wx.py I again ran the python setup.py py2exe and everything compiled. Now when I run the exe it generate the following log file errors: Traceback (most recent call last): File embedding_in_wx2.py, line 21, inmodule File zipextimporter.pyo, line 82, in load_module File matplotlib\backends\backend_wxagg.pyo, line 20, inmodule File zipextimporter.pyo, line 82, in load_module File matplotlib\figure.pyo, line 19, inmodule File zipextimporter.pyo, line 82, in load_module File matplotlib\axes.pyo, line 14, inmodule File zipextimporter.pyo, line 82, in load_module File matplotlib\collections.pyo, line 21, inmodule File zipextimporter.pyo, line 82, in load_module File matplotlib\backend_bases.pyo, line 32, inmodule File zipextimporter.pyo, line 82, in load_module File matplotlib\widgets.pyo, line 12, inmodule File zipextimporter.pyo, line 82, in load_module File matplotlib\mlab.pyo, line 376, inmodule TypeError: unsupported operand type(s) for %: 'NoneType' and 'dict' This is due to using optimize 1 or 2 in py2exe, the work around is to fix four lines in mpl.mlab.py as shown on the wiki page mentioned in the last thread. Werner -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] hist question...
On 5/18/2010 9:53 AM, Nick Schurch wrote: Is there anyway of re-ploting the distribution generated by hist at a later point? http://docs.scipy.org/doc/numpy/reference/generated/numpy.histogram.html hth, Alan Isaac -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] linearized log axis
Thank you for the help, I never knew what the symlog flag did actually.
However, there is still a slight problem:
=
x = array([0,1,2,4,6,9,12,24])
y = array([100, 50, 10, 100, 5, 1, 1, 1])
subplot(111)
plot(x, y)
yscale('symlog')
xscale=('linear')
ylim(-1,1000)
show()
=
The plot looks exactly like I want it, the problem is when I change
the 1's to 0's in the y-array, then I get a:
File C:\Python26\lib\site-packages\matplotlib\ticker.py, line 1029,
in is_decade
lx = math.log(x)/math.log(base)
ValueError: math domain error
I suppose that means somewhere a log(0) is attempted. This kind of
defeats the purpose...
/C
Quoting Eric Firing efir...@hawaii.edu:
On 05/19/2010 10:28 AM, Benjamin Root wrote:
Maybe I am misunderstanding your problem, but you can select
'semilog'
for the x/yscale parameter.
You mean symlog.
See
http://matplotlib.sourceforge.net/examples/pylab_examples/symlog_demo.html
Although the example doesn't show it, the axis limits don't have to be
symmetric. For example, on the top plot, you can use
gca().set_xlim([0, 100])
to show only the right-hand side.
Eric
Ben Root
On Wed, May 19, 2010 at 7:03 AM, Christer Malmberg
christer.malmberg.0...@student.uu.se
mailto:christer.malmberg.0...@student.uu.se wrote:
Hi,
my problem is that I need a graph with a discontinous y-axis. Let
me
explain the problem: in my field (microbiology) the data
generated
from for example growth assays have a huge range (10^0-10^9),
which
has to be plotted on a semilogy style plot (cell concentration
vs.
time). The problem is that 0 cells is a useful number to plot
(indicates cell concentration lower than detection limit), but of
course not possible to show in a log diagram. This is easily
solved on
old-style logarithmic graph paper; since the data will be either
0, or
1 it is customary just to draw a zero x-axis at 10^-1 on the
paper
and that's that. On the computer, this is extremely hard. Most
people
I know resort to various tricks in Excel, such as entering a
small
number (0.001 etc) and starting the y-axis range from 10^1 to
hide the
problem. This makes excel draw a line, instead of leaving out the
dot
and line entirely. The part of the curve below the x-axis is then
manually cut off in a suitable image editor. Needless to say,
this is
extremely kludgy. Even professional graphing packages like
Graphpad
Prism resort to similar kludges (re-define 0 values to 0.1,
change the
y-axis tick label to 0 etc.) This problem of course exists in
other
fields, while investigating a solution I found a guy who worked
with
aerosol contamination in clean rooms, and he needed to plot
values
logarithmically, at the same time as showing detector noise
around
1-10 particles. He solved it by the same trick I would like to do
in
Matplotlib, namely plotting a standard semilogy plot but with the
10^-1 to 10^0 decade being replaced by a 0-1 linear axis on the
same
side.
The guy in this post has the same problem and a useful example:
http://ubuntuforums.org/showthread.php?t=394851
His partial solution is quite bad though, and I just got stuck
while
trying to improve it. I looked around the gallery for useful
examples,
and the closest I could find is the twinx/twiny function, but I
didn't
manage a plot that put one data curve across both axes.
This code gives an image that maybe explains what I'm trying to
do:
===
t = array([0,1,2,4,6,9,12,24])
y = array([100, 50, 10, 100, 5, 1, 0, 0])
subplot(111, xscale=linear, yscale=log)
errorbar(x, y, yerr=0.4*y)
linbit = axes([0.125, 0.1, 0.775, 0.1],frameon=False)
linbit.xaxis.set_visible(False)
for tl in linbit.get_yticklabels():
tl.set_color('r')
show()
===
(the y=0 points should be plotted and connected to the line in
the
log part)
Is this possible to do in matplotlib? Could someone give me a
pointer
on how to go on?
Sorry for the long mail,
/C
--
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--
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Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] linearized log axis
Yep. That's a bug. Here's a patch to fix it:
ndex: lib/matplotlib/ticker.py
===
--- lib/matplotlib/ticker.py(revision 8323)
+++ lib/matplotlib/ticker.py(working copy)
@@ -1178,16 +1178,21 @@
def decade_down(x, base=10):
'floor x to the nearest lower decade'
-
+if x == 0.0:
+return -base
lx = math.floor(math.log(x)/math.log(base))
return base**lx
def decade_up(x, base=10):
'ceil x to the nearest higher decade'
+if x == 0.0:
+return base
lx = math.ceil(math.log(x)/math.log(base))
return base**lx
def is_decade(x,base=10):
+if x == 0.0:
+return True
lx = math.log(x)/math.log(base)
return lx==int(lx)
Mike
On 05/20/2010 09:43 AM, Christer wrote:
Thank you for the help, I never knew what the symlog flag did actually.
