python - Matplotlib overlapping annotations / text -

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i'm trying stop annotation text overlapping in graphs. method suggested in accepted answer matplotlib overlapping annotations looks extremely promising, bar graphs. i'm having trouble converting "axis" methods on want do, , don't understand how text lines up.

import sys import matplotlib.pyplot plt   # start new plot plt.clf() plt.xlabel("proportional euclidean distance") plt.ylabel("percentage timewindows attended") plt.title("test plot")  = [(0, 1.0, 0.4), (25, 1.0127692669427917, 0.41), (50, 1.016404709797609, 0.41), (75, 1.1043426359673716, 0.42), (100, 1.1610446924342996, 0.44), (125, 1.1685687930691457, 0.43), (150, 1.3486407784550272, 0.45), (250, 1.4013999168008104, 0.45)] together.sort()  x,y,z in together:     plt.annotate(str(x), xy=(y, z), size=8)  eucs = [y (x,y,z) in together] covers = [z (x,y,z) in together]  p1 = plt.plot(eucs,covers,color="black", alpha=0.5)  plt.savefig("test.png")

images (if works) can found here (this code):

image1

and here (more complicated):

image2

i wanted post here solution, small library wrote implement kind of things: https://github.com/phlya/adjusttext example of process (from older version of library - i'm lazy make new one) can seen here: enter image description here

here example image:

import matplotlib.pyplot plt adjusttext import adjust_text import numpy np = [(0, 1.0, 0.4), (25, 1.0127692669427917, 0.41), (50, 1.016404709797609, 0.41), (75, 1.1043426359673716, 0.42), (100, 1.1610446924342996, 0.44), (125, 1.1685687930691457, 0.43), (150, 1.3486407784550272, 0.45), (250, 1.4013999168008104, 0.45)] together.sort()  text = [x (x,y,z) in together] eucs = [y (x,y,z) in together] covers = [z (x,y,z) in together]  p1 = plt.plot(eucs,covers,color="black", alpha=0.5) texts = [] x, y, s in zip(eucs, covers, text):     texts.append(plt.text(x, y, s))  plt.xlabel("proportional euclidean distance") plt.ylabel("percentage timewindows attended") plt.title("test plot") adjust_text(texts, only_move='y', arrowprops=dict(arrowstyle="->", color='r', lw=0.5)) plt.show()

enter image description here

if want perfect figure, can fiddle around little. first, let's make text repel lines - create lots of virtual points along them using scipy.interpolate.interp1d.

we want avoid moving labels along x-axis, because, well, why not illustrative purposes. use parameter only_move={'points':'y', 'text':'y'}. if want move them along x axis in case overlapping text, use move_only={'points':'y', 'text':'xy'}. in beginning function chooses optimal alignment of texts relative original points, want happen along y axis too, hence autoalign='y'. reduce repelling force points avoid text flying far away due our artificial avoidance of lines. together:

from scipy import interpolate p1 = plt.plot(eucs,covers,color="black", alpha=0.5) texts = [] x, y, s in zip(eucs, covers, text):     texts.append(plt.text(x, y, s))  f = interpolate.interp1d(eucs, covers) x = np.arange(min(eucs), max(eucs), 0.0005) y = f(x)      plt.xlabel("proportional euclidean distance") plt.ylabel("percentage timewindows attended") plt.title("test plot") adjust_text(texts, x=x, y=y, autoalign='y',             only_move={'points':'y', 'text':'y'}, force_points=0.15,             arrowprops=dict(arrowstyle="->", color='r', lw=0.5)) plt.show()

enter image description here


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