[Matplotlib-users] Plotting from datafile
Dear All, I'm new to Matplotlib. It might be a silly question, how does one plot data(not functions) in Matplotlib. How: 1)Two arrays (X and Y) can be plotted in a scatter diagram? 2) or a number of data files can used to produce different plots having different(sequential) name? Thanks in anticipation. Regards, Sayan -- -- *Sayan Chatterjee* Dept. of Physics and Meteorology IIT Kharagpur Lal Bahadur Shastry Hall of Residence Room AB 205 Mob: +91 9874513565 blog: www.blissprofound.blogspot.com Volunteer , Padakshep www.padakshep.org -- Own the Future-Intelreg; Level Up Game Demo Contest 2013 Rise to greatness in Intel's independent game demo contest. Compete for recognition, cash, and the chance to get your game on Steam. $5K grand prize plus 10 genre and skill prizes. Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Plotting from datafile
Hey Sayan, for reading in simple ASCII-Files containing your two arrays you should have a look at the numpy.loadtxt function. Scatter plots in matplotlib are then easily created as shown here http://matplotlib.org/examples/pylab_examples/scatter_demo.html For your purpose you can do something like: import os import numpy as np import matplotlib.pyplot as plt for file in os.path.listdir(): x, y = np.loadtxt(file, unpack=True) plt.scatter(x,y) plt.savefig(file + '.png') Cheers, Florian Am 27.03.2013 09:32, schrieb Sayan Chatterjee: Dear All, I'm new to Matplotlib. It might be a silly question, how does one plot data(not functions) in Matplotlib. How: 1)Two arrays (X and Y) can be plotted in a scatter diagram? 2) or a number of data files can used to produce different plots having different(sequential) name? Thanks in anticipation. Regards, Sayan -- -- *Sayan Chatterjee* Dept. of Physics and Meteorology IIT Kharagpur Lal Bahadur Shastry Hall of Residence Room AB 205 Mob: +91 9874513565 blog: www.blissprofound.blogspot.com http://www.blissprofound.blogspot.com Volunteer , Padakshep www.padakshep.org http://www.padakshep.org -- Own the Future-Intelreg; Level Up Game Demo Contest 2013 Rise to greatness in Intel's independent game demo contest. Compete for recognition, cash, and the chance to get your game on Steam. $5K grand prize plus 10 genre and skill prizes. Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Own the Future-Intelreg; Level Up Game Demo Contest 2013 Rise to greatness in Intel's independent game demo contest. Compete for recognition, cash, and the chance to get your game on Steam. $5K grand prize plus 10 genre and skill prizes. Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Plotting from datafile
On Wed, 27 Mar 2013 14:02:58 +0530 Sayan Chatterjee sayanchatter...@gmail.com wrote: I'm new to Matplotlib. It might be a silly question, how does one plot data(not functions) in Matplotlib. Besides the solution given in the first reply, you may also check https://github.com/dmcdougall/mpl_binutils Regards Alex -- Own the Future-Intelreg; Level Up Game Demo Contest 2013 Rise to greatness in Intel's independent game demo contest. Compete for recognition, cash, and the chance to get your game on Steam. $5K grand prize plus 10 genre and skill prizes. Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] set_scale and set_xscale
On Wed, Mar 27, 2013 at 1:03 AM, Gökhan Sever gokhanse...@gmail.com wrote:
Hello,
Aren't these two log scaling calls supposed to be performing the same
action?
Here is a simple script tested in ipython --pylab
fig = plt.figure(figsize=(5, 5))
ax1 = fig.add_subplot(1,1,1)
ax1.plot(np.random.randn(100))
ax1.xaxis.set_scale('log')
ax1.set_xscale('log')
Intuitively, I guess they should be identical, but they don't seem to be.
It seems like for ax1.xaxis.set_scale('log'), everything is set
correctly, except the projection.
Ben Root
--
Own the Future-Intelreg; Level Up Game Demo Contest 2013
Rise to greatness in Intel's independent game demo contest.
Compete for recognition, cash, and the chance to get your game
on Steam. $5K grand prize plus 10 genre and skill prizes.
Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Trouble with legend and axis scaling
Sterling,
I'm using matplotlib version 1.2.0 with agg backend.