However, there is still a slight problem:
=
x = array([0,1,2,4,6,9,12,24])
y = array([100, 50, 10, 100, 5, 1, 1, 1])
subplot(111)
plot(x, y)
yscale('symlog')
xscale=('linear')
ylim(-1,1000)
show()
=
The plot looks exactly like I want it, the problem is when I change
the 1's to 0's in the y-array, then I get a:
File C:\Python26\lib\site-packages\matplotlib\ticker.py, line 1029,
in is_decade
lx = math.log(x)/math.log(base)
ValueError: math domain error
I suppose that means somewhere a log(0) is attempted. This kind of
defeats the purpose...
/C
Quoting Eric Firingefir...@hawaii.edu:
On 05/19/2010 10:28 AM, Benjamin Root wrote:
Maybe I am misunderstanding your problem, but you can select
'semilog'
for the x/yscale parameter.
You mean symlog.
See
http://matplotlib.sourceforge.net/examples/pylab_examples/symlog_demo.html
Although the example doesn't show it, the axis limits don't have to be
symmetric. For example, on the top plot, you can use
gca().set_xlim([0, 100])
to show only the right-hand side.
Eric
Ben Root
On Wed, May 19, 2010 at 7:03 AM, Christer Malmberg
christer.malmberg.0...@student.uu.se
mailto:christer.malmberg.0...@student.uu.se wrote:
Hi,
my problem is that I need a graph with a discontinous y-axis. Let
me
explain the problem: in my field (microbiology) the data
generated
from for example growth assays have a huge range (10^0-10^9),
which
has to be plotted on a semilogy style plot (cell concentration
vs.
time). The problem is that 0 cells is a useful number to plot
(indicates cell concentration lower than detection limit), but of
course not possible to show in a log diagram. This is easily
solved on
old-style logarithmic graph paper; since the data will be either
0, or
1 it is customary just to draw a zero x-axis at 10^-1 on the
paper
and that's that. On the computer, this is extremely hard. Most
people
I know resort to various tricks in Excel, such as entering a
small
number (0.001 etc) and starting the y-axis range from 10^1 to
hide the
problem. This makes excel draw a line, instead of leaving out the
dot
and line entirely. The part of the curve below the x-axis is then
manually cut off in a suitable image editor. Needless to say,
this is
extremely kludgy. Even professional graphing packages like
Graphpad
Prism resort to similar kludges (re-define 0 values to 0.1,
change the
y-axis tick label to 0 etc.) This problem of course exists in
other
fields, while investigating a solution I found a guy who worked
with
aerosol contamination in clean rooms, and he needed to plot
values
logarithmically, at the same time as showing detector noise
around
1-10 particles. He solved it by the same trick I would like to do
in
Matplotlib, namely plotting a standard semilogy plot but with the
10^-1 to 10^0 decade being replaced by a 0-1 linear axis on the
same
side.
The guy in this post has the same problem and a useful example:
http://ubuntuforums.org/showthread.php?t=394851
His partial solution is quite bad though, and I just got stuck
while
trying to improve it. I looked around the gallery for useful
examples,
and the closest I could find is the twinx/twiny function, but I
didn't
manage a plot that put one data curve across both axes.
This code gives an image that maybe explains what I'm trying to
do:
===
Re: [Matplotlib-users] linearized log axis
Do we really want to depend on a floating point equality?
Ben Root
On Thu, May 20, 2010 at 9:02 AM, Michael Droettboom md...@stsci.edu wrote:
Yep. That's a bug. Here's a patch to fix it:
ndex: lib/matplotlib/ticker.py
===
--- lib/matplotlib/ticker.py(revision 8323)
+++ lib/matplotlib/ticker.py(working copy)
@@ -1178,16 +1178,21 @@
def decade_down(x, base=10):
'floor x to the nearest lower decade'
-
+if x == 0.0:
+return -base
lx = math.floor(math.log(x)/math.log(base))
return base**lx
def decade_up(x, base=10):
'ceil x to the nearest higher decade'
+if x == 0.0:
+return base
lx = math.ceil(math.log(x)/math.log(base))
return base**lx
def is_decade(x,base=10):
+if x == 0.0:
+return True
lx = math.log(x)/math.log(base)
return lx==int(lx)
Mike
On 05/20/2010 09:43 AM, Christer wrote:
Thank you for the help, I never knew what the symlog flag did actually.
However, there is still a slight problem:
=
x = array([0,1,2,4,6,9,12,24])
y = array([100, 50, 10, 100, 5, 1, 1, 1])
subplot(111)
plot(x, y)
yscale('symlog')
xscale=('linear')
ylim(-1,1000)
show()
=
The plot looks exactly like I want it, the problem is when I change
the 1's to 0's in the y-array, then I get a:
File C:\Python26\lib\site-packages\matplotlib\ticker.py, line 1029,
in is_decade
lx = math.log(x)/math.log(base)
ValueError: math domain error
I suppose that means somewhere a log(0) is attempted. This kind of
defeats the purpose...
/C
Quoting Eric Firingefir...@hawaii.edu:
On 05/19/2010 10:28 AM, Benjamin Root wrote:
Maybe I am misunderstanding your problem, but you can select
'semilog'
for the x/yscale parameter.
You mean symlog.
See
http://matplotlib.sourceforge.net/examples/pylab_examples/symlog_demo.html
Although the example doesn't show it, the axis limits don't have to be
symmetric. For example, on the top plot, you can use
gca().set_xlim([0, 100])
to show only the right-hand side.
