Mailman 3 January 2019 - Matplotlib-users

Labels alignmnet pie chart / matplotlib 2.1.0+
by IK Jan. 30, 2019

Jan. 30, 2019

Hi, I am having a question regarding a pie-chart labels alignment. I'd like to have labels outside the pie-chart and centered to each wedge. According to the documentation page, "labeldistance" parameter enables to place labels outside the pie-chart, and "ha" & "va" parameters supposed to center. However, these two options (ha & va) seems not working on Matplotlib v2.1.0+. 1) With this example (pls see below), you can see that "car" label is not centered properly, it is a bit off the center. import matplotlib.pyplot as plt figure = plt.figure() axes = figure.add_subplot(111) axes.set_aspect(1) # circular pie y = [1,2,3, 4,8,16,18] label = ['car','domino', 'romancical','testing1', 'thisisthelonglabel', 'fffffffffffffffffffffffffffffffffffffffffff', 'as'] wedges, texts = plt.pie(y, radius=1.2, labels=label, labeldistance=1.0, rotatelabels =True, startangle = 10, wedgeprops = {"linewidth": 0.7, "edgecolor": "white"}, textprops = dict(ha="center", va="center")) # doesn't work plt.show() <http://matplotlib.1069221.n5.nabble.com/file/t5207/pic1.png> I added the following lines to force labels to be centered, which works but disabled a "labeldistance" parameter. So all my centered correctly, as I want labels are overlapping with the pie-chart circle now. wedges, texts = plt.pie(y, radius=1.2, labels=label, labeldistance=1.0, rotatelabels =True, startangle = 10, wedgeprops = {"linewidth": 0.7, "edgecolor": "white"}, textprops = dict(va="center")) for t in texts: #t.set_horizontalalignment("center") t.set_verticalalignment("center") plt.show() <http://matplotlib.1069221.n5.nabble.com/file/t5207/pic2.jpg> It seems that "va" option works perfectly for users of Matplotlib v 3.0.2, but it doesnt on v 2.2.2 Could you please advice if there is a solution for keeping "labeldistance" while using .set_horizontalalignment("center") ? P>S: Pls. note the same question is posted on stackoverflow.com: https://stackoverflow.com/questions/54441737/labels-alignmnet-pie-chart-mat… Thanks -- Sent from: http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html

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Boxplot quartiles
by Matthew Bradley Jan. 23, 2019

Jan. 23, 2019

Hi all, I have the following array: x = np.array([1920.5508, 513.4158, 1071.6049, 1412.2137, 1378.3534, 561.4679]) when I put it into a boxplot it shows a boxplot with values that I would get from np.percentile: np.percentile(x,[0,25,50,75,100],interpolation='linear') >>>array([ 513.4158 , 689.00215 , 1224.97915 , 1403.748625, 1920.5508 ]) I would like for the 1st and 3rd quartile to be calculated with a different interpolation and then display these different values in the boxplot, i.e. np.percentile(x,25,interpolation='lower') >>>561.4679 np.percentile(x,75,interpolation='higher') >>>1412.2137 Does anyone know if matplotlib can set which type of interpolation to use when it's calculating the percentiles? Thanks for your help! -- Matthew Bradley

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Re: [Matplotlib-users] Matplotlib-users Digest, Vol 42, Issue 4
by gmroldan＠hudsonenergy.co.uk Jan. 15, 2019

Jan. 15, 2019

The person you are trying to reach is no longer at Just Energy, please redirect your email accordingly.

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Re: [Matplotlib-users] Matplotlib-users Digest, Vol 42, Issue 3
by gmroldan＠hudsonenergy.co.uk Jan. 14, 2019

Jan. 14, 2019

The person you are trying to reach is no longer at Just Energy, please redirect your email accordingly.

