Mailman 3 May 2020 - Matplotlib-users

subplots and xticklabels
by Kees Serier June 26, 2020

June 26, 2020

Hi, I have been making some graphs with multiple curves with Python 3.7.5 and Matplotlib 3.0.2. Now I want to plot 4 curves in 3 graphs with subplot. This works and the 3 graphs are plotted correctly, including the legends. Only I can't get my X values printed, like I did in my previous graphs with: labels = ax.get_xticklabels() plt.setp(labels, fontsize=6, rotation = 90.) My script is like: ax = plt.axes() name_list = tuple(X) pos_list = np.arange(len(name_list)) ax.xaxis.set_major_locator(ticker.FixedLocator((pos_list))) ax.xaxis.set_major_formatter(ticker.FixedFormatter((name_list))) grid_size = (3,1) fig = plt.figure() plt.subplot2grid(grid_size, (0, 0), rowspan = 1, colspan = 1) plt.plot(pos_list, value_list[0], label = "r/s") plt.plot(pos_list, value_list[1], label = "w/s") plt.title(plt_title) plt.legend(loc = 'lower left', fontsize=6) plt.grid(True) #plt.setp(labels, visible=False) # does not work plt.subplot2grid(grid_size, (1, 0), rowspan = 1, colspan = 1) plt.plot(pos_list, value_list[2], label = "blks/s (kB)") plt.legend(loc = 'lower left', fontsize=6) plt.grid(True) #plt.setp(labels, visible=False) # does not work plt.subplot2grid(grid_size, (2, 0), rowspan = 1, colspan = 1) plt.plot(pos_list, value_list[3], label = "avser (ms)") plt.legend(loc = 'lower left', fontsize=6) labels = ax.get_xticklabels() plt.setp(labels, fontsize=6, rotation = 90.) fig.subplots_adjust(hspace=0) plt.grid(True) plt.show() I have tried a lot of things, but can't get it working. Thank you in advance, Kees

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Third Y axis is like cryptonite to pyplot.
by Andre June 26, 2020

June 26, 2020

I modified https://matplotlib.org/3.2.1/gallery/ticks_and_spines/multiple_yaxis_with_s… to have a fourth data-set: https://gist.github.com/AndKe/c0c999a22a8daebafb62171b671bf131 With the offset of "1.35" par3.spines["right"].set_position(("axes", 1.35)) One can get a glimpse of that, any less, and it will overlap, and more it will be invisible. changing "right" to "left" does nothing. Also, the resulting spines placement does vary with the width of the window. - wasting more space the wider the window gets. -- Sent from: http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html

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Logarithmic scale in 3D surface
by Hedy BOUJELBEN June 26, 2020

June 26, 2020

Hello, I'm mechanical student and i'm using python for a project I don't find the logarithmic scale in python for 3D graphs can you help me please ?

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Cycler License
by Soheil Saifipour June 26, 2020

June 26, 2020

Dear Thomas I'm working for an organisation as a DevOp engineer. Our data-science team use Cycler library: https://pypi.org/project/Cycler/0.10.0/ I would like to know the exact license type for Cycler library: https://github.com/matplotlib/cycler/blob/master/LICENSE Is this a BSD-3 or BSD-2 library? I would appreciate it if you could help me with this. Kind regards, Soheil

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Reminder: June 01 Deadline for the 2020 John Hunter Excellence in Plotting contest!
by Madicken Munk June 1, 2020

June 1, 2020

Dear all, My apologies for repeated in-list and cross-list posts! I'd like to remind everybody that the 2020 John Hunter Excellence in Plotting Contest submission deadline is on June 01 -- only a few days away. We welcome and look forward to your submissions! In memory of John Hunter, we are pleased to announce the John Hunter Excellence in Plotting Contest for 2020. This open competition aims to highlight the importance of data visualization to scientific progress and showcase the capabilities of open source software. Participants are invited to submit scientific plots to be judged by a panel. The winning entries will be announced and displayed at SciPy 2020 or announced in the John Hunter Excellence in Plotting Contest website and youtube channel. John Hunter’s family are graciously sponsoring cash prizes for the winners in the following amounts: - 1st prize: $1000 - 2nd prize: $750 - 3rd prize: $500 - Entries must be submitted by June 1st to the form at https://forms.gle/SrexmkDwiAmDc7ej7 - Winners will be announced at Scipy 2020 or publicly on the John Hunter Excellence in Plotting Contest website and youtube channel - Participants do not need to attend the Scipy conference. - Entries may take the definition of “visualization” rather broadly. Entries may be, for example, a traditional printed plot, an interactive visualization for the web, a dashboard, or an animation. - Source code for the plot must be provided, in the form of Python code and/or a Jupyter notebook, along with a rendering of the plot in a widely used format. The rendering may be, for example, PDF for print, standalone HTML and Javascript for an interactive plot, or MPEG-4 for a video. If the original data can not be shared for reasons of size or licensing, "fake" data may be substituted, along with an image of the plot using real data. - Each entry must include a 300-500 word abstract describing the plot and its importance for a general scientific audience. - Entries will be judged on their clarity, innovation and aesthetics, but most importantly for their effectiveness in communicating a real-world problem. Entrants are encouraged to submit plots that were used during the course of research or work, rather than merely being hypothetical. - SciPy and the John Hunter Excellence in Plotting Contest organizers reserves the right to display any and all entries, whether prize-winning or not, at the conference, use in any materials or on its website, with attribution to the original author(s). - Past entries can be found at https://jhepc.github.io/ - Questions regarding the contest can be sent to jhepc.organizers(a)gmail.com John Hunter Excellence in Plotting Contest Co-Chairs Madicken Munk Nelle Varoquaux