Here are two code examples, one for each problem. The first one doesn't save
the figure due to the legend problem, seterr causes the script to stop with an
error at that position.
The second example shows the scientific labels on the y-axis, although it
should be disabled in the code. I can't get the y-axis to display plain labels.
First example:
[code]
import numpy as np
np.seterr(all='raise')
import matplotlib.pyplot as plt
x_i = [11.7574075935, 11.66520713579, 11.6762413105, 11.6580992311,
11.65636838851]
x_r = []
dates = [2.83611000e-01, 2.69330463e+02, 2.70280648e+02, 2.71359248e+02,
2.72320822e+02]
diff = 0.16
ra = [0., 110.5349726]
dec = [0., -16.1061281]
med_i = np.median(x_i)
med_r = np.median(x_r)
plt.figure(i_only, figsize=(14.40, 9.00), dpi=100)
if x_r == []:
plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
else:
plt.plot(dates, np.asarray(x_r), 'g-', label = 'r_s')
plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
plt.rcParams['xtick.major.pad']=10
plt.rcParams['ytick.major.pad']=10
ax = plt.gca()
ax.title.set_y(1.1)
formy = plt.ScalarFormatter()
formy.set_powerlimits((-5, 5))
formy.set_scientific(False)
ax.yaxis.set_major_formatter(formy)
ax.set_ylim(ax.get_ylim()[::-1])
for tick in ax.xaxis.get_major_ticks():
tick.label.set_fontsize(16)
for tick in ax.yaxis.get_major_ticks():
tick.label.set_fontsize(16)
plt.xlabel('Days', fontsize='20', labelpad=20)
plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20)
if x_r == []:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
else:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
leg = plt.gca().get_legend()
ltext = leg.get_texts()
plt.setp(ltext, fontsize='16')
plt.savefig('lc0.png', facecolor='white', bbox_inches='tight')
plt.close(i_only)
[/code]
Second example:
[code]
import numpy as np
import matplotlib.pyplot as plt
y_i = [11.1044563514, 11.1228276748, 11.1361234115, 11.1298162168,
11.12513415219]
y_r = [11.14866716899, 11.10194503, 11.11235246531, 11.11168787179,
11.1214449011]
dates_i = [2.83611000e-01, 2.69330463e+02, 2.70280648e+02, 2.72320822e+02,
2.73250579e+02]
dates_r = [311.28215, 324.25844, 325.25194, 330.20983, 338.21356]
diff = 0.16
ra = [112.5379659, 110.5349726]
dec = [ -15.9841039, -16.1061281]
med_i = np.median(y_i)
med_r = np.median(y_r)
plt.figure(i_only, figsize=(14.40, 9.00), dpi=100)
if y_r == []:
plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
else:
plt.plot(dates_r, np.asarray(y_r), 'g-', label = 'r_s')
plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
plt.rcParams['xtick.major.pad']=10
plt.rcParams['ytick.major.pad']=10
ax = plt.gca()
ax.title.set_y(1.1)
formy = plt.ScalarFormatter()
formy.set_powerlimits((-5, 5))
formy.set_scientific(False)
ax.yaxis.set_major_formatter(formy)
ax.set_ylim(ax.get_ylim()[::-1])
for tick in ax.xaxis.get_major_ticks():
tick.label.set_fontsize(16)
for tick in ax.yaxis.get_major_ticks():
tick.label.set_fontsize(16)
plt.xlabel('Days', fontsize='20', labelpad=20)
plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20)
if y_r == []:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
else:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
leg = plt.gca().get_legend()
ltext = leg.get_texts()
plt.setp(ltext, fontsize='16')
plt.savefig('lc0.png', facecolor='white', bbox_inches='tight')
plt.close(i_only)
[/code]
Best regards,
frix
Am 26.03.2013 um 20:36 schrieb Sterling Smith smit...@fusion.gat.com:
Frix,
It may be useful to post the version and backend you are using to the list.
import matplotlib
print matplotlib.__version__
print matplotlib.get_backend()
Also, if you can format the code as a simple self-contained example, that
would help others confirm what you are seeing.