Eric
Ben Root
On Wed, May 19, 2010 at 7:03 AM, Christer Malmberg
christer.malmberg.0...@student.uu.se
mailto:christer.malmberg.0...@student.uu.se wrote:
Hi,
my problem is that I need a graph with a discontinous y-axis. Let
me
explain the problem: in my field (microbiology) the data
generated
from for example growth assays have a huge range (10^0-10^9),
which
has to be plotted on a semilogy style plot (cell concentration
vs.
time). The problem is that 0 cells is a useful number to plot
(indicates cell concentration lower than detection limit), but of
course not possible to show in a log diagram. This is easily
solved on
old-style logarithmic graph paper; since the data will be either
0, or
1 it is customary just to draw a zero x-axis at 10^-1 on the
paper
and that's that. On the computer, this is extremely hard. Most
people
I know resort to various tricks in Excel, such as entering a
small
number (0.001 etc) and starting the y-axis range from 10^1 to
hide the
problem. This makes excel draw a line, instead of leaving out the
dot
and line entirely. The part of the curve below the x-axis is then
manually cut off in a suitable image editor. Needless to say,
this is
extremely kludgy. Even professional graphing packages like
Graphpad
Prism resort to similar kludges (re-define 0 values to 0.1,
change the
y-axis tick label to 0 etc.) This problem of course exists in
other
fields, while investigating a solution I found a guy who worked
with
aerosol contamination in clean rooms, and he needed to plot
values
logarithmically, at the same time as showing detector noise
around
1-10 particles. He solved it by the same trick I would like to do
in
Matplotlib, namely plotting a standard semilogy plot but with the
10^-1 to 10^0 decade being replaced by a 0-1 linear axis on the
same
side.
The guy in this post has the same problem and a useful example:
http://ubuntuforums.org/showthread.php?t=394851
His partial solution is quite bad though, and I just got stuck
while
trying to improve it. I looked around the gallery for useful
examples,
and the closest I could find is the twinx/twiny function, but I
didn't
manage a plot that put one data curve across both axes.
This code gives an image that maybe explains what I'm trying to
do:
===
[Matplotlib-users] variant not working in text()...
Hi all, I'm adding some text to a plt like this: import mapplotlib.pyplot as plt fig=plt.figure() plt.text(0.5,0.5,some text, variant='small-caps') but the text that is plotted is not small caps, its just normal. Is this a bug or am I doing something wrong? -- Cheers, Nick Schurch Data Analysis Group (The Barton Group), School of Life Sciences, University of Dundee, Dow St, Dundee, DD1 5EH, Scotland, UK Tel: +44 1382 388707 Fax: +44 1382 345 893 -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] linearized log axis
In this case, yes. The assumption of these (private) functions is that
x will be non-negative. The only case where we need to worry about log
raising an exception is with exactly 0.
Mike
On 05/20/2010 10:08 AM, Benjamin Root wrote:
Do we really want to depend on a floating point equality?
Ben Root
On Thu, May 20, 2010 at 9:02 AM, Michael Droettboommd...@stsci.edu wrote:
Yep. That's a bug. Here's a patch to fix it:
ndex: lib/matplotlib/ticker.py
===
--- lib/matplotlib/ticker.py(revision 8323)
+++ lib/matplotlib/ticker.py(working copy)
@@ -1178,16 +1178,21 @@
def decade_down(x, base=10):
'floor x to the nearest lower decade'
-
+if x == 0.0:
+return -base
lx = math.floor(math.log(x)/math.log(base))
return base**lx
def decade_up(x, base=10):
'ceil x to the nearest higher decade'
+if x == 0.0:
+return base
lx = math.ceil(math.log(x)/math.log(base))
return base**lx
def is_decade(x,base=10):
+if x == 0.0:
+return True
lx = math.log(x)/math.log(base)
return lx==int(lx)
Mike
On 05/20/2010 09:43 AM, Christer wrote:
Thank you for the help, I never knew what the symlog flag did actually.
However, there is still a slight problem:
=
x = array([0,1,2,4,6,9,12,24])
y = array([100, 50, 10, 100, 5, 1, 1, 1])
subplot(111)
plot(x, y)
yscale('symlog')
xscale=('linear')
ylim(-1,1000)
show()
=
The plot looks exactly like I want it, the problem is when I change
the 1's to 0's in the y-array, then I get a:
File C:\Python26\lib\site-packages\matplotlib\ticker.py, line 1029,
in is_decade
lx = math.log(x)/math.log(base)
ValueError: math domain error
I suppose that means somewhere a log(0) is attempted. This kind of
defeats the purpose...
/C
Quoting Eric Firingefir...@hawaii.edu:
On 05/19/2010 10:28 AM, Benjamin Root wrote:
Maybe I am misunderstanding your problem, but you can select
'semilog'
for the x/yscale parameter.
You mean symlog.
See
http://matplotlib.sourceforge.net/examples/pylab_examples/symlog_demo.html
Although the example doesn't show it, the axis limits don't have to be
symmetric. For example, on the top plot, you can use
gca().set_xlim([0, 100])
to show only the right-hand side.
Eric
Ben Root
On Wed, May 19, 2010 at 7:03 AM, Christer Malmberg
christer.malmberg.0...@student.uu.se
mailto:christer.malmberg.0...@student.uu.se wrote:
Hi,
my problem is that I need a graph with a discontinous y-axis. Let
me
explain the problem: in my field (microbiology) the data
generated
from for example growth assays have a huge range (10^0-10^9),
which
has to be plotted on a semilogy style plot (cell concentration
vs.
time). The problem is that 0 cells is a useful number to plot
(indicates cell concentration lower than detection limit), but of
course not possible to show in a log diagram. This is easily
solved on
old-style logarithmic graph paper; since the data will be either
0, or
1 it is customary just to draw a zero x-axis at 10^-1 on the
paper
and that's that. On the computer, this is extremely hard. Most
people
I know resort to various tricks in Excel, such as entering a
small
number (0.001 etc) and starting the y-axis range from 10^1 to
hide the
problem. This makes excel draw a line, instead of leaving out the
dot
and line entirely. The part of the curve below the x-axis is then
manually cut off in a suitable image editor. Needless to say,
this is
extremely kludgy. Even professional graphing packages like
Graphpad
Prism resort to similar kludges (re-define 0 values to 0.1,
change the
y-axis tick label to 0 etc.) This problem of course exists in
other
fields, while investigating a solution I found a guy who worked
with
aerosol contamination in clean rooms, and he needed to plot
values
logarithmically, at the same time as showing detector noise
around
1-10 particles. He solved it by the same trick I would like to do
in
Matplotlib, namely plotting a standard semilogy plot but with the
[Matplotlib-users] Another text problem...
