Ryan, I stopped using gnuplot, because it requires the data to be formatted in very specific ways :) I remember having functions just to format the input data correctly for heat plots and the wrapper scripts I wrote were quite convoluted. Matplotlib has its advantages for sure. Otherwise I would not have switched. I'm just frustrated with being back at the start line. Thanks for your help and bearing with my impatience.
On Sat, Feb 14, 2015 at 7:42 PM, Ryan Nelson <rnelsonc...@gmail.com> wrote: > Yep. I see your problem. My function and Eric's object should help here. > > A sore-spot with many folks coming over to Matplotlib from "X" is the fact > that MPL does not calculate the size of text until the plot is generated. > That means it doesn't always get text positioning, etc. exactly correct. > That takes a little getting used to, and for me, it is minor. > > Admit it, Gnuplot as it's quirks as well :) I always hated that it wouldn't > cut off some markers at the edge of the screen. For example, with Gnuplot > 4.6rev5 the following > plot x with points ps 7 > Leads to a bunch of markers running over the axes limits. (Maybe there is a > way to fix this now. Many years ago that was not the case.) > > Ryan > > On Sat, Feb 14, 2015 at 2:18 PM, Tommy Carstensen > <tommy.carsten...@gmail.com> wrote: >> >> Ryan, my use case is indeed that I want to avoid overlapping ticks and >> I want to avoid them by not displaying them. Here is a guy with the >> same problem: >> >> http://stackoverflow.com/questions/9422587/overlapping-y-axis-tick-label-and-x-axis-tick-label-in-matplotlib >> >> Here is the problem at the top left of my plot: >> www.tommycarstensen.com/matplotlib.png >> >> I'll just set the ticks manually. Sadly seems like the easiest thing to >> do. >> >> On Sat, Feb 14, 2015 at 7:01 PM, Ryan Nelson <rnelsonc...@gmail.com> >> wrote: >> > Tommy, >> > >> > I'm sorry. I forgot to hit send all *again*. Below is my original >> > message, >> > but the function I wrote is updated because it wasn't exactly >> > correct.... >> > >> > Ah. I was working on something to help out, so I'm just seeing Eric's >> > very >> > elegant solution, which I have yet to try. However, I feel like you >> > might >> > run into some problems if you always drop the first tick. For example, >> > try >> > this plot: >> > ______________ >> > import matplotlib.pyplot as plt >> > from matplotlib.ticker import MultipleLocator >> > import numpy as np >> > xs = np.linspace(2,12,1000) >> > ys = np.sin(xs) >> > n = 5 >> > fig = plt.figure() >> > ax1 = fig.add_subplot(111) >> > ax1.plot(xs, ys) >> > ax1.xaxis.set_major_locator(MultipleLocator(5)) >> > plt.show() >> > _____________ >> > In this case, dropping the first tick will result in only one tick on >> > the >> > screen. >> > >> > What is your use-case? Are you annoyed that the axis labels are >> > overlapping >> > at the far left? If that's the case, here's a little function >> > (trimticks) >> > that I whipped up that might help. It drops the far left or far right >> > label >> > if it is exactly at the edge of the axes. Should work for y axes as >> > well. >> > _____________ >> > def trimticks(ax, n=5): >> > xmin, xmax = ax.get_xlim() >> > if xmin%n == 0: >> > xmin = xmin+n >> > else: >> > xmin = xmin + n - xmin%n >> > >> > if not xmax%n == 0: >> > xmax = xmax + n - xmax%n >> > >> > ticks = np.arange(xmin, xmax, n) >> > ax.set_xticks(ticks) >> > >> > import matplotlib.pyplot as plt >> > from matplotlib.ticker import MultipleLocator >> > import numpy as np >> > xs = np.linspace(0,20,10000) >> > ys = np.sin(xs) >> > fig = plt.figure() >> > ax1 = fig.add_subplot(111) >> > ax1.plot(xs, ys) >> > trimticks(ax1) >> > plt.show() >> > >> > ___________________ >> > >> > >> > On Sat, Feb 14, 2015 at 1:45 PM, Tommy Carstensen >> > <tommy.carsten...@gmail.com> wrote: >> >> >> >> Erik, that doesn't seem to work either. I tried this: >> >> >> >> import matplotlib.pyplot as plt >> >> from matplotlib.ticker import MultipleLocator >> >> class TrimmedMultipleLocator(MultipleLocator): >> >> def tick_values(self, vmin, vmax): >> >> return MultipleLocator.tick_values(self, vmin, vmax)[2:] >> >> fig = plt.figure() >> >> ax1 = fig.add_subplot(111) >> >> ax1.xaxis.set_major_locator(TrimmedMultipleLocator(5)) >> >> #xticks[0].label1.set_visible(False) >> >> #xticks[-1].label1.set_visible(False) >> >> #ax1.set_xticks(ax1.xaxis.get_major_ticks()[1:-1]) >> >> ax1.plot(list(range(21))) >> >> plt.show() >> >> >> >> Here is an example of the use of prune='lower', but it does not allow >> >> one to set the tick step size: >> >> >> >> >> >> http://stackoverflow.com/questions/9422587/overlapping-y-axis-tick-label-and-x-axis-tick-label-in-matplotlib >> >> >> >> I think my best bet is to just set those ticks manually. >> >> >> >> On Sat, Feb 14, 2015 at 6:19 PM, Eric Firing <efir...