-Sterling
On Mar 26, 2013, at 12:01PM, Hackstein wrote:
Hello everyone,
I have two issues with my current projects:
1) I automatically generate plots of several data sets in a for-loop, all
of which have the same shape of x and y values, but some of which have two
of those data (i.e. graphs) sets per figure, others have only one.
I create the legend by
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, borderaxespad=0.)
which works perfectly if I plot two data sets (and therefore two labels) in
a figure, but sometimes (not always) causes an error, if only one data set
is
Re: [Matplotlib-users] Plotting from datafile
Another, slightly more flexible, option is the genfromtxt function, also in numpy. Normally you should try genfromtxt after loadtxt doesn't work. Or, that is my normal method. Steven On Wed Mar 27 07:16:45 2013, Sayan Chatterjee wrote: Thank you very much for your prompt reply. Florian, your reply seems to be the answer to my question. I'll try it out. If can't figure out,I'll get back to you. On 27 March 2013 15:37, Florian M. Wagner wagne...@student.ethz.ch mailto:wagne...@student.ethz.ch wrote: Hey Sayan, for reading in simple ASCII-Files containing your two arrays you should have a look at the numpy.loadtxt function. Scatter plots in matplotlib are then easily created as shown here http://matplotlib.org/examples/pylab_examples/scatter_demo.html For your purpose you can do something like: import os import numpy as np import matplotlib.pyplot as plt for file in os.path.listdir(): x, y = np.loadtxt(file, unpack=True) plt.scatter(x,y) plt.savefig(file + '.png') Cheers, Florian Am 27.03.2013 09:32, schrieb Sayan Chatterjee: Dear All, I'm new to Matplotlib. It might be a silly question, how does one plot data(not functions) in Matplotlib. How: 1)Two arrays (X and Y) can be plotted in a scatter diagram? 2) or a number of data files can used to produce different plots having different(sequential) name? Thanks in anticipation. Regards, Sayan -- -- *Sayan Chatterjee* Dept. of Physics and Meteorology IIT Kharagpur Lal Bahadur Shastry Hall of Residence Room AB 205 Mob: +91 9874513565 blog: www.blissprofound.blogspot.com http://www.blissprofound.blogspot.com Volunteer , Padakshep www.padakshep.org http://www.padakshep.org -- Own the Future-Intelreg; Level Up Game Demo Contest 2013 Rise to greatness in Intel's independent game demo contest. Compete for recognition, cash, and the chance to get your game on Steam. $5K grand prize plus 10 genre and skill prizes. Submit your demo by 6/6/13.http://p.sf.net/sfu/intel_levelupd2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net mailto:Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Own the Future-Intelreg; Level Up Game Demo Contest 2013 Rise to greatness in Intel's independent game demo contest. Compete for recognition, cash, and the chance to get your game on Steam. $5K grand prize plus 10 genre and skill prizes. Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net mailto:Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- -- *Sayan Chatterjee* Dept. of Physics and Meteorology IIT Kharagpur Lal Bahadur Shastry Hall of Residence Room AB 205 Mob: +91 9874513565 blog: www.blissprofound.blogspot.com http://www.blissprofound.blogspot.com Volunteer , Padakshep www.padakshep.org http://www.padakshep.org -- Own the Future-Intelreg; Level Up Game Demo Contest 2013 Rise to greatness in Intel's independent game demo contest. Compete for recognition, cash, and the chance to get your game on Steam. $5K grand prize plus 10 genre and skill prizes. Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Steven Boada Doctoral Student Dept of Physics and Astronomy Texas AM University bo...@physics.tamu.edu -- Own the Future-Intelreg; Level Up Game Demo Contest 2013 Rise to greatness in Intel's independent game demo contest. Compete for recognition, cash, and the chance to get your game on Steam. $5K grand prize plus 10 genre and skill prizes. Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Plotting from datafile