I've also discovered another text problem. If I add two lines of test to a plot as follows: import mapplotlib.pyplot as plt fig=plt.figure() plt.text(0.4,0.5,some text) plt.text(0.6,0.5,some more text) then the two sets of text line up nicely with each other, because they have the same y-axis position. But if I do: import mapplotlib.pyplot as plt fig=plt.figure() plt.text(0.4,0.5,some text) plt.text(0.6,0.5,some text with a g in it) then the some text with a g in it is shifted upwards slightly so that the bottom of some text lines up with the bottom of the g, and doesn't line up witht he rest of the letters. It look like they are not on the same line! This has got to be a bug in the way matplotlib deals with text. -- Cheers, Nick Schurch Data Analysis Group (The Barton Group), School of Life Sciences, University of Dundee, Dow St, Dundee, DD1 5EH, Scotland, UK Tel: +44 1382 388707 Fax: +44 1382 345 893 -- Cheers, Nick Schurch Data Analysis Group (The Barton Group), School of Life Sciences, University of Dundee, Dow St, Dundee, DD1 5EH, Scotland, UK Tel: +44 1382 388707 Fax: +44 1382 345 893 -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] variant not working in text()...
That will only work if you have a small-caps variant of the font installed (which the vast majority of fonts do not). matplotlib does not do any font synthesis at all -- i.e. it does not create a pseudo font variation when one does not exist on disk. Mike On 05/20/2010 10:19 AM, Nick Schurch wrote: Hi all, I'm adding some text to a plt like this: import mapplotlib.pyplot as plt fig=plt.figure() plt.text(0.5,0.5,some text, variant='small-caps') but the text that is plotted is not small caps, its just normal. Is this a bug or am I doing something wrong? -- Michael Droettboom Science Software Branch Space Telescope Science Institute Baltimore, Maryland, USA -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Another text problem...
It is a bug, but the broken behavior was kept for backward compatibility. Try setting the vertical alignment to 'baseline'. import matplotlib.pyplot as plt fig=plt.figure() plt.text(0.4,0.5,some text, verticalalignment='baseline') plt.text(0.6,0.5,some text with a g in it, verticalalignment='baseline') It's probably about time to fix this -- we will have to update many of the unit tests -- what do the rest of the devs think? Mike On 05/20/2010 10:28 AM, Nick Schurch wrote: I've also discovered another text problem. If I add two lines of test to a plot as follows: import mapplotlib.pyplot as plt fig=plt.figure() plt.text(0.4,0.5,some text) plt.text(0.6,0.5,some more text) then the two sets of text line up nicely with each other, because they have the same y-axis position. But if I do: import mapplotlib.pyplot as plt fig=plt.figure() plt.text(0.4,0.5,some text) plt.text(0.6,0.5,some text with a g in it) then the some text with a g in it is shifted upwards slightly so that the bottom of some text lines up with the bottom of the g, and doesn't line up witht he rest of the letters. It look like they are not on the same line! This has got to be a bug in the way matplotlib deals with text. -- Cheers, Nick Schurch Data Analysis Group (The Barton Group), School of Life Sciences, University of Dundee, Dow St, Dundee, DD1 5EH, Scotland, UK Tel: +44 1382 388707 Fax: +44 1382 345 893 -- Michael Droettboom Science Software Branch Space Telescope Science Institute Baltimore, Maryland, USA -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] linearized log axis
Ok, good, I just wanted to do a sanity check.
On Thu, May 20, 2010 at 9:21 AM, Michael Droettboom md...@stsci.edu wrote:
In this case, yes. The assumption of these (private) functions is that
x will be non-negative. The only case where we need to worry about log
raising an exception is with exactly 0.
Mike
On 05/20/2010 10:08 AM, Benjamin Root wrote:
Do we really want to depend on a floating point equality?
Ben Root
On Thu, May 20, 2010 at 9:02 AM, Michael Droettboommd...@stsci.edu
wrote:
Yep. That's a bug. Here's a patch to fix it:
ndex: lib/matplotlib/ticker.py
===
--- lib/matplotlib/ticker.py(revision 8323)
+++ lib/matplotlib/ticker.py(working copy)
@@ -1178,16 +1178,21 @@
def decade_down(x, base=10):
'floor x to the nearest lower decade'
-
+if x == 0.0:
+return -base
lx = math.floor(math.log(x)/math.log(base))
return base**lx
def decade_up(x, base=10):
'ceil x to the nearest higher decade'
+if x == 0.0:
+return base
lx = math.ceil(math.log(x)/math.log(base))
return base**lx
def is_decade(x,base=10):
+if x == 0.0:
+return True
lx = math.log(x)/math.log(base)
return lx==int(lx)
Mike
On 05/20/2010 09:43 AM, Christer wrote:
Thank you for the help, I never knew what the symlog flag did actually.
However, there is still a slight problem:
=
x = array([0,1,2,4,6,9,12,24])
y = array([100, 50, 10, 100, 5, 1, 1, 1])
subplot(111)
plot(x, y)
yscale('symlog')
xscale=('linear')
ylim(-1,1000)
show()
=
The plot looks exactly like I want it, the problem is when I change
the 1's to 0's in the y-array, then I get a:
File C:\Python26\lib\site-packages\matplotlib\ticker.py, line 1029,
in is_decade
lx = math.log(x)/math.log(base)
ValueError: math domain error
I suppose that means somewhere a log(0) is attempted. This kind of
defeats the purpose...
/C
Quoting Eric Firingefir...@hawaii.edu:
On 05/19/2010 10:28 AM, Benjamin Root wrote:
Maybe I am misunderstanding your problem, but you can select
'semilog'
for the x/yscale parameter.
You mean symlog.
See
http://matplotlib.sourceforge.net/examples/pylab_examples/symlog_demo.html
Although the example doesn't show it, the axis limits don't have to be
symmetric. For example, on the top plot, you can use
gca().set_xlim([0, 100])
to show only the right-hand side.
Eric
Ben Root
On Wed, May 19, 2010 at 7:03 AM, Christer Malmberg
christer.malmberg.0...@student.uu.se
mailto:christer.malmberg.0...@student.uu.se wrote:
Hi,
my problem is that I need a graph with a discontinous y-axis.
