Mailman 3 December 2015 - Matplotlib-users

em-dash not correctly displayed in saved pdf when using tex
by Chao-Chin Yang March 15, 2016

March 15, 2016

Hi, I am having issues with producing an em-dash in pdf when using tex. A sample script is as below: #!/usr/bin/env python3 import matplotlib.pyplot as plt import math import numpy as np x = np.linspace(0, 2 * math.pi) y = np.cos(x) plt.plot(x, y) plt.suptitle(r"abc --- def") plt.savefig("test.pdf") plt.show() I have customized rc parameters: backend = “TkAgg” font.family = “serif” text.usetex = True image.cmap = “CMRmap" The plot rendered on screen looks fine. However, there are some weird characters showing up right before the em-dash in the saved pdf, as attached here. I am using Linux Mint 17.3, and uname -a gives Linux Eridanus 3.19.0-32-generic #37~14.04.1-Ubuntu SMP Thu Oct 22 09:41:40 UTC 2015 x86_64 x86_64 x86_64 GNU/Linux I am using python 3.4.3 + matplotlib 1.3.1, the latter of which is kind of old, but still remains the latest in the Ubuntu LTS repository. On the other had, I have installed the texlive-full package, which should include all the tex related packages. My dvipng is 1.14, and my ghostscript is 9.10. I have also tried different backends like Agg or PDF, but it makes no difference. I have tried googling around for similar issues, but had no luck. It would be very much appreciated If anyone had some idea how this comes about. Sincerely, Chao-Chin

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New colormaps : Inferno, Viridis, ...
by Aston630 Jan. 6, 2016

Jan. 6, 2016

Hi, I wanted to try today the new exciting colormaps that come with the 1.5.0 version of Matplotlib. I quickly discovered I could not use them the same as the previous colormaps. Indeed, in the past I used to do: import matplotlib as mpl cmap = mpl.cm.get_cmap("jet", nb_curves) # where cmap is LinearSegmentedColormap and from there get the colors the following way in order to # handle them the way I wanted for a set of curves or points or arrows etc... : colors = cmap(np.arange(nb_curves)) Now with the new colormaps I do the same: import matplotlib as mpl cmap = mpl.cm.get_cmap("inferno", nb_curves) where cmap is now a ListedColormap and I cannot do what I used to do before. My first question would be : why this difference between old and new colormaps? Then, is there a way I could get a LinearSegmentedColormap from Inferno, Viridis, etc... ? This is really what I want. Thanks a lot for your time and considering this issue! -- View this message in context: http://matplotlib.1069221.n5.nabble.com/New-colormaps-Inferno-Viridis-tp465… Sent from the matplotlib - users mailing list archive at Nabble.com.

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Question re: installing basemap in ipython
by BK Linen Jan. 5, 2016

Jan. 5, 2016

Hi, I would like to install basemap to use with ipython to map lat,long points on a map. I have downloaded the following basemap master folder ( https://github.com/matplotlib/basemap) and issued the install command, !python setup.py install, in ipython while the working directory was set to the main basemap folder. However, I get an error which appears to be related to a missing file associated with visual studio: "error: Unable to find vcvarsall.bat" To my knowledge, visual studio has not been installed on this machine. I'm wondering if I need to install visual studio in order to install basemap for python or if there is a work around. If you could point me in the right direction, I would greatly appreciate it. Many thanks in advance.

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table border line color
by Raoul Collenteur Dec. 23, 2015

Dec. 23, 2015

Hello, I have been looking around for an answer to this question, but I have not come around anything yet. the matplotlib table feature works fine, but I need some help with the details. I want to change the border color of the table, but can’t figure out how to do this. My code looks like this: ax5 = plt.subplot() ax5.xaxis.set_visible(False) ax5.yaxis.set_visible(False) text = 'Example' colLabels='B' ytable = ax5.table(cellText=text, colLabels=colLabels, loc='center') ytable.scale(1,0.6) Anyone knows how to change the border color of the table (cells)? Cheers, Raoul

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matplotlib.tests in mpl 1.5 conda builds
by Fabien Dec. 22, 2015

Dec. 22, 2015

Hi, I am using matplotlib's testing framework for my own project (mostly the image_comparison decorator). With the latest 1.5 builds on conda (not the pip install and not with 1.4.3), I get the following error when running: >>> from matplotlib.testing.decorators import image_comparison Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/mowglie/.bin/conda/envs/oggm/lib/python3.4/site-packages/matplotlib/testing/decorators.py", line 19, in <module> import matplotlib.tests ImportError: No module named 'matplotlib.tests' Any idea on why this happens? Thanks! Fabien

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Creating side by side graphs with different scales
by Alexander Lindsay Dec. 21, 2015

Dec. 21, 2015

Hi all, Attached is a figure showing what I hope to achieve. I have two domains that are connected but which have dramatically different scaling on either side of their interface. I would like the x axis to be in micrometers on one side of the interface and nanometers on the other side. I also want to be able to use a different y-axis on both sides (e.g. range 0 - 1e19 on one side and and range 0 - 1e23 on the other side). Yet I would like to juxtapose the two plots together as shown in the attached figure. Is this possible with matplotlib? If so, what's the best way to go about doing this? Alex

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Possible gallery code.
by JP Dec. 19, 2015

Dec. 19, 2015

The first example, three_by_three.py, is an example of the complete bipartite graph of K3,3 minimally connected using a bezier curve to connect the 3rd node. The second example, ten_by_ten.py, is a graph of a minimally connected K10,10 graph as conjectured by Zarankiewicz.

