Phlya
commented
6 years ago OK, so... Just recently I was trying to do a similar thing and realized how complicated it is.
First, Arabic moves up because of autoalignment, it seems, for some reason... Maybe because if x and y are not specified the algorithm repels texts from their original positions, which is not ideal in this case (but a good default with a regular 2D scatter plot to avoid hiding the data), and this should be made optional. So a solution here would be to add the coordinates from the plot as x and y arguments - this should improve the result anyway, since the texts will be less prone to moving up.
Another complication is that your alignment setting doesn't really do anything, because adjust_text sets them to center by default to avoid preferential movement in a particular direction. But you can set it in the function to the same values as you do now when creating texts, and this will work then.
So this code produces this
d={'Afrikaans': 1.93, 'Amharic': 44.56, 'AncientGreek': 33.06, 'Arabic': 65.9, 'Armenian': 20.16,
'Bambara': 0.13, 'Basque': 20.4, 'Belarusian': 26.28, 'Breton': 53.21, 'Bulgarian': 25.77, 'Buryat': 0.4,
'Cantonese': 4.4, 'Catalan': 19.14, 'Chinese': 0.19, 'Coptic': 11.67, 'Croatian': 24.72, 'Czech': 36.6,
'Danish': 16.38, 'Dutch': 21.72, 'English': 4.9, 'Erzya': 40.76, 'Estonian': 36.45,
'Faroese': 14.19, 'Finnish': 17.88, 'French': 4.67,
'Galician': 17.52, 'German': 21.45, 'Gothic': 34.23, 'Greek': 34.27,
'Hebrew': 28.75, 'Hindi': 1.4, 'Hungarian': 27.91, 'Indonesian': 2.6,
'Irish': 87.93, 'Italian': 22.75, 'Japanese': 0.0, 'Kazakh': 0.89, 'Komi': 19.34, 'Korean': 0.35, 'Kurmanji': 0.61,
'Latin': 27.5, 'Latvian': 24.22, 'Lithuanian': 28.8, 'Maltese': 7.26, 'Marathi': 2.64,
'Naija': 2.29, 'NorthSami': 21.18, 'Norwegian': 19.43, 'OldChurchSlavonic': 37.51, 'OldFrench': 20.14,
'Persian': 0.99, 'Polish': 30.55, 'Portuguese': 12.84, 'Romanian': 29.0, 'Russian': 29.15,
'Sanskrit': 20.09, 'Serbian': 24.1, 'Slovak': 33.18, 'Slovenian': 31.72, 'Spanish': 19.09, 'Swedish': 18.84, 'SwedishSign': 19.23,
'Tagalog': 98.18, 'Tamil': 2.95, 'Telugu': 0.85, 'Thai': 0.06, 'Turkish': 6.38,
'Ukrainian': 26.38, 'UpperSorbian': 22.03, 'Urdu': 0.74, 'Uyghur': 3.58, 'Vietnamese': 1.78}
df = pd.Series(d)
fig, aa = plt.subplots(figsize=(10, 2.5))
aa.axes.get_yaxis().set_visible(False)
plt.ylim(-2,0.2)
plt.xlim(-2,102)
aa.scatter( df, [0 for _ in df], alpha=0.5, edgecolors='none')
aa.spines['left'].set_visible(False)
aa.spines['right'].set_visible(False)
aa.spines['bottom'].set_visible(False)
aa.xaxis.set_label_position('top')
aa.xaxis.set_ticks_position('top')
plt.tight_layout()
texts=[]
for label, x in zip(df.index, df):
texts+=[aa.text(x,-.1,label, fontsize=8, rotation=90)]
adjust_text(texts,
df, [0 for _ in df], ha='center', va='top',
autoalign='', only_move={'points':'y', 'text':'y', 'objects':'y'},
)
plt.show()
Still not ideal, but at least there is very few labels that moved up. The problem is with the dense regions where the texts just don't fit in the axes. Also, if you look closely, you can see that there is loads of space between them and which makes a lot of overlaps that happen unnecessary, That is because by default the algorithm by default expands the texts by 20% to avoid them being right next to each other for better readability - but in this difficult case it might be better to not do this. Also, we can reduce the repelling force for them, this usually improves alignment by adjusting positions slower and more carefully. So this code gives this:
adjust_text(texts,
df, [0 for _ in df], ha='center', va='top', expand_text=(1, 1), force_text=(0, 0.1),
autoalign='', only_move={'points':'y', 'text':'y', 'objects':'y'})
plt.show()
Clearly, there is just not enough space on the plot to fit all the labels... But that is not the only explanation why it doesn't make a perfect figure with no overlaps - even if you make the figure bigger in y it doesn't help! That's because of a couple of issues I recently noticed, including reported here, about the determination of when to stop the process. I have just fixed some stuff and pushed it here, so if you update your adjustText from GitHub and increase the vertical size of your figure (to 7 inches), everything will work perfectly even without adjusting expansion or force! I kept the expand_text=(1, 1) to make the whole thing a little more compact, but it works with the default too.
adjust_text(texts, df, [0 for _ in df],
ha='center', va='top', expand_text=(1, 1),
autoalign='', only_move={'points':'y', 'text':'y'})
So thanks for stimulating me to fix this, and let me know if you have more questions! Also, since it's such a good example, do you mind if I add it to the Examples notebook here?
kimgerdes
but the Thai and others stick out (or rather, the others moved down).
What I did is get the new adjustText.py script, changed the fig creation line to
into
I have the impression that the bounding rectangle is used and it's probably hard to solve that. But maybe not :-) so I dare to ask whether you have an idea. If not i'm completely happy with the current state.
I also have another issue I'll post on bidimensional scatters...
Is it possible to stop the adjust_text function from moving labels even if there is no other label overlapping with them? Here is my plot that i'd love to unclutter:
What i get is that:
Why is the "Arabic" label moving?
Here is the code to reproduce what I'm dong (wrong):
What I'd like is that the labels move only down, and only if they are overlapping. Is there a way to do that? I've experimented with quite a few parameters (expand_align, force_text, force_points, ...) for a few hours, and I don't seem to get the gist of these parameters.
Here's approximately what I'd like to obtain: Labels moved down if necessary, overlapping only if not enough room is available for all the labels:
(The data is the percentage of subjects to the right of their verb, if anyone cares :) )