

In [1]:

    
%matplotlib inline
from ggplot import *
import pandas as pd

`scale_color_identity`

scale_color_identity applies the color values in your data to your ggplots.



In [2]:

    
ze_colors = [
    "blue",
    "red",
    "green",
    "MediumAquaMarine",
    "Peru",
    "Tomato",
    "#f8b195",
    "#ffb6c1",
    "#933835",
    "Bisque"
]
df = pd.DataFrame({
        "x": range(10),
        "y": range(10),
        "ze-color": ze_colors
    })
df









    Out[2]:






  
    
      
      x
      y
      ze-color
    
  
  
    
      0
      0
      0
      blue
    
    
      1
      1
      1
      red
    
    
      2
      2
      2
      green
    
    
      3
      3
      3
      MediumAquaMarine
    
    
      4
      4
      4
      Peru
    
    
      5
      5
      5
      Tomato
    
    
      6
      6
      6
      #f8b195
    
    
      7
      7
      7
      #ffb6c1
    
    
      8
      8
      8
      #933835
    
    
      9
      9
      9
      Bisque



In [3]:

    
ggplot(df, aes(x='x', y='y', color='ze-color')) + \
    geom_point(size=7500) + \
    scale_color_identity()









    












    Out[3]:





<ggplot: (285108485)>



In [ ]:

	x	y	ze-color
0	0	0	blue
1	1	1	red
2	2	2	green
3	3	3	MediumAquaMarine
4	4	4	Peru
5	5	5	Tomato
6	6	6	#f8b195
7	7	7	#ffb6c1
8	8	8	#933835
9	9	9	Bisque