Mailman 3 December 2016 - Matplotlib-users

Create custom Plot
by A.S. Khangura Jan. 30, 2017

Jan. 30, 2017

I want to create custom plot using Matplotlib. Here is image:https://www.dropbox.com/s/vabbluhkhwflg8k/mat.png Please let me know what kind of approach I should go for to generate such plot? -- Thanks Arshpreet Singh Python Developer Web Development/Data Science/Systems Integration Mobile: (91)987 6458 387 https://www.linkedin.com/in/arsh840 Doing what you like Freedom, Liking what you do is happiness.

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python connect points between different 3d plots
by Maurizio De Pittà Jan. 30, 2017

Jan. 30, 2017

Hi folks, is there a way akin of patches.ConnectionPatch that also work in 3D plots: namely I would like to connect points of different 3D plots. How can I do that? Cheers, M

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About 3 dimensional slices
by 豆腐 Jan. 30, 2017

Jan. 30, 2017

Hello, I want to ask the Matplotlib how to slice the 3D data. for example(matlab)： slice(x,y,z,v,xslice,yslice,zslice)

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From Python to Numpy
by Nicolas P. Rougier Jan. 30, 2017

Jan. 30, 2017

Dear all, I've just put online a (kind of) book on Numpy and more specifically about vectorization methods. It's not yet finished, has not been reviewed and it's a bit rough around the edges. But I think there are some material that can be interesting. I'm specifically happy with the boids example that show a nice combination of numpy and matplotlib strengths. Book is online at: http://www.labri.fr/perso/nrougier/from-python-to-numpy/ Sources are available at: https://github.com/rougier/from-python-to-numpy Comments/questions/fixes/ideas are of course welcome. Nicolas

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Stacked 2D plots with interconnections in Matplotlib
by Maurizio De Pittà Jan. 30, 2017

Jan. 30, 2017

Fedora 20; Python 2.7.5; Matplotlib 1.4.3 (installed by yum/pip) I need to visualize some complex multivariate datasets and the preferred way is to use a modification of parallel axis visualization, using stacked 2D plots, where each plot maps a degree of freedom/model parameter and data points belonging to the same data sets should be interconnected across different plots. I am attaching a conceptual sketch. I put emphasis that each plane should be a plot itself with its own axes with their own scales. More specifically, all plots have the same x-axis, but the y-axis represents something different. Any idea of how to implement it by matplotlib? Cheers, M

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Version issue
by Rohan Bhojannawar Jan. 29, 2017

Jan. 29, 2017

I'm using OpenCV with Ubuntu 16.04 My matplotlib is installed only in python 2.7. What do you suggest I do for me to use the same library with another version of python viz. python 3.5 installed in my system ? My .py files run if properly using matplotlib if I type python2.7 instead of python3 in terminal. Kindly suggest.

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ImportError: cannot import name '_tkagg'
by jcb0026 Jan. 28, 2017

Jan. 28, 2017

Greetings, I'm trying to run a Python script that uses tkinter to create a GUI and matplotlib to display a graph onto the GUI. Our System Administrators installed Python 3.5, tkinter, and matplotlib onto a Redhat Linux 7.2 machine. Within the code of our script, to import all necessary matplotlib functions and modules, we call: from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg from matplotlib.figure import Figure import matplotlib matplotlib.use('TkAgg') However, when the script is ran, this is the result: File "ourScript.py", line 17, in <module> from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg File "/opt/rh/rh-python35/root/usr/lib64/python3.5/site-packages/matplotlib/backends/backend_tkagg.py", line 11, in <module> import matplotlib.backends.tkagg as tkagg File "/opt/rh/rh-python35/root/usr/lib64/python3.5/site-packages/matplotlib/backends/tkagg.py", line 2, in <module> from matplotlib.backends import _tkagg ImportError: cannot import name '_tkagg' After doing some research, it seems that this could be due to matplotlib being installed before tkinter. Is this likely the case? Thanks, James -- View this message in context: http://matplotlib.1069221.n5.nabble.com/ImportError-cannot-import-name-tkag… Sent from the matplotlib - users mailing list archive at Nabble.com.

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How to increase space between labels ( x or Y)
by lara Jan. 28, 2017

Jan. 28, 2017

My y labels are variables ( eg. name1, nam2, nam3,...) How to increase space between name1 and name2 in yaxis since name1 and name2 are overlaping with each other note I have already 25 labels so assigned each 1 space for 25 variables in the yaxis , I dont want to alter anyting in the scale but want to make more space between labels so it wont overlap thanks in advance -- View this message in context: http://matplotlib.1069221.n5.nabble.com/How-to-increase-space-between-label… Sent from the matplotlib - users mailing list archive at Nabble.com.

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Plotting boundaries of segmented data
by rwleo Jan. 28, 2017

Jan. 28, 2017

Hello, I am trying to plot a 2-D array with segmentation data from a fluid flow. The data structure is continuous which means that the segments are connected regions, like in the picture below: <http://matplotlib.1069221.n5.nabble.com/file/n47655/figure.png> I use plt.imshow(seg, cmap="Greys") which returns a black area on a white background. What I would like to achieve instead is to plot only the boundary as a black curve, like when plotting a shape with pylab setting edgecolor=black and facecolor=white. Unfortunately, having the data in matrix format I am not sure whether this can easily be achieved without writing a separate function that detects whether a pixel belongs to the border or the interior. Is there an alternative to the imshow function which does this simply by setting some keywords? Secondly I would like to smoothen the boundary curve which looks quite "rectangular" due to the coarse segmentation algorithm that has been applied to the fluid flow data. Can this be done with interp2d, if the segments are not based on an analytical expression? Many thanks in advance! -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Plotting-boundaries-of-segmented-da… Sent from the matplotlib - users mailing list archive at Nabble.com.

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How to apply ax.margins to current axes limits?
by Jack Yu Jan. 28, 2017

Jan. 28, 2017

Is there a way to use ax.margins to adjust the axes limits, after the axes limits have already been adjusted using ax.set_ylim? It appears that ax.margins has effect only if ax.set_ylim has not been used. This notebook http://nbviewer.jupyter.org/github/qap/python_examples/blob/matplotlib/matp… describes a situation in which this need may arise. Note: the y-axis is just an example, the same also applies to the x-axis ( ax.set_xlim).

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