Hi Steven, I am a newbie to Python and hence Matplotlib. I cannot get your point properly. Could you please redirect me to a page where the usage is demonstrated? As I can see, you're a doctoral student in Physics, it might be worthwhile to tell you that I'm trying to code a Zeldovich Approximation for a simple sinusoidal potential and want to make it evolve with varying scale factor and make an animation of it. Cheers, Sayan On 27 March 2013 19:58, Steven Boada bo...@physics.tamu.edu wrote: Another, slightly more flexible, option is the genfromtxt function, also in numpy. Normally you should try genfromtxt after loadtxt doesn't work. Or, that is my normal method. Steven On Wed Mar 27 07:16:45 2013, Sayan Chatterjee wrote: Thank you very much for your prompt reply. Florian, your reply seems to be the answer to my question. I'll try it out. If can't figure out,I'll get back to you. On 27 March 2013 15:37, Florian M. Wagner wagne...@student.ethz.ch mailto:wagne...@student.ethz.**ch wagne...@student.ethz.ch wrote: Hey Sayan, for reading in simple ASCII-Files containing your two arrays you should have a look at the numpy.loadtxt function. Scatter plots in matplotlib are then easily created as shown here http://matplotlib.org/**examples/pylab_examples/**scatter_demo.htmlhttp://matplotlib.org/examples/pylab_examples/scatter_demo.html For your purpose you can do something like: import os import numpy as np import matplotlib.pyplot as plt for file in os.path.listdir(): x, y = np.loadtxt(file, unpack=True) plt.scatter(x,y) plt.savefig(file + '.png') Cheers, Florian Am 27.03.2013 09:32, schrieb Sayan Chatterjee: Dear All, I'm new to Matplotlib. It might be a silly question, how does one plot data(not functions) in Matplotlib. How: 1)Two arrays (X and Y) can be plotted in a scatter diagram? 2) or a number of data files can used to produce different plots having different(sequential) name? Thanks in anticipation. Regards, Sayan -- --**--** -- *Sayan Chatterjee* Dept. of Physics and Meteorology IIT Kharagpur Lal Bahadur Shastry Hall of Residence Room AB 205 Mob: +91 9874513565 blog: www.blissprofound.blogspot.com http://www.blissprofound.**blogspot.comhttp://www.blissprofound.blogspot.com Volunteer , Padakshep www.padakshep.org http://www.padakshep.org --**--** -- Own the Future-Intelreg; Level Up Game Demo Contest 2013 Rise to greatness in Intel's independent game demo contest. Compete for recognition, cash, and the chance to get your game on Steam. $5K grand prize plus 10 genre and skill prizes. Submit your demo by 6/6/13.http://p.sf.net/sfu/**intel_levelupd2dhttp://p.sf.net/sfu/intel_levelupd2d __**_ Matplotlib-users mailing list Matplotlib-users@lists.**sourceforge.netMatplotlib-users@lists.sourceforge.net mailto: Matplotlib-users@**lists.sourceforge.netMatplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/**lists/listinfo/matplotlib-**usershttps://lists.sourceforge.net/lists/listinfo/matplotlib-users --**--** -- Own the Future-Intelreg; Level Up Game Demo Contest 2013 Rise to greatness in Intel's independent game demo contest. Compete for recognition, cash, and the chance to get your game on Steam. $5K grand prize plus 10 genre and skill prizes. Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_**levelupd2dhttp://p.sf.net/sfu/intel_levelupd2d __**_ Matplotlib-users mailing list Matplotlib-users@lists.**sourceforge.netMatplotlib-users@lists.sourceforge.net mailto:Matplotlib-users@**lists.sourceforge.netMatplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/**lists/listinfo/matplotlib-**usershttps://lists.sourceforge.net/lists/listinfo/matplotlib-users -- --**--** -- *Sayan Chatterjee* Dept. of Physics and Meteorology IIT Kharagpur Lal Bahadur Shastry Hall of Residence Room AB 205 Mob: +91 9874513565 blog: www.blissprofound.blogspot.com http://www.blissprofound.**blogspot.comhttp://www.blissprofound.blogspot.com Volunteer , Padakshep www.padakshep.org http://www.padakshep.org --**--** -- Own the Future-Intelreg; Level Up Game Demo Contest 2013 Rise to greatness in Intel's independent game demo contest.
Re: [Matplotlib-users] Trouble with legend and axis scaling
Frix,
I get the same error for your first example with v1.1.1 [although I had to
comment out the med_r = np.median(x_r) to get it to run]. You should probably
file a bug at [1].