@hawaii.edu> >> >> wrote: >> >> > On 2015/02/14 7:33 AM, Tommy Carstensen wrote: >> >> >> Thanks again Ryan. That's exactly what I want to achieve; i.e. >> >> >> remove >> >> >> the tick at 0 and only keep 5 and 10. Your solution works, but it's >> >> >> a >> >> >> bit of hack to use magic constants. I could however get those values >> >> >> from the xlim. >> >> >> >> >> >> Eric, I would describe the desired tick placement algorithm as >> >> >> removing the first tick on the axis. It can be achieved like this: >> >> >> ax1.xaxis.set_major_locator(MaxNLocator(prune='lower')) >> >> > >> >> > Aha! The problem is that the MaxNLocator is the only one with the >> >> > prune >> >> > kwarg. It could be added to the MultipleLocator. For now, though, >> >> > you >> >> > can make your own specialized Locator, hardwired to omit the first >> >> > tick, >> >> > like this: >> >> > >> >> > from matplotlib.ticker import MultipleLocator >> >> > >> >> > class TrimmedMultipleLocator(MultipleLocator): >> >> > def tick_values(self, vmin, vmax): >> >> > return MultipleLocator.tick_values(self, vmin, vmax)[1:] >> >> > >> >> > then just use >> >> > >> >> > ax1.xaxis.set_major_locator(TrimmedMultipleLocator(5)) >> >> > >> >> > I haven't tested it--but give it a try. What it is doing is making a >> >> > subclass of MultipleLocator, and altering only the one little bit of >> >> > its >> >> > behavior that you want to modify. Everything else is automatically >> >> > inherited from the base class, MultipleLocator. >> >> > >> >> > Eric >> >> > >> >> > >> >> >> >> >> >> But that then overrides this: >> >> >> ax1.xaxis.set_major_locator(MultipleLocator(5)) >> >> >> >> >> >> On Sat, Feb 14, 2015 at 5:27 PM, Ryan Nelson <rnelsonc...@gmail.com> >> >> >> wrote: >> >> >>> Tommy, (Sorry for the doubleup. I just realized I forgot to hit >> >> >>> reply-all.) >> >> >>> >> >> >>> Do you want to remove the tick at 0 and only have 5,10, etc.? Could >> >> >>> you just >> >> >>> do something like this instead: >> >> >>> >> >> >>> import matplotlib.pyplot as plt >> >> >>> from matplotlib.ticker import MultipleLocator >> >> >>> fig = plt.figure() >> >> >>> ax1 = fig.add_subplot(111) >> >> >>> ax1.set_xticks(range(5,11,5)) >> >> >>> ax1.plot(range(11)) >> >> >>> plt.show() >> >> >>> >> >> >>> Ryan >> >> >>> >> >> >>> >> >> >>> On Sat, Feb 14, 2015 at 10:47 AM, Tommy Carstensen >> >> >>> <tommy.carsten...@gmail.com> wrote: >> >> >>>> >> >> >>>> Thanks for you answer Eric. I had to get some sleep before trying >> >> >>>> out >> >> >>>> things. I currently have the code below, but it does not remove >> >> >>>> the >> >> >>>> zero value tick. It removes the tick at 5 and 10 however. >> >> >>>> >> >> >>>> import matplotlib.pyplot as plt >> >> >>>> from matplotlib.ticker import MultipleLocator >> >> >>>> fig = plt.figure() >> >> >>>> ax1 = fig.add_subplot(111) >> >> >>>> ax1.xaxis.set_major_locator(MultipleLocator(5)) >> >> >>>> xticks = ax1.xaxis.get_major_ticks() >> >> >>>> #xticks[0].label1.set_visible(False) >> >> >>>> #xticks[-1].label1.set_visible(False) >> >> >>>> ax1.set_xticks(ax1.get_xticks()[1:-1]) >> >> >>>> ax1.plot(list(range(11))) >> >> >>>> plt.show() >> >> >>>> >> >> >>>> On Sat, Feb 14, 2015 at 2:01 AM, Eric Firing <efir...@hawaii.edu> >> >> >>>> wrote: >> >> >>>>> On 2015/02/13 3:29 PM, Tommy Carstensen wrote: >> >> >>>>>> Is it possible to combine MultipleLocator and MaxNLocator? One >> >> >>>>>> seems >> >> >>>>>> to erase the effect of the other. >> >> >>>>> >> >> >>>>> They are for different situations. MultipleLocator is for when >> >> >>>>> you >> >> >>>>> know >> >> >>>>> what you want your tick interval to be; MaxNLocator is for when >> >> >>>>> you >> >> >>>>> don't know that, but you do know roughly how many ticks you want, >> >> >>>>> and >> >> >>>>> what sort of numerical intervals are acceptable. >> >> >>>>> >> >> >>>>> Eric >> >> >>>>> >> >> >>>>> >> >> >>>>> >> >> >>>>> >> >> >>>>> >> >> >>>>> ------------------------------------------------------------------------------ >> >> >>>>> Dive into the World of Parallel Programming. The Go Parallel >> >> >>>>> Website, >> >> >>>>> sponsored by Intel and developed in partnership with Slashdot >> >> >>>>> Media, >> >> >>>>> is >> >> >>>>> your >> >> >>>>> hub for all things parallel software development, from weekly >> >> >>>>> thought >> >> >>>>> leadership blogs to news, videos, case studies, tutorials and >> >> >>>>> more. >> >> >>>>> Take >> >> >>>>> a >> >> >>>>> look and join the conversation now. >> >> >>>>> http://goparallel.sourceforge.net/ >> >> >>>>> _______________________________________________ >> >> >>>>> Matplotlib-users mailing list >> >> >>>>> Matplotlib-users@lists.sourceforge.net >> >> >>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> >>>> >> >> >>>> >> >> >>>> >> >> >>>> >> >> >>>> ------------------------------------------------------------------------------ >> >> >>>> Dive into the World of Parallel Programming. The Go Parallel >> >> >>>> Website, >> >> >>>> sponsored by Intel and developed in partnership with Slashdot >> >> >>>> Media, >> >> >>>> is >> >> >>>> your >> >> >>>> hub for all things parallel software development, from weekly >> >> >>>> thought >> >> >>>> leadership blogs to news, videos, case studies, tutorials and >> >> >>>> more. >> >> >>>> Take a >> >> >>>> look and join the conversation now. >> >> >>>> http://goparallel.sourceforge.net/ >> >> >>>> _______________________________________________ >> >> >>>> Matplotlib-users mailing list >> >> >>>> Matplotlib-users@lists.sourceforge.net >> >> >>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> >>> >> >> >>> >> >> >> >> >> >> >> >> >> >> >> >> ------------------------------------------------------------------------------ >> >> >> Dive into the World of Parallel Programming. The Go Parallel >> >> >> Website, >> >> >> sponsored by Intel and developed in partnership with Slashdot Media, >> >> >> is >> >> >> your >> >> >> hub for all things parallel software development, from weekly >> >> >> thought >> >> >> leadership blogs to news, videos, case studies, tutorials and more. >> >> >> Take a >> >> >> look and join the conversation now. >> >> >> http://goparallel.sourceforge.net/ >> >> >> _______________________________________________ >> >> >> Matplotlib-users mailing list >> >> >> Matplotlib-users@lists.sourceforge.net >> >> >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> >> >> >> > >> >> > >> >> > >> >> > >> >> > ------------------------------------------------------------------------------ >> >> > Dive into the World of Parallel Programming. The Go Parallel Website, >> >> > sponsored by Intel and developed in partnership with Slashdot Media, >> >> > is >> >> > your >> >> > hub for all things parallel software development, from weekly thought >> >> > leadership blogs to news, videos, case studies, tutorials and more. >> >> > Take >> >> > a >> >> > look and join the conversation now. >> >> > http://goparallel.sourceforge.net/ >> >> > _______________________________________________ >> >> > Matplotlib-users mailing list >> >> > Matplotlib-users@lists.sourceforge.net >> >> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> >> >> >> >> >> >> ------------------------------------------------------------------------------ >> >> Dive into the World of Parallel Programming. The Go Parallel Website, >> >> sponsored by Intel and developed in partnership with Slashdot Media, is >> >> your >> >> hub for all things parallel software development, from weekly thought >> >> leadership blogs to news, videos, case studies, tutorials and more. >> >> Take a >> >> look and join the conversation now. http://goparallel.sourceforge.net/ >> >> _______________________________________________ >> >> Matplotlib-users mailing list >> >> Matplotlib-users@lists.sourceforge.net >> >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> > >> > >> > >> > >> > ------------------------------------------------------------------------------ >> > Dive into the World of Parallel Programming. The Go Parallel Website, >> > sponsored by Intel and developed in partnership with Slashdot Media, is >> > your >> > hub for all things parallel software development, from weekly thought >> > leadership blogs to news, videos, case studies, tutorials and more. Take >> > a >> > look and join the conversation now. http://goparallel.sourceforge.net/ >> > _______________________________________________ >> > Matplotlib-users mailing list >> > Matplotlib-users@lists.sourceforge.net >> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> > > > > > ------------------------------------------------------------------------------ > Dive into the World of Parallel Programming. The Go Parallel Website, > sponsored by Intel and developed in partnership with Slashdot Media, is your > hub for all things parallel software development, from weekly thought > leadership blogs to news, videos, case studies, tutorials and more. Take a > look and join the conversation now. http://goparallel.sourceforge.net/ > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
