Ryan, do you know, if there is any way I can make the padding
dependent on the tick label sizes?
for label in ax2.yaxis.get_ticklabels():
label.set_horizontalalignment('right')
ax2.tick_params(pad=20)
When the numbers are large, then they are glued to the secondary
y-axis. When they are small, then they are hovering far away from it.
On Sat, Feb 14, 2015 at 7:20 PM, Ryan Nelson <rnelsonc...@gmail.com> wrote:
> You're welcome, Tommy. I used gnuplot many years ago, but I've been much
> happier now that I know MPL.
>
> A gnuplot->MPL Rosetta Stone might be a useful blog post for someone. I
> haven't used gnuplot in so long that I don't think I could do this myself.
>
> R
>
> On Sat, Feb 14, 2015 at 12:28 PM, Tommy Carstensen
> <tommy.carsten...@gmail.com> wrote:
>>
>> Whoa, thanks for a great answer Ryan. I can see, why the level of
>> control MPL gives you is a great sales pitch. It's one of the reasons,
>> why I switched from gnuplot after using it for many years and making
>> many cool plots. The MPL learning curve has just been a bit steep,
>> when you are used to plot whatever you want.
>>
>> On Sat, Feb 14, 2015 at 5:06 PM, Ryan Nelson <rnelsonc...@gmail.com>
>> wrote:
>> > Tommy,
>> >
>> > I'll try to answer your points in order:
>> >
>> > 1) Oops. That should have been "xticks".
>> > import matplotlib.pyplot as plt
>> > plt.plot([1,3,2])
>> > ticks, labels = plt.xticks()
>> > plt.xticks(ticks, horizontalalignment='left')
>> > plt.show()
>> >
>> >
>> > 2) Sorry for the ambiguity. "OO" is short for object-oriented. There are
>> > two
>> > different approaches that people tend to use to make plots (although
>> > they
>> > can be mixed): 1) the "pyplot" way, which uses the pyplot wrapper
>> > functions
>> > and 2) the object-oriented way, which modifies the objects directly.
>> > This is
>> > what you did in your example where you snag the axes objects and operate
>> > on
>> > them directly. The "OO" way is ultimately more powerful, because the
>> > pyplot
>> > wrapper functions override some of your control. For example, because
>> > you
>> > want twin axes, you might not be able to use the pyplot.xticks function
>> > (Others, correct me if I'm wrong.), and you lose some fine control. See
>> > next
>> > example.
>> >
>> > 3) I know it *seems* like the for loop is an "ugly hack". However, you
>> > have
>> > to realize that this ultimately gives you a TON of control. Let's say,
>> > for
>> > example, that you wanted only one of the labels to be large and red to
>> > highlight a certain value. Using a modified version of your example, we
>> > get
>> > this:
>> > ______________
>> > import matplotlib.pyplot as plt
>> > fig = plt.figure()
>> > ax1 = fig.add_subplot(111)
>> > ax2 = ax1.twinx()
>> > labels = ax2.yaxis.get_ticklabels()
>> > [l.set_horizontalalignment('right') for l in labels]
>> > labels[2].set_color('red')
>> > labels[2].set_fontsize(20)
>> > ax2.tick_params(pad=20)
>> > ax1.plot(list(range(11)))
>> > ax1.set_xlim(0,10)
>> > ax2.set_ylim(0,10)
>> > plt.show()
>> > ____________
>> > I personally think that this level of control is very, very cool and one
>> > of
>> > the big selling points for MPL in general.
>> >
>> > Okay. If you want to set the alignment all the time, there might be a
>> > way to
>> > control this with matplotlibrc or style sheets:
>> > http://matplotlib.org/users/customizing.html
>> > http://matplotlib.org/users/style_sheets.html
>> > However, I'm not the biggest fan of changing matplotlibrc. Mostly
>> > because if
>> > others try to reproduce your plots, they also need your rc file as well.
>> > I
>> > haven't used style sheets yet, but that might be a fix to this issue
>> > (for me
>> > at least).
>> >
>> > Hope that helps.
>> >
>> > Ryan
>> >
>> > On Sat, Feb 14, 2015 at 10:30 AM, Tommy Carstensen
>> > <tommy.carsten...@gmail.com> wrote:
>> >>
>> >> Hi Ryan,
>> >>
>> >> Thanks for your answer. Sorry for not replying sooner. I fell asleep
>> >> shortly after sending my question.
>> >>
>> >> What is "the OO way"?
>> >>
>> >> Your 1st solution gives:
>> >> AttributeError: 'module' object has no attribute 'ticks'
>> >>
>> >> I modified your 2nd solution to accommodate my wishes and needs:
>> >> import matplotlib.pyplot as plt
>> >> fig = plt.figure()
>> >> ax1 = fig.add_subplot(111)
>> >> ax2 = ax1.twinx()
>> >> for label in ax2.yaxis.get_ticklabels():
>> >> label.set_horizontalalignment('right')
>> >> ax2.tick_params(pad=20)
>> >> ax1.plot(list(range(11)))
>> >> ax1.set_xlim(0,10)
>> >> ax2.set_ylim(0,10)
>> >> plt.show()
>> >>
>> >> It seems like an awful hack with that for loop, but it works. I'm not
>> >> sure, why the secondary right hand side axis don't have right aligned
>> >> labels by default. That would make a lot of sense. It would be great,
>> >> if I could set the horizontal alignment without having to use a for
>> >> loop. It's just plain ugly. In gnuplot it's as simple as this:
>> >> set ytics right
>> >>
>> >> Thanks for your help and providing me with a solution.
>> >>
>> >> Tommy
>> >>
>> >> On Sat, Feb 14, 2015 at 1:31 AM, Ryan Nelson <rnelsonc...@gmail.com>
>> >> wrote:
>> >> > Tommy,
>> >> >
>> >> > You are probably looking for pyplot.xticks. For example, you might
>> >> > want
>> >> > something along these lines:
>> >> >
>> >> > import matplotlib.pyplot as plt
>> >> > plt.plot([1,3,2])
>> >> > # We'll do this to get the autogenerated positions
>> >> > ticks, labels = plt.xticks()
>> >> > plt.ticks(ticks, horizontalalignment='left')
>> >> > plt.show()
>> >> >
>> >> > Or if your using the OO way:
>> >> >
>> >> > import matplotlib.pyplot as plt
>> >> > fig = plt.figure()
>> >> > ax = fig.add_subplot(111)
>> >> > ax.plot([1,3,2])
>> >> > labels = ax.get_xticklabels()
>> >> > [l.set_horizontalalignment('left') for l in labels]
>> >> > plt.show()
>> >> >
>> >> > I think that's the best way. Hope it helps.
>> >> >
>> >> > Ryan
>> >> >
>> >> >
>> >> >
>> >> > On Fri, Feb 13, 2015 at 7:29 PM, Tommy Carstensen
>> >> > <tommy.carsten...@gmail.com> wrote:
>> >> >>
>> >> >> How can I set the horizontal alignment of a secondary y-axis to
>> >> >> 'right'? Currently the numbers are glued to the axis. I want the
>> >> >> axis
>> >> >> values to be right aligned integers. Thanks.
>> >> >>
>> >> >>
>> >> >>
>> >> >>
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>> >>
>> >>
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