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truetype font is missing table
by Neal Becker Dec. 17, 2015

Dec. 17, 2015

I reported this before, but now have new info. This is matplotlib-1.5.0 on fedora 23. Now I have installed anaconda, and am trying to use it. Unfortunately, although anaconda has it's own version of stix, it seems mpl is still preferring the fedora versions which seem to cause this problem. I believe it's because fedora uses otf fonts - anaconda has ttf fonts that might work. How can I tell mpl to prefer the anaconda ones? ... [finds fedora versions] findfont: Matching :family=stix:style=normal:variant=normal:weight=400:stretch=normal:size=medium to STIX ('/usr/share/fonts/stix/STIX-Regular.otf') with score of 0.000000 ... [finds anaconda versions] findfont: Matching :family=STIXNonUnicode:style=normal:variant=normal:weight=700:stretch=normal:size=12.0 to STIXNonUnicode ('/home/nbecker/.local/lib/python3.4/site- packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf') with score of 0.000000 findfont: Matching :family=STIXGeneral:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0 to STIXGeneral ('/home/nbecker/.local/lib/python3.4/site- packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf') with score of 0.000000 ... [seems to pick fedora version] Assigning font /b'F1' = '/usr/share/fonts/stix/STIX-Regular.otf' findfont: Matching :family=stix:style=normal:variant=normal:weight=400:stretch=normal:size=large to STIX ('/usr/share/fonts/stix/STIX-Regular.otf') with score of 0.000000 Embedding font /usr/share/fonts/stix/STIX-Regular.otf ... Embedding font /usr/share/fonts/stix/STIX-Regular.otf Writing TrueType font Traceback (most recent call last): File "linear_awgn_ascma_vs_scma.py", line 28, in <module> plt.savefig ('test.pdf') File "/home/nbecker/anaconda3/lib/python3.5/site- packages/matplotlib/pyplot.py", line 688, in savefig res = fig.savefig(*args, **kwargs) File "/home/nbecker/anaconda3/lib/python3.5/site- packages/matplotlib/figure.py", line 1539, in savefig self.canvas.print_figure(*args, **kwargs) File "/home/nbecker/anaconda3/lib/python3.5/site- packages/matplotlib/backends/backend_qt5agg.py", line 196, in print_figure FigureCanvasAgg.print_figure(self, *args, **kwargs) File "/home/nbecker/anaconda3/lib/python3.5/site- packages/matplotlib/backend_bases.py", line 2230, in print_figure **kwargs) File "/home/nbecker/anaconda3/lib/python3.5/site- packages/matplotlib/backends/backend_pdf.py", line 2542, in print_pdf file.close() File "/home/nbecker/anaconda3/lib/python3.5/site- packages/matplotlib/backends/backend_pdf.py", line 547, in close self.writeFonts() File "/home/nbecker/anaconda3/lib/python3.5/site- packages/matplotlib/backends/backend_pdf.py", line 650, in writeFonts fonts[Fx] = self.embedTTF(realpath, chars[1]) File "/home/nbecker/anaconda3/lib/python3.5/site- packages/matplotlib/backends/backend_pdf.py", line 1125, in embedTTF return embedTTFType3(font, characters, descriptor) File "/home/nbecker/anaconda3/lib/python3.5/site- packages/matplotlib/backends/backend_pdf.py", line 911, in embedTTFType3 filename.encode(sys.getfilesystemencoding()), glyph_ids) RuntimeError: TrueType font is missing table

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SpanSelector span_stays does not work for me
by Edward Richards Dec. 14, 2015

Dec. 14, 2015

I sent the original message to the source forge mailing list. Woops. Thanks for the response anyways. The span stays highlighted when I set useblit=False. The performance hit isn't too bad, and I will stay with this option for the moment. *** Response *** Have you tried setting "useblit=False"? If that works, I wonder if we accidentally broke something in the recent widget interactivity work... Ben Root *** Original Message *** I am selecting a region of a color plot with span selector, and I would like the selected region to stay highlighted. I found the span_stays flag, but the selection rectangle still disappears after I release the mouse. Any help is appreciated. Thanks, Ned My backend is 'TkAgg' I am running the script from python3.4 at the command line, my version is: Python 3.4.3 (default, Jun 19 2015, 05:46:30) [GCC 4.8.3 20140911 (Red Hat 4.8.3-9)] on linux Type "help", "copyright", "credits" or "license" for more information. print(matplotlib.__version__) 1.5.0 code example: import numpy as np import matplotlib.pyplot as plt from matplotlib.widgets import SpanSelector test_data = np.random.randn(1000, 1000) fig, ax = plt.subplots() ax.imshow(test_data) def selection(x1, x2): """This function isn't the point""" pass span = SpanSelector(ax, selection, 'horizontal', useblit=True, rectprops=dict(alpha=0.5, facecolor='red'), span_stays=True) plt.show()

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about code suggestion
by Ekrem _ Dec. 14, 2015

Dec. 14, 2015

Hi.This question that about rotation of Radial Based Function Interpolation Plot.I have run my program but axis rotation is necessary.What is your rotation code suggestion as easy? [cid:c8724f77-9099-4573-92c8-e6e44fad5054]

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