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Installation issue
by Jack_Landis Jan. 14, 2019

Jan. 14, 2019

Dear all, I'm trying to install matplotlib on my pc (Windows 10). I got this error: $ python buildall.py Traceback (most recent call last): File "buildall.py", line 58, in <module> main(options) File "buildall.py", line 11, in main utils.build_zlib() File "C:\Users\laj\AppData\Local\Programs\Python\Python37\Lib\site-packages\matplotlib-winbuild\utils.py", line 136, in build_zlib cmd.write(prepare_build_cmd(ZLIB_BUILD_CMD)) File "C:\Users\laj\AppData\Local\Programs\Python\Python37\Lib\site-packages\matplotlib-winbuild\utils.py", line 63, in prepare_build_cmd raise RuntimeError('Microsoft VS {} required'.format('2010' if VS2010 else '2008')) RuntimeError: Microsoft VS 2010 required I already have "Microsoft Visual C++ 2008 redistributable" installed (I have 2008, 2010, 2012, 2013, 2017 installed). What shall I do? Thank you very much! -- Sent from: http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html

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Re: [Matplotlib-users] Matplotlib-users Digest, Vol 42, Issue 1
by gmroldan＠hudsonenergy.co.uk Jan. 10, 2019

Jan. 10, 2019

The person you are trying to reach is no longer at Just Energy, please redirect your email accordingly.

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How do i use a button to switch between two different graphs in matplotlib
by bioquestions Jan. 10, 2019

Jan. 10, 2019

I would like to be able to use a button press within an embedded tkinter matplotlib graph to switch from one graph to another. The code I have written does not replace the first graph with the second graph but just adds the second graph underneath the first graph. How can I get the button press to replace the first graph with the second graph rather than just add the second graph below the first graph? Here is my code: import matplotlib matplotlib.use("TkAgg") import matplotlib.pyplot as plt import numpy as np from tkinter import * from matplotlib.backends.backend_tkagg import ( FigureCanvasTkAgg, NavigationToolbar2Tk) # Implement the default Matplotlib key bindings. from matplotlib.backend_bases import key_press_handler def graph_one(): t = np.arange(0.0, 2.0, 0.01) s = 1 + np.sin(2 * np.pi * t) fig, ax = plt.subplots() ax.plot(t, s) ax.set(xlabel='time (s)', ylabel='voltage (mV)', title='Graph One') #plt.show() return fig def graph_two(): t = np.arange(0.0, 2.0, 0.01) s = 1 + np.cos(2 * np.pi * t) fig, ax = plt.subplots() ax.plot(t, s) ax.set(xlabel='time (s)', ylabel='voltage (mV)', title='Graph Two') #plt.show() return fig class matplotlibSwitchGraphs: def __init__(self, master): self.master = master self.frame = Frame(self.master) self.embed_graph_one() self.frame.pack(expand=YES, fill=BOTH) def embed_graph_one(self): fig = graph_one() canvas = FigureCanvasTkAgg(fig, self.master) canvas.draw() canvas.get_tk_widget().pack(side=TOP, fill=BOTH, expand=1) canvas.mpl_connect("key_press_event", self.on_key_press) toolbar = NavigationToolbar2Tk(canvas, self.master) toolbar.update() canvas.get_tk_widget().pack(side=TOP, fill=BOTH, expand=1) self.button = Button(self.master, text="Quit", command=self._quit) self.button.pack(side=BOTTOM) self.button_vol = Button(self.master, text="Switch Graphs", command=self.switch_graphs) self.button_vol.pack(side=BOTTOM) def embed_graph_two(self): fig = graph_two() canvas = FigureCanvasTkAgg(fig, self.master) canvas.draw() canvas.get_tk_widget().pack(side=TOP, fill=BOTH, expand=1) canvas.mpl_connect("key_press_event", self.on_key_press) toolbar = NavigationToolbar2Tk(canvas, self.master) toolbar.update() canvas.get_tk_widget().pack(side=TOP, fill=BOTH, expand=1) self.button = Button(self.master, text="Quit", command=self._quit) self.button.pack(side=BOTTOM) self.button_switch = Button(self.master, text="Switch Graphs", command=self.switch_graphs) self.button_switch.pack(side=BOTTOM) def on_key_press(event): print("you pressed {}".format(event.key)) key_press_handler(event, canvas, toolbar) def _quit(self): self.master.quit() # stops mainloop def switch_graphs(self): self.embed_graph_two() def main(): root = Tk() matplotlibSwitchGraphs(root) root.mainloop() if __name__ == '__main__': main() Any help would be greatly appreciated. -- Sent from: http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html

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