align title of subplot with ylabel

Dear all,

I'm struggling with the following problem plotting my data:

I have a figure with two panels next to each other, which I want to
label 'A' and 'B'. I want to left-justify my panel labels, but not to
the box that contains the plot, but to the y-axis label. I played around
with 'text()' and 'title()', but did not find a good solution except for
giving the coordinates manually to 'text()'. This would be very
inconvenient though, because I have many different plots on different
scales.
Here is what I tried:

###Code
import scipy
import matplotlib.pyplot as plt

fig = plt.figure()
ax = fig.add_subplot(121)
plt.plot(scipy.sin(scipy.arange(1,100, 0.001)))
plt.xlabel('xlabel')
plt.ylabel("ylabel")
plt.text(0,1,"A", fontsize=14, transform=ax.transAxes)

ax = fig.add_subplot(122)
plt.plot(scipy.cos(scipy.arange(1,100, 0.001)))
plt.text(0,1,"B", fontsize=14, transform=ax.transAxes)
plt.xlabel('xlabel')
###End Code

So the texts 'A' and 'B' should be a little bit higher and more to the
left. The 'A' I want to align with the y-axis label of the left plot,
the 'B' with the values of the y-axis of the right plot.

I hope my question is clear, I will appreciate any help!

Thanks in advance,

Hannes

I haven't thought through the solution completely, but my intuition
says that this might be helpful:

http://matplotlib.sourceforge.net/examples/pylab_examples/anchored_artists.html
http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#anchoredartists

These examples show ways of anchoring artists (like Text) to certain
locations. It's probably your best bet for getting what you want.

Ryan

···

On Mon, May 17, 2010 at 10:08 AM, hettling <hettling@...3062...> wrote:

Dear all,

I'm struggling with the following problem plotting my data:

I have a figure with two panels next to each other, which I want to
label 'A' and 'B'. I want to left-justify my panel labels, but not to
the box that contains the plot, but to the y-axis label. I played around
with 'text()' and 'title()', but did not find a good solution except for
giving the coordinates manually to 'text()'. This would be very
inconvenient though, because I have many different plots on different
scales.
Here is what I tried:

###Code
import scipy
import matplotlib.pyplot as plt

fig = plt.figure()
ax = fig.add_subplot(121)
plt.plot(scipy.sin(scipy.arange(1,100, 0.001)))
plt.xlabel('xlabel')
plt.ylabel("ylabel")
plt.text(0,1,"A", fontsize=14, transform=ax.transAxes)

ax = fig.add_subplot(122)
plt.plot(scipy.cos(scipy.arange(1,100, 0.001)))
plt.text(0,1,"B", fontsize=14, transform=ax.transAxes)
plt.xlabel('xlabel')
###End Code

So the texts 'A' and 'B' should be a little bit higher and more to the
left. The 'A' I want to align with the y-axis label of the left plot,
the 'B' with the values of the y-axis of the right plot.

--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

This can be done relatively easily with the current svn version of
matplotlib (r8319).
Below is the modified version of your code.

See

http://matplotlib.sourceforge.net/trunk-docs/users/annotations_guide.html#using-complex-coordinate-with-annotation

for how the annotation works.

While this is certainly possible with the released version, but it
will require you to write a few tens of lines of code. Basically, you
need create a custom Text class that update its position during the
drawing time.

Regards,

-JJ

###Code
import scipy
import matplotlib.pyplot as plt

fig = plt.figure()
ax = fig.add_subplot(121)
plt.plot(scipy.sin(scipy.arange(1,100, 0.001)))
plt.xlabel('xlabel')
yl = plt.ylabel("ylabel")

plt.annotate("A", (0,1.), xycoords=(yl, "axes fraction"),
             xytext=(0, 14), textcoords="offset points",
             fontsize=14)

ax = fig.add_subplot(122)
plt.plot(scipy.cos(scipy.arange(1,100, 0.001)))
plt.xlabel('xlabel')

my_ticklabel = ax.get_yticklabels()[-2]
# Note that there is no guarantee that all ticklabels are drawn.
plt.annotate("B", (0,1.), xycoords=(my_ticklabel, "axes fraction"),
             xytext=(0, 14), textcoords="offset points",
             fontsize=14)

###End Code

···

On Mon, May 17, 2010 at 11:08 AM, hettling <hettling@...3062...> wrote:

Dear all,

I'm struggling with the following problem plotting my data:

I have a figure with two panels next to each other, which I want to
label 'A' and 'B'. I want to left-justify my panel labels, but not to
the box that contains the plot, but to the y-axis label. I played around
with 'text()' and 'title()', but did not find a good solution except for
giving the coordinates manually to 'text()'. This would be very
inconvenient though, because I have many different plots on different
scales.
Here is what I tried:

###Code
import scipy
import matplotlib.pyplot as plt

fig = plt.figure()
ax = fig.add_subplot(121)
plt.plot(scipy.sin(scipy.arange(1,100, 0.001)))
plt.xlabel('xlabel')
plt.ylabel("ylabel")
plt.text(0,1,"A", fontsize=14, transform=ax.transAxes)

ax = fig.add_subplot(122)
plt.plot(scipy.cos(scipy.arange(1,100, 0.001)))
plt.text(0,1,"B", fontsize=14, transform=ax.transAxes)
plt.xlabel('xlabel')
###End Code

So the texts 'A' and 'B' should be a little bit higher and more to the
left. The 'A' I want to align with the y-axis label of the left plot,
the 'B' with the values of the y-axis of the right plot.

I hope my question is clear, I will appreciate any help!

Thanks in advance,

Hannes

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