Matplotlib scatter plot with different text at each data point

Question

I am trying to make a scatter plot and annotate data points with different numbers from a list  So  for example  I want to plot y vs x and annotate with corresponding numbers from n   y    2 56422  3 77284  3 52623  3 51468  3 02199  z    0 15  0 3  0 45  0 6  0 75  n    58  651  393  203  123  ax   fig add subplot 111  ax1 scatter z  y  fmt  o     Any ideas

User · Answer

I would love to add that you can even use arrows /text boxes to annotate the labels. Here is what I mean:

import random
import matplotlib.pyplot as plt


y = [2.56422, 3.77284, 3.52623, 3.51468, 3.02199]
z = [0.15, 0.3, 0.45, 0.6, 0.75]
n = [58, 651, 393, 203, 123]

fig, ax = plt.subplots()
ax.scatter(z, y)

ax.annotate(n[0], (z[0], y[0]), xytext=(z[0]+0.05, y[0]+0.3), 
    arrowprops=dict(facecolor='red', shrink=0.05))

ax.annotate(n[1], (z[1], y[1]), xytext=(z[1]-0.05, y[1]-0.3), 
    arrowprops = dict(  arrowstyle="->",
                        connectionstyle="angle3,angleA=0,angleB=-90"))

ax.annotate(n[2], (z[2], y[2]), xytext=(z[2]-0.05, y[2]-0.3), 
    arrowprops = dict(arrowstyle="wedge,tail_width=0.5", alpha=0.1))

ax.annotate(n[3], (z[3], y[3]), xytext=(z[3]+0.05, y[3]-0.2), 
    arrowprops = dict(arrowstyle="fancy"))

ax.annotate(n[4], (z[4], y[4]), xytext=(z[4]-0.1, y[4]-0.2),
    bbox=dict(boxstyle="round", alpha=0.1), 
    arrowprops = dict(arrowstyle="simple"))

plt.show()

Which will generate the following graph:

User · Answer

This might be useful when you need individually annotate in different time  I mean  not in a single for loop  ax   plt gca   ax annotate  your lable    x y     where x and y are the your target coordinate and type is float int

User · Answer

In case anyone is trying to apply the above solutions to a  scatter   instead of a  subplot        I tried running the following code  y    2 56422  3 77284  3 52623  3 51468  3 02199  z    0 15  0 3  0 45  0 6  0 75  n    58  651  393  203  123   fig  ax   plt scatter z  y   for i  txt in enumerate n       ax annotate txt   z i   y i      But ran into errors stating  cannot unpack non-iterable PathCollection object   with the error specifically pointing at codeline fig  ax   plt scatter z  y   I eventually solved the error using the following code  plt scatter z  y   for i  txt in enumerate n       plt annotate txt   z i   y i      I didn t expect there to be a difference between  scatter   and  subplot   I should have known better

User · Answer

As a one liner using list comprehension and numpy     ax annotate x 0    x 1   x 2    for x in np array  n z y   T   setup is ditto to Rutger s answer

User · Answer

I m not aware of any plotting method which takes arrays or lists but you could use annotate   while iterating over the values in n  y    2 56422  3 77284  3 52623  3 51468  3 02199  z    0 15  0 3  0 45  0 6  0 75  n    58  651  393  203  123   fig  ax   plt subplots   ax scatter z  y   for i  txt in enumerate n       ax annotate txt   z i   y i     There are a lot of formatting options for annotate    see the matplotlib website

User · Answer

You may also use pyplot text  see here   def plot embeddings M reduced  word2Ind  words        quot  quot  quot           Plot in a scatterplot the embeddings of the words specified in the list  quot words quot           Include a label next to each point       quot  quot  quot      for word in words          x  y   M reduced word2Ind word           plt scatter x  y  marker  x   color  red           plt text x  03  y  03  word  fontsize 9      plt show    M reduced plot test   np array   1  1    -1  -1    1  -1    -1  1    0  0    word2Ind plot test     test1   0   test2   1   test3   2   test4   3   test5   4  words     test1    test2    test3    test4    test5   plot embeddings M reduced plot test  word2Ind plot test  words

User · Answer

Python 3 6    coordinates      a  1 2     b  3 4     c  5 6   for x in coordinates  plt annotate x 0    x 1   x 2

User · Answer

In versions earlier than matplotlib 2 0  ax scatter is not necessary to plot text without markers  In version 2 0 you ll need ax scatter to set the proper range and markers for text  y    2 56422  3 77284  3 52623  3 51468  3 02199  z    0 15  0 3  0 45  0 6  0 75  n    58  651  393  203  123   fig  ax   plt subplots    for i  txt in enumerate n       ax annotate txt   z i   y i     And in this link you can find an example in 3d

User · Answer

For limited set of values matplotlib is fine  But when you have lots of values the tooltip starts to overlap over other data points  But with limited space you can t ignore the values  Hence it s better to zoom out or zoom in  Using plotly import plotly express as px df   px data tips    df   px data gapminder   query  quot year  2007 and continent   Americas  quot     fig   px scatter df  x  quot gdpPercap quot   y  quot lifeExp quot   text  quot country quot   log x True  size max 100  color  quot lifeExp quot   fig update traces textposition  top center   fig update layout title text  Life Expectency   title x 0 5  fig show

[python] Matplotlib scatter plot with different text at each data point

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