

In [1]:

    
%matplotlib inline
from ggplot import *
import pandas as pd

`scale_alpha_identity`

scale_alpha_identity applies the alpha values in your data to your ggplots.



In [3]:

    
ze_alpha = [
    0.2,
    0.3,
    0.4,
    0.9,
    0.8,
    0.65,
    0.43,
    0.55,
    0.34,
    0.65
]
df = pd.DataFrame({
        "x": range(10),
        "y": range(10),
        "ze-alpha": ze_alpha
    })
df



In [4]:

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









    












    Out[4]:





<ggplot: (285185805)>



In [ ]:

	x	y	ze-alpha
0	0	0	0.20
1	1	1	0.30
2	2	2	0.40
3	3	3	0.90
4	4	4	0.80
5	5	5	0.65
6	6	6	0.43
7	7	7	0.55
8	8	8	0.34
9	9	9	0.65