Let
me
explain the problem: in my field (microbiology) the data
generated
from for example growth assays have a huge range (10^0-10^9),
which
has to be plotted on a semilogy style plot (cell concentration
vs.
time). The problem is that 0 cells is a useful number to plot
(indicates cell concentration lower than detection limit), but
of
course not possible to show in a log diagram. This is easily
solved on
old-style logarithmic graph paper; since the data will be
either
0, or
1 it is customary just to draw a zero x-axis at 10^-1 on the
paper
and that's that. On the computer, this is extremely hard. Most
people
I know resort to various tricks in Excel, such as entering a
small
number (0.001 etc) and starting the y-axis range from 10^1 to
hide the
problem. This makes excel draw a line, instead of leaving out
the
dot
and line entirely. The part of the curve below the x-axis is
then
manually cut off in a suitable image editor. Needless to say,
this is
extremely kludgy. Even professional graphing packages like
Graphpad
Prism resort to similar kludges (re-define 0 values to 0.1,
change the
y-axis tick label to 0 etc.) This problem of course exists in
other
fields, while investigating a solution I found a guy who worked
with
aerosol contamination in clean rooms, and he needed to plot
values
logarithmically, at the same time as showing detector noise
around
1-10 particles. He solved it by the same trick I would like to
do
in
Matplotlib, namely plotting a standard semilogy plot but with
the
10^-1 to 10^0 decade being replaced by a 0-1 linear axis on the
same
side.
The guy in
Re: [Matplotlib-users] Another text problem...
On Thu, May 20, 2010 at 9:34 AM, Michael Droettboom md...@stsci.edu wrote: It is a bug, but the broken behavior was kept for backward compatibility. Try setting the vertical alignment to 'baseline'. import matplotlib.pyplot as plt fig=plt.figure() plt.text(0.4,0.5,some text, verticalalignment='baseline') plt.text(0.6,0.5,some text with a g in it, verticalalignment='baseline') It's probably about time to fix this -- we will have to update many of the unit tests -- what do the rest of the devs think? I'm +1, but I've been bitten by this and am not concerned personally with the backwards incompatibility. I'm not sure how much code out there is dependant on this. Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Another text problem...
On 05/20/2010 11:32 AM, Ryan May wrote: On Thu, May 20, 2010 at 9:34 AM, Michael Droettboommd...@stsci.edu wrote: It is a bug, but the broken behavior was kept for backward compatibility. Try setting the vertical alignment to 'baseline'. import matplotlib.pyplot as plt fig=plt.figure() plt.text(0.4,0.5,some text, verticalalignment='baseline') plt.text(0.6,0.5,some text with a g in it, verticalalignment='baseline') It's probably about time to fix this -- we will have to update many of the unit tests -- what do the rest of the devs think? I'm +1, but I've been bitten by this and am not concerned personally with the backwards incompatibility. I'm not sure how much code out there is dependant on this. I've made baseline the default in SVN r8330. Only two of the unit tests changed due to this -- so hopefully it won't be too disruptive for users at large. Mike -- Michael Droettboom Science Software Branch Space Telescope Science Institute Baltimore, Maryland, USA -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] linearized log axis
On 05/19/2010 11:31 PM, Christer Malmberg wrote:
Thank you for the help, I never knew what the symlog flag did actually.
However, there is still a slight problem:
=
x = array([0,1,2,4,6,9,12,24])
y = array([100, 50, 10, 100, 5, 1, 1, 1])
subplot(111)
plot(x, y)
yscale('symlog')
xscale=('linear')
ylim(-1,1000)
show()
=
The plot looks exactly like I want it, the problem is when I change the
1's to 0's in the y-array, then I get a:
File C:\Python26\lib\site-packages\matplotlib\ticker.py, line 1029, in
is_decade
lx = math.log(x)/math.log(base)
ValueError: math domain error
I suppose that means somewhere a log(0) is attempted. This kind of
defeats the purpose...
Yes, it looks like a bug that can be fixed fairly easily. In the
meantime, a workaround is to add the kwarg scaley=False to your call
to plot; or more generally, do something like
ax = subplot(111)
ax.set_autoscaley_on(False)
before proceeding with any plotting commands.
Eric
/C
Quoting Eric Firing efir...@hawaii.edu:
On 05/19/2010 10:28 AM, Benjamin Root wrote:
Maybe I am misunderstanding your problem, but you can select 'semilog'
for the x/yscale parameter.
You mean symlog.
See
http://matplotlib.sourceforge.net/examples/pylab_examples/symlog_demo.html
Although the example doesn't show it, the axis limits don't have to be
symmetric. For example, on the top plot, you can use
gca().set_xlim([0, 100])
to show only the right-hand side.
Eric
Ben Root
On Wed, May 19, 2010 at 7:03 AM, Christer Malmberg
christer.malmberg.0...@student.uu.se
mailto:christer.malmberg.0...@student.uu.se wrote:
Hi,
my problem is that I need a graph with a discontinous y-axis. Let me
explain the problem: in my field (microbiology) the data generated
from for example growth assays have a huge range (10^0-10^9), which
has to be plotted on a semilogy style plot (cell concentration vs.
time). The problem is that 0 cells is a useful number to plot
(indicates cell concentration lower than detection limit), but of
course not possible to show in a log diagram. This is easily solved on
old-style logarithmic graph paper; since the data will be either 0, or
1 it is customary just to draw a zero x-axis at 10^-1 on the paper
and that's that. On the computer, this is extremely hard. Most people
I know resort to various tricks in Excel, such as entering a small
number (0.001 etc) and starting the y-axis range from 10^1 to hide the
problem. This makes excel draw a line, instead of leaving out the dot
and line entirely. The part of the curve below the x-axis is then
manually cut off in a suitable image editor. Needless to say, this is
extremely kludgy. Even professional graphing packages like Graphpad
Prism resort to similar kludges (re-define 0 values to 0.1, change the
y-axis tick label to 0 etc.) This problem of course exists in other
fields, while investigating a solution I found a guy who worked with
aerosol contamination in clean rooms, and he needed to plot values
logarithmically, at the same time as showing detector noise around
1-10 particles. He solved it by the same trick I would like to do in
Matplotlib, namely plotting a standard semilogy plot but with the
10^-1 to 10^0 decade being replaced by a 0-1 linear axis on the same
side.
The guy in this post has the same problem and a useful example:
http://ubuntuforums.org/showthread.php?t=394851
His partial solution is quite bad though, and I just got stuck while
trying to improve it. I looked around the gallery for useful examples,
and the closest I could find is the twinx/twiny function, but I didn't
manage a plot that put one data curve across both axes.