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Blog post on animations using matplotlib
by Tejas Sanap May 25, 2020

May 25, 2020

Hey, folks! I'm writing a blog series on how to make animations using `matplotlib`. It will be a three part series. I have just published the first part in the series on my blog. Here is the link: http://whereistejas.me/ The first part covers the difference between the object-oriented and pyplot interface. It serves as a mild introduction to the figure and axes objects. All comments and criticisms are welcome! Thank you! -- Tejas Sanap (whereistejas on Freenode) http://whereistejas.me

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matplotlib interactive in a shell terminal?
by Raphael Raccuia May 18, 2020

May 18, 2020

Hi, Any chance to use matplotlib in a linux shell terminal? if I make 'python3 my/script.py', it displays the plot but I have no prompt >>>. It works in Idle. That would be my test script: #!/usr/bin/env python3 #otherwise loads a 'ghost': cursor turn to cross, but no window. import matplotlib print(matplotlib.get_backend()) #print TkAgg in the terminal import matplotlib.pyplot as plt plt.ion() plt.plot([1, 2, 3, 4], [1, 4, 2, 3]) plt.show(block=True) #block=True: othewise it close immediately plot and terminal thank you! rph-r

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Error importing matplotlib
by Martin Schimmels May 17, 2020

May 17, 2020

Hi, I wonder what's happening: (OS: OpenSuSE Linux Leap 15.1; Python 3.6.10; matplotlib-2.0.2-py3.6) ================ ~> python Python 3.6.10 (default, Jan 16 2020, 09:12:04) [GCC] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import matplotlib.pyplot as plt Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/lib64/python3.6/site-packages/matplotlib/__init__.py", line 122, in <module> from matplotlib.cbook import is_string_like, mplDeprecation, dedent, get_label ImportError: cannot import name 'is_string_like' ================ Worked 2 weeks ago. Changes on my system: installed a venv, removed it. Greetings Martin

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Problem with MatplotLib embedded in PyQt5
by m.dilorenzo＠nanotechanalysis.com May 7, 2020

May 7, 2020

Hello, I'm using a matplotlib plot embedded into a PyQt5 GUI. After some modification the figure toolbar became grayed (visible but not active) and no action is feasible anymore on the plot during running. In the previous program versions it works, incidentally I guess since the modifications I've made are only on the computational parts of the code. Is there a way to control the activation of these interactive settings (I really need to zoom and rotate 3d graph while running.). I've already tried with setfocus command but no joy (I don't relay understand how the focus is managed .) Any help is welcome. Thank you in advance and best regards. Maurizio Some souce code: widget class promoted inside a QTDesigner UI # ------------------------------------------------------ # -------------------- mplwidget.py -------------------- # ------------------------------------------------------ from PyQt5.QtWidgets import * from matplotlib.backends.backend_qt5agg import FigureCanvas , NavigationToolbar2QT as NavigationToolbar from matplotlib.figure import Figure class MplWidget(QWidget): def __init__(self, parent = None): QWidget.__init__(self, parent) #self.figure = Figure() self.canvas = FigureCanvas(Figure(constrained_layout=True)) self.toolbar = NavigationToolbar(self.canvas, self) vertical_layout = QVBoxLayout() vertical_layout.addWidget(self.toolbar) vertical_layout.addWidget(self.canvas) self.canvas.axesMain = self.canvas.figure.add_subplot(111) self.setLayout(vertical_layout)

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Add disconnected lines to a plot
by EK Esawi May 4, 2020

May 4, 2020

Thank you Jerzy and Juan for the help. I actually managed to get everything working using nan. Thank you for the advice as well. I am well away of the power of Numpy and other major modules. I have been suing R for a few years and now want to switch back to Python and the switch is nooooooooooo fun:) Anyway, than you all EK

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