I get the same result for your yaxis. You need to change the formatter to
ax.yaxis.set_major_formatter(plt.ScalarFormatter(useOffset=False))
-Sterling
[1] https://github.com/matplotlib/matplotlib/issues
On Mar 27, 2013, at 7:09AM, Hackstein wrote:
Sterling,
I'm using matplotlib version 1.2.0 with agg backend.
Here are two code examples, one for each problem. The first one doesn't save
the figure due to the legend problem, seterr causes the script to stop with
an error at that position.
The second example shows the scientific labels on the y-axis, although it
should be disabled in the code. I can't get the y-axis to display plain
labels.
First example:
[code]
import numpy as np
np.seterr(all='raise')
import matplotlib.pyplot as plt
x_i = [11.7574075935, 11.66520713579, 11.6762413105, 11.6580992311,
11.65636838851]
x_r = []
dates = [2.83611000e-01, 2.69330463e+02, 2.70280648e+02,
2.71359248e+02, 2.72320822e+02]
diff = 0.16
ra = [0., 110.5349726]
dec = [0., -16.1061281]
med_i = np.median(x_i)
med_r = np.median(x_r)
plt.figure(i_only, figsize=(14.40, 9.00), dpi=100)
if x_r == []:
plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
else:
plt.plot(dates, np.asarray(x_r), 'g-', label = 'r_s')
plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
plt.rcParams['xtick.major.pad']=10
plt.rcParams['ytick.major.pad']=10
ax = plt.gca()
ax.title.set_y(1.1)
formy = plt.ScalarFormatter()
formy.set_powerlimits((-5, 5))
formy.set_scientific(False)
ax.yaxis.set_major_formatter(formy)
ax.set_ylim(ax.get_ylim()[::-1])
for tick in ax.xaxis.get_major_ticks():
tick.label.set_fontsize(16)
for tick in ax.yaxis.get_major_ticks():
tick.label.set_fontsize(16)
plt.xlabel('Days', fontsize='20', labelpad=20)
plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20)
if x_r == []:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
else:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
leg = plt.gca().get_legend()
ltext = leg.get_texts()
plt.setp(ltext, fontsize='16')
plt.savefig('lc0.png', facecolor='white', bbox_inches='tight')
plt.close(i_only)
[/code]
Second example:
[code]
import numpy as np
import matplotlib.pyplot as plt
y_i = [11.1044563514, 11.1228276748, 11.1361234115, 11.1298162168,
11.12513415219]
y_r = [11.14866716899, 11.10194503, 11.11235246531,
11.11168787179, 11.1214449011]
dates_i = [2.83611000e-01, 2.69330463e+02, 2.70280648e+02,
2.72320822e+02, 2.73250579e+02]
dates_r = [311.28215, 324.25844, 325.25194, 330.20983, 338.21356]
diff = 0.16
ra = [112.5379659, 110.5349726]
dec = [ -15.9841039, -16.1061281]
med_i = np.median(y_i)
med_r = np.median(y_r)
plt.figure(i_only, figsize=(14.40, 9.00), dpi=100)
if y_r == []:
plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
else:
plt.plot(dates_r, np.asarray(y_r), 'g-', label = 'r_s')
plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
plt.rcParams['xtick.major.pad']=10
plt.rcParams['ytick.major.pad']=10
ax = plt.gca()
ax.title.set_y(1.1)
formy = plt.ScalarFormatter()
formy.set_powerlimits((-5, 5))
formy.set_scientific(False)
ax.yaxis.set_major_formatter(formy)
ax.set_ylim(ax.get_ylim()[::-1])
for tick in ax.xaxis.get_major_ticks():
tick.label.set_fontsize(16)
for tick in ax.yaxis.get_major_ticks():
tick.label.set_fontsize(16)
plt.xlabel('Days', fontsize='20', labelpad=20)
plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20)
if y_r == []:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
else:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
leg = plt.gca().get_legend()
ltext = leg.get_texts()
plt.setp(ltext, fontsize='16')
plt.savefig('lc0.png', facecolor='white', bbox_inches='tight')
plt.close(i_only)
[/code]
Best regards,
frix
Am 26.03.2013 um 20:36 schrieb Sterling Smith smit...@fusion.gat.com:
Frix,
It may be useful to post the version and backend you are using to the list.
import matplotlib
print matplotlib.__version__
print matplotlib.get_backend()
Also, if you can format the code as a simple self-contained example, that
would help others confirm what you are seeing.