This code gives an image that maybe explains what I'm trying to do:
===
t = array([0,1,2,4,6,9,12,24])
y = array([100, 50, 10, 100, 5, 1, 0, 0])
subplot(111, xscale=linear, yscale=log)
errorbar(x, y, yerr=0.4*y)
linbit = axes([0.125, 0.1, 0.775, 0.1],frameon=False)
linbit.xaxis.set_visible(False)
for tl in linbit.get_yticklabels():
tl.set_color('r')
show()
===
(the y=0 points should be plotted and connected to the line in the
log part)
Is this possible to do in matplotlib? Could someone give me a pointer
on how to go on?
Sorry for the long mail,
/C
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[Matplotlib-users] LaTeX error on semilogy + usetex + SubplotHost
Hi,
I ran into a bug where I get the LaTeX error:
RuntimeError: LaTeX was not able to process the following string:
''
I know it's an uncommon plot, but I need extra (non-uniform) tick labels
at the top so I'm using SubplotHost, on a semilog plot with usetex (so
the fonts look similar to the ones on the paper).
Matplotlib svn r8330 on Ubuntu 9.10.
Regards,
João Silva
Example script: -
from matplotlib import rc
rc('text', usetex=True)
from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
import numpy as np
import matplotlib.pyplot as plt
fig = plt.figure(1)
ax = SubplotHost(fig, 111)
fig.add_subplot(ax)
x = np.arange(1.0,10.0,0.1)
ax.semilogy(x,x**2)
plt.show()
-
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Re: [Matplotlib-users] LaTeX error on semilogy + usetex + SubplotHost
I cannot reproduce this error.
I'm using r8330 on Linux.
I guess the error does not occur when you use a normal subplot?
Just in case, replace axes_grid with axes_grid1 and see if it makes
any difference, i.e.,
from mpl_toolkits.axes_grid1.parasite_axes import SubplotHost
Regards,
-JJ
On Thu, May 20, 2010 at 2:11 PM, João Luís Silva jsi...@fc.up.pt wrote:
Hi,
I ran into a bug where I get the LaTeX error:
RuntimeError: LaTeX was not able to process the following string:
''
I know it's an uncommon plot, but I need extra (non-uniform) tick labels
at the top so I'm using SubplotHost, on a semilog plot with usetex (so
the fonts look similar to the ones on the paper).
Matplotlib svn r8330 on Ubuntu 9.10.
Regards,
João Silva
Example script: -
from matplotlib import rc
rc('text', usetex=True)
from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
import numpy as np
import matplotlib.pyplot as plt
fig = plt.figure(1)
ax = SubplotHost(fig, 111)
fig.add_subplot(ax)
x = np.arange(1.0,10.0,0.1)
ax.semilogy(x,x**2)
plt.show()
-
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Re: [Matplotlib-users] LaTeX error on semilogy + usetex + SubplotHost
The following patch avoids the error with your attached plot. I'm sure
if it the right fix though -- I'm not sure why empty strings are being
sent this far along, and I'm also not seeing any ticks along the top.
Mike
Index: lib/matplotlib/texmanager.py
===
--- lib/matplotlib/texmanager.py(revision 8329)
+++ lib/matplotlib/texmanager.py(working copy)
@@ -578,6 +578,9 @@
return width, heigth and descent of the text.
+if tex.strip() == '':
+return 0, 0, 0
+
if renderer:
dpi_fraction = renderer.points_to_pixels(1.)
else:
On 05/20/2010 02:11 PM, João Luís Silva wrote:
from matplotlib import rc
rc('text', usetex=True)
from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
import numpy as np
import matplotlib.pyplot as plt
fig = plt.figure(1)
ax = SubplotHost(fig, 111)
fig.add_subplot(ax)
x = np.arange(1.0,10.0,0.1)
ax.semilogy(x,x**2)
plt.show()
--
Michael Droettboom
Science Software Branch
Space Telescope Science Institute
Baltimore, Maryland, USA
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Re: [Matplotlib-users] LaTeX error on semilogy + usetex + SubplotHost
The error may be dependent on the version of latex being used. Yours
may be handling the empty content just fine. (I'm using TexLive 2009 on
RHEL5).
Mike
On 05/20/2010 02:34 PM, Jae-Joon Lee wrote:
I cannot reproduce this error.
I'm using r8330 on Linux.
I guess the error does not occur when you use a normal subplot?
Just in case, replace axes_grid with axes_grid1 and see if it makes
any difference, i.e.,
from mpl_toolkits.axes_grid1.parasite_axes import SubplotHost
Regards,
-JJ
On Thu, May 20, 2010 at 2:11 PM, João Luís Silvajsi...@fc.up.pt wrote:
Hi,
I ran into a bug where I get the LaTeX error:
RuntimeError: LaTeX was not able to process the following string:
''
I know it's an uncommon plot, but I need extra (non-uniform) tick labels
at the top so I'm using SubplotHost, on a semilog plot with usetex (so
the fonts look similar to the ones on the paper).
Matplotlib svn r8330 on Ubuntu 9.10.
Regards,
João Silva
Example script: -
from matplotlib import rc
rc('text', usetex=True)
from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
import numpy as np
import matplotlib.pyplot as plt
fig = plt.figure(1)
ax = SubplotHost(fig, 111)
fig.add_subplot(ax)
x = np.arange(1.0,10.0,0.1)
ax.semilogy(x,x**2)
plt.show()
-
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Re: [Matplotlib-users] How to have few marks on the lines?
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.plot use *markevery* keyword. http://matplotlib.sourceforge.net/api/artist_api.html#matplotlib.lines.Line2D.set_markevery If you want more control, you can always draws the lines (without markers) first and overplot markers in positions you want separately. Regards, -JJ On Wed, May 19, 2010 at 11:56 AM, Omer Khalid omer.kha...@cern.ch wrote: Hi, I am a wondering if it's possible to have few line distinguishing marks on the data lines on a chart such as circle, start, square. When I use some thing like this for the color of the graph (i.e. rs, k^), it uses the shape for each data point and the lines becomes very thick. All I want is to put 4-5 shaper markers on each line with line (the data line will have few hundred data points). Many thanks, Omer -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] LaTeX error on semilogy + usetex + SubplotHost
It turns out that when axes_grid toolkit is used and there are some
ticks does not have associated ticklabels (i.e., minor ticks), it
tries to call the get_texts_widths_heights_descents method with
empty string.
