Setting the position of the `ylabel` in a matplotlib graph
<p>I am trying to recreate the look of figure below using matplotlib (<a href="http://www.treesmapsandtheorems.com/pdfs/TM&amp;Th-4.0-summary.pdf" rel="noreferrer">source</a>).</p>

<p><img src="https://i.imgur.com/isFTgwa.png" alt="Template figure"> </p>

<p>However, I am having issues with the placement of the <code>ylabel</code>. I want it at the top of the <code>y</code>-axis, as it is on the figure. I have tried setting its position with <code>ax.yaxis.set_label_position()</code>, but this only accepts <code>left</code> or <code>right</code> for the y-axis. Is there an option to control the position of the <code>ylabel</code>, or should I  just use <code>ax.text</code> and set the text's position manually? </p>

<p>EDIT: As it turns out, the <code>ax.set_ylabel(position=(x,y))</code> sets the position of the label relative to the graph coordinates. However, because of its horizontal rotation, the label is a little too much to the right, and <code>position(x,y)</code> does not seem to accept negative inputs. Is there a way to move the label a little to the left?</p>

<p>I include the code used to generate the skeleton of the figure here, even though it's rather messy.</p>

<pre><code>import  matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np

mpl.rcParams['text.usetex'] = True
mpl.rcParams['text.latex.preamble'] = [r"\usepackage[charter]{mathdesign}"]
mpl.rcParams['font.family'] = ['serif']
mpl.rcParams['font.size'] = 10

nb_procs   = np.array([1,     2,        4,      12,     24,    48,     96,     192,    384])

def adjust_spines(ax, spines):
    for loc, spine in ax.spines.items():
        if loc in spines:
            spine.set_position(('outward', 10))  # outward by 10 points
            spine.set_smart_bounds(True)
        else:
            spine.set_color('none')  # don't draw spine

    # turn off ticks where there is no spine
    if 'left' in spines:
        ax.yaxis.set_ticks_position('left')
    else:
        # no yaxis ticks
        ax.yaxis.set_ticks([])

    if 'bottom' in spines:
        ax.xaxis.set_ticks_position('bottom')
    else:
        # no xaxis ticks
        ax.xaxis.set_ticks([])

# -- We create the figure.
figPres = plt.figure(figsize=(3,1.75))
axPres  = figPres.add_subplot(111)

# -- We remove any superfluous decoration.
# Remove the axis decorations on the right and on the top.
axPres.spines['top'].set_visible(False)
axPres.spines['right'].set_visible(False)

# Make the remaining spines a light gray.
axPres.spines['bottom'].set_color('gray')
axPres.spines['left'].set_color('gray')

adjust_spines(axPres, ['left', 'bottom'])

# -- Set the x ticks.
axPres.set_xscale('log')
axPres.set_xlim((0.75,500))
axPres.set_xticks((nb_procs))
axPres.set_xticklabels( (r'1', r'2', r'4', r'12', r'24', r'48', r'96', r'192', r'384'), color='gray' )
axPres.xaxis.set_ticks_position('bottom')

for tic in axPres.xaxis.get_major_ticks():
  tic.tick1On = tic.tick2On = False

# -- Set the y ticks.
axPres.set_ylim((0,1))
axPres.set_yticks((0.0,0.5,1.0))
axPres.set_yticklabels((r'0', '', r'1'))
axPres.yaxis.set_ticks_position('left')
axPres.tick_params(axis='y', colors='gray')

#for tac in axPres.yaxis.get_major_ticks():
#  tac.tick1On = tac.tick2On = False
for toc in axPres.xaxis.get_minor_ticks():
  toc.tick1On = toc.tick2On = False

# -- Set the titles of the axes.
axPres.set_ylabel(r"Efficacit\'e", color='gray', rotation='horizontal')
axPres.yaxis.set_label_position('right')
axPres.set_xlabel(r"Nombre de processeurs", color='gray')

plt.show()
</code></pre>