-Sterling
On Mar 26, 2013, at 12:01PM, Hackstein wrote:
Hello everyone,
I have two issues with my
[Matplotlib-users] ANN: matplotlib 1.2.1 release
I'm pleased to announce the release of matplotlib 1.2.1. This is a bug release and improves stability and quality over the 1.2.0 release from four months ago. All users on 1.2.0 are encouraged to upgrade. Since github no longer provides download hosting, our tarballs and binaries are back on SourceForge, and we have a master index of downloads here: http://matplotlib.org/downloads http://matplotlib.org/downloads.html Highlights include: - Usage of deprecated APIs in matplotlib are now displayed by default on all Python versions - Agg backend: Cleaner rendering of rectilinear lines when snapping to pixel boundaries, and fixes rendering bugs when using clip paths - Python 3: Fixes a number of missed Python 3 compatibility problems - Histograms and stacked histograms have a number of important bugfixes - Compatibility with more 3rd-party TrueType fonts - SVG backend: Image support in SVG output is consistent with other backends - Qt backend: Fixes leaking of window objects in Qt backend - hexbin with a log scale now works correctly - autoscaling works better on 3D plots - ...and numerous others. Enjoy! As always, there are number of good ways to get help with matplotlib listed on the homepage at http://matplotlib.org/ and I thank everyone for their continued support of this project. Mike Droettboom -- Own the Future-Intelreg; Level Up Game Demo Contest 2013 Rise to greatness in Intel's independent game demo contest. Compete for recognition, cash, and the chance to get your game on Steam. $5K grand prize plus 10 genre and skill prizes. Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] difficult LaTeX formula for rendering
Dear experts,
in our sphinx-based project documentation (www.diracprogram.org) we have a
complicated latex math formula, which is not rendered:
/usr/lib/pymodules/python2.7/matplotlib/sphinxext/mathmpl.py:56: Warning: Could
not render math expression $i \hbar \frac{\partial}{\partial t} \left(
\begin{array}{c}\Psi^L \\\Psi^S \end{array} \right) = c \left(
\begin{array}{c}(\vec{\sigma} \cdot \vec{\pi}) \Psi^S \\(\vec{\sigma} \cdot
\vec{\pi}) \Psi^L \end{array} \right)+ m_ec^2 \left( \begin{array}{c} \Psi^L
\\-\Psi^S \end{array} \right) + V \left( \begin{array}{c}\Psi^L \\\Psi^S
\end{array} \right)$
The index.rst file with the sole math formula is attached.
I have most recent Ubuntu 12.10 (x86_64) with default packages python-sphinx
1.1.2, python-matplotlib 1.1.1.
Any help, please ? I was trying to cut this formula down; the smallest LaTeX
part not rendered is \begin{array}{c}\Psi^L \\ \Psi^S \end{array}.
Yours,
Miro
index.rst
Description: index.rst
--
Own the Future-Intelreg; Level Up Game Demo Contest 2013
Rise to greatness in Intel's independent game demo contest.
Compete for recognition, cash, and the chance to get your game
on Steam. $5K grand prize plus 10 genre and skill prizes.
Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d___
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Re: [Matplotlib-users] Trouble with legend and axis scaling
The first issue is a bug, and I opened a PR that fixes this.
https://github.com/matplotlib/matplotlib/pull/1864
In the comments of the PR, you can find a workaround.
Regards,
-JJ
On Wed, Mar 27, 2013 at 11:09 PM, Hackstein news.hackst...@gmx.net wrote:
Sterling,
I'm using matplotlib version 1.2.0 with agg backend.
Here are two code examples, one for each problem. The first one doesn't
save the figure due to the legend problem, seterr causes the script to stop
with an error at that position.
The second example shows the scientific labels on the y-axis, although it
should be disabled in the code. I can't get the y-axis to display plain
labels.