The following patch prevent this.
--- a/lib/mpl_toolkits/axisartist/axis_artist.py
+++ b/lib/mpl_toolkits/axisartist/axis_artist.py
@@ -769,6 +769,7 @@ class TickLabels(AxisLabel, AttributeCopier): # mtext.Text
#self._set_offset_radius(r)
for (x, y), a, l in self._locs_angles_labels:
+if not l.strip(): continue
self._set_ref_angle(a) #+ add_angle
self.set_x(x)
self.set_y(y)
@@ -811,6 +812,7 @@ class TickLabels(AxisLabel, AttributeCopier): # mtext.Text
whd_list = []
for (x, y), a, l in self._locs_angles_labels:
+if not l.strip(): continue
clean_line, ismath = self.is_math_text(l)
whd = renderer.get_text_width_height_descent(
clean_line, self._fontproperties, ismath=ismath)
But it may be still safer to return 0,0,0 when empty string is given
for *get_texts_widths_heights_descents*?
Regards,
-JJ
On Thu, May 20, 2010 at 2:36 PM, Michael Droettboom md...@stsci.edu wrote:
The following patch avoids the error with your attached plot. I'm sure
if it the right fix though -- I'm not sure why empty strings are being
sent this far along, and I'm also not seeing any ticks along the top.
Mike
Index: lib/matplotlib/texmanager.py
===
--- lib/matplotlib/texmanager.py (revision 8329)
+++ lib/matplotlib/texmanager.py (working copy)
@@ -578,6 +578,9 @@
return width, heigth and descent of the text.
+ if tex.strip() == '':
+ return 0, 0, 0
+
if renderer:
dpi_fraction = renderer.points_to_pixels(1.)
else:
On 05/20/2010 02:11 PM, João Luís Silva wrote:
from matplotlib import rc
rc('text', usetex=True)
from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
import numpy as np
import matplotlib.pyplot as plt
fig = plt.figure(1)
ax = SubplotHost(fig, 111)
fig.add_subplot(ax)
x = np.arange(1.0,10.0,0.1)
ax.semilogy(x,x**2)
plt.show()
--
Michael Droettboom
Science Software Branch
Space Telescope Science Institute
Baltimore, Maryland, USA
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Re: [Matplotlib-users] get_tick{label}s: are tick labels drawn?
Like the gridlines, these are determined during the drawing time. Each tick instances have tick1On tick2On label1On label2On attributes that controls whether to draw tick (or ticklabel) or not. Again, note that not all ticks that are returned by get_xticks() methods may be actually drawn. -JJ On Sat, May 8, 2010 at 4:36 AM, Nico Schlömer nico.schloe...@gmail.com wrote: Hi, say, is there a way to query an axis object whether or not the tick labels are drawn? I looked at -- one the x-axis -- get_xticks( and get_xticklabels() which in two different situations would spit out a list of doubles (the tick positions) and a list of text entries of the form Text(0,0,''). In one plot, though, the tick labels are drawn, not in the other one. Cheers, Nico -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] get_tick{label}s: are tick labels drawn?
On Thu, May 20, 2010 at 3:17 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote: Again, note that not all ticks that are returned by get_xticks() methods may be actually drawn. I mean, even if their tick1On (and others) is True. -JJ -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] get_tick{label}s: are tick labels drawn?
On Mon, May 10, 2010 at 12:19 PM, Nico Schlömer nico.schloe...@gmail.com wrote: When tick labels are explicitly supplied, that may not actually reflect in the return result of get_ticks. Specifically, I set the tick labels in a color bar, but get_ticklabels() returns a list of empty text objects Text(0,0,''). For regular axes, that seems to work better. How did you set your ticklabels? Again, matplotlib does not guarantee that all ticks that are returned by get_ticks() will be actually drawn. On other words, get_ticks may return ticks that are meaningless (and this is not a bug). Also, colorbar axes works slightly differently from normal axes, but I'm not sure if this is related with your problem. As far as I can say, the use of get_ticks(), get_ticklabels() and etc method should be limited to when you want to view/change their artist attributes (like colors, etc.). You should not rely on this to determine things like, whether some ticks will be drawn, locations of ticks, and etc. -JJ -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] eps/pdf/svg contourf contours don't overlap properly with high resolution data
Yes, it's true that uncommenting path.simplify : False line inside the
matplotlibrc file fixes the artifacts. However, it also produces HUGE
PDF/EPS file sizes. Perhaps, it's better to change path.simplify parameter
as needed inside the code via:
import matplotlib.pyplot as plt
plt.rcParams['path.simplify'] = False
# Plotting Code Block goes here
plt.rcdefaults()
Does anyone have another fix for this problem that DOES NOT produce HUGE
PDF/EPS files?
efiring wrote:
Jouni K. Seppänen wrote:
Jordan Dawe jd...@eos.ubc.ca writes:
Contourf plots that I output in vector format files have little
triangular glitches at the contour boundaries if the contoured array
is larger than about 200x200. The same files in png format are
perfect, even at very high dpi values.
The current svn trunk doesn't have the really jarring little triangles
(at least in the pdf output), but there are still several very obtuse
white triangles between the regions. Rasterization at a high dpi makes
the output somewhat better at the cost of larger output files:
c=contourf(X, Y, Z, 10)
axis((-3, 3, -3, 3))
savefig('unrasterized.pdf')
for d in c.collections:
d.set_rasterized(True)
savefig('rasterized.pdf',dpi=200)
At least in the trunk--and maybe in 0.99.0--the problem is caused by
path simplification. In the trunk, for the eps file, it goes away
completely if I use a matplotlibrc with
path.simplify : False
In the trunk, what seems to be happening is that when a contour boundary
is almost straight, but has an inflection point, the curves for the
adjacent patch boundaries are simplified slightly differently. This is
not surprising; if nothing else, the path will be traveled in a
different direction when it is an outer boundary than when it is an
inner boundary (for a set of concentric boundaries).
Jordan, try using a local matplotlibrc with the above. Unless you are
already customizing via a local matplotlibrc, that line is all you need.
One reason the trunk behavior differs from 0.99.0 is that contour patch
boundaries are now being turned into compound boundaries instead of
using a branch cut to connect the outside path to the inside path. I
suspect simplification is causing the artifacts in both cases, though.