First example:
[code]
import numpy as np
np.seterr(all='raise')
import matplotlib.pyplot as plt
x_i = [11.7574075935, 11.66520713579, 11.6762413105, 11.6580992311,
11.65636838851]
x_r = []
dates = [2.83611000e-01, 2.69330463e+02, 2.70280648e+02,
2.71359248e+02, 2.72320822e+02]
diff = 0.16
ra = [0., 110.5349726]
dec = [0., -16.1061281]
med_i = np.median(x_i)
med_r = np.median(x_r)
plt.figure(i_only, figsize=(14.40, 9.00), dpi=100)
if x_r == []:
plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
else:
plt.plot(dates, np.asarray(x_r), 'g-', label = 'r_s')
plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
plt.rcParams['xtick.major.pad']=10
plt.rcParams['ytick.major.pad']=10
ax = plt.gca()
ax.title.set_y(1.1)
formy = plt.ScalarFormatter()
formy.set_powerlimits((-5, 5))
formy.set_scientific(False)
ax.yaxis.set_major_formatter(formy)
ax.set_ylim(ax.get_ylim()[::-1])
for tick in ax.xaxis.get_major_ticks():
tick.label.set_fontsize(16)
for tick in ax.yaxis.get_major_ticks():
tick.label.set_fontsize(16)
plt.xlabel('Days', fontsize='20', labelpad=20)
plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20)
if x_r == []:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
else:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
leg = plt.gca().get_legend()
ltext = leg.get_texts()
plt.setp(ltext, fontsize='16')
plt.savefig('lc0.png', facecolor='white', bbox_inches='tight')
plt.close(i_only)
[/code]
Second example:
[code]
import numpy as np
import matplotlib.pyplot as plt
y_i = [11.1044563514, 11.1228276748, 11.1361234115, 11.1298162168,
11.12513415219]
y_r = [11.14866716899, 11.10194503, 11.11235246531,
11.11168787179, 11.1214449011]
dates_i = [2.83611000e-01, 2.69330463e+02, 2.70280648e+02,
2.72320822e+02, 2.73250579e+02]
dates_r = [311.28215, 324.25844, 325.25194, 330.20983, 338.21356]
diff = 0.16
ra = [112.5379659, 110.5349726]
dec = [ -15.9841039, -16.1061281]
med_i = np.median(y_i)
med_r = np.median(y_r)
plt.figure(i_only, figsize=(14.40, 9.00), dpi=100)
if y_r == []:
plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
else:
plt.plot(dates_r, np.asarray(y_r), 'g-', label = 'r_s')
plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
plt.rcParams['xtick.major.pad']=10
plt.rcParams['ytick.major.pad']=10
ax = plt.gca()
ax.title.set_y(1.1)
formy = plt.ScalarFormatter()
formy.set_powerlimits((-5, 5))
formy.set_scientific(False)
ax.yaxis.set_major_formatter(formy)
ax.set_ylim(ax.get_ylim()[::-1])
for tick in ax.xaxis.get_major_ticks():
tick.label.set_fontsize(16)
for tick in ax.yaxis.get_major_ticks():
tick.label.set_fontsize(16)
plt.xlabel('Days', fontsize='20', labelpad=20)
plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20)
if y_r == []:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
else:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
leg = plt.gca().get_legend()
ltext = leg.get_texts()
plt.setp(ltext, fontsize='16')
plt.savefig('lc0.png', facecolor='white', bbox_inches='tight')
plt.close(i_only)
[/code]
Best regards,
frix
Am 26.03.2013 um 20:36 schrieb Sterling Smith smit...@fusion.gat.com:
Frix,
It may be useful to post the version and backend you are using to the
list.
import matplotlib
print matplotlib.__version__
print matplotlib.get_backend()
Also, if you can format the code as a simple self-contained example,
that would help others confirm what you are seeing.
-Sterling
On Mar 26, 2013, at 12:01PM, Hackstein wrote:
Hello everyone,
I have two issues with my current projects:
1) I automatically generate plots of several data sets in a for-loop,
all of which have the same shape of x and y values, but some of which have
two of