Eric
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Re: [Matplotlib-users] Ordinal must be = 1 with SuplotHost and dates
Hello, I came across problem of label rotation with autofmt_xdate() in subplothost too. Is there a new version with the bug fixed or a workaround to doing the label rotation in subplothost? Thanks, Solomon Jae-Joon Lee wrote: The workarounds suggested in this thread does not work? To me, the ordinal thing is not actually a bug, but you need some extra caution to avoid this error happening. The issue with the label roration is a different matter though. Regards, -JJ On Wed, Jan 13, 2010 at 8:16 AM, Rodribat rodri...@gmail.com wrote: Hi matplotlib users! Did someone solve the problem of use fig.autofmt_xdate() function with SubplotHost object? I googled for it and I found this question only here, without solution. Is there a bug? Anyone knows someway to solve this? Thank you, []'s Rodrigo Batista David GUERINEAU wrote: Hi matplotlib_users ! I'm David from Berlin, and believe I'm experiencing some problem with the SubplotHost module: I'm generating graphs from hudge databases of cpu and ethernet statistics, and I wanted to mix several graphs concerning ethernet statistics in the same figure, with time as x axis, and bytes-in, bytes-out, packets-in, packets-out and number of collisions as three different y axes, with three different scale. I took the inspiration from for the x axes and from http://matplotlib.sourceforge.net/examples/axes_grid/demo_parasite_axes2.html for the y axes The following code is a synthetic reproduction of the problem I'm experiencing (it is also attached): from matplotlib.dates import date2num from matplotlib import pyplot from matplotlib import pylab from mpl_toolkits.axes_grid.parasite_axes import SubplotHost from datetime import datetime dates = [ 733581.2083337, 733581.20837962965, 733581.20842592593, 733581.2084721, 733581.20851851848, 733581.20855324075, 733581.20858796302, 733581.2086342593, 733581.20866898145, 733581.20871527772] rxB = [054L, 130L, 144L, 54L, 36L, 9L, 35L, 43L, 85L, 43L] txB = [4L, 9L, 9L, 5L, 4L, 4L, 4L, 5L, 6L, 5L] rxP = [77, 228, 251, 112, 77, 42, 75, 97, 147, 91] txP = [61, 177, 188, 90, 61, 40, 64, 76, 113, 77] col = [1, 0, 0, 0, 0, 0, 0, 0, 0, 0] ethPlot = pyplot fig = ethPlot.figure() host = SubplotHost(fig, 111) host.set_ylabel(kB/s) host.set_xlabel(Time) par1 = host.twinx() par2 = host.twinx() par1.set_ylabel(Packets/s) par2.axis[right].set_visible(False) offset = 60, 0 new_axisline = par2.get_grid_helper().new_fixed_axis par2.axis[right2] = new_axisline(loc=right, axes=par2, offset=offset) par2.axis[right2].label.set_visible(True) par2.axis[right2].set_label(Collisions) par1.set_ylim(0, 6000) par2.set_ylim(0, 7000) host.axis([ dates[0], ( dates[0] + 0.041 ), -7000, 7000]) par1.axis([ dates[0], ( dates[0] + 0.041 ), -1, 1]) par2.axis([ dates[0], ( dates[0] + 0.041 ), -700, 700]) fig.add_axes(host) ethPlot.subplots_adjust(right=0.75) drawRxByt, = host.plot_date(dates, rxB, 'g', tz=None, xdate=True, ydate=False, label=kB/s in) drawTxByt, = host.plot_date(dates, txB, 'b', tz=None, xdate=True, ydate=False, label=kB/s out) drawRxPaq, = par1.plot_date(dates, rxP, 'm', tz=None, xdate=True, ydate=False, label=packets/s in) drawTxPaq, = par1.plot_date(dates, txP, 'y', tz=None, xdate=True, ydate=False, label=packets/s out) drawColls, = par2.plot_date(dates, col, 'r', tz=None, xdate=True, ydate=False, label=collisions) fig.autofmt_xdate() host.set_xlabel(Time) host.set_ylabel(kB/s) par1.set_ylabel(Packets/s) host.legend() host.axis[left].label.set_color(drawRxByt.get_color()) host.axis[left].label.set_color(drawTxByt.get_color()) par1.axis[right].label.set_color(drawRxPaq.get_color()) par1.axis[right].label.set_color(drawtxPaq.get_color()) par2.axis[right2].label.set_color(drawColls.get_color()) ethPlot.draw() pylab.savefig( './test.png', dpi=(640/8)) Maybe I do something wrong somewhere here, but other scripts that do the same for a single graphwork like a charm. So it's not a question of dataType or something. To compare with a working code, here is the first version of the fuction that does the job on single graphs without any problem : def drawEthGraph(filename, hdates, rxP, txP, rxB, txB, col): ethPlot = pyplot fig = ethPlot.figure() ax = fig.add_subplot(111) ax.plot_date(hdates, rxP, 'g', None, True, False) ax.plot_date(hdates, txP, 'b', None, True, False) ax.plot_date(hdates, rxB, 'g', None, True, False) ax.plot_date(hdates, txB, 'b', None, True, False) ax.plot_date(hdates, col, 'r', None, True, False) ax.axis([ hdates[0], ( hdates[0] + 0.042 ), -7000, 7000]) ax.grid(True) fig.autofmt_xdate() pylab.savefig( filename, dpi=(640/8)) I don't think I understand the whole process of generation, but I thought at least at the beginnig I was having a good feeling with this API. Now I wonder how to go
Re: [Matplotlib-users] LaTeX error on semilogy + usetex + SubplotHost
Jae-Joon Lee wrote: I cannot reproduce this error. I'm using r8330 on Linux. I guess the error does not occur when you use a normal subplot? Just in case, replace axes_grid with axes_grid1 and see if it makes any difference, i.e., from mpl_toolkits.axes_grid1.parasite_axes import SubplotHost Regards, -JJ I've tried axes_grid1 and it works well. I'm using the default latex (Ubuntu 9.10) latex --version pdfTeX using libpoppler 3.141592-1.40.3-2.2 (Web2C 7.5.6) [etc.] Both the patches presented fixed the problem, thanks. João Silva -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
