

In [1]:

    
%matplotlib inline
from ggplot import *
import pandas as pd

scale_x_log applies a logarithmic scale to your x-axis. Its parameters are:



In [7]:

    
ggplot(diamonds, aes(x='price', y='carat')) + \
    geom_point() + \
    scale_x_log()









    












    Out[7]:





<ggplot: (292637265)>



In [3]:

    
ggplot(pigeons, aes(x='speed')) + \
    geom_histogram() + \
    scale_x_log(base=2)









    












    Out[3]:





<ggplot: (284496621)>



In [4]:

    
ggplot(diamonds, aes(x='price')) + \
    geom_histogram() + \
    scale_x_log()









    












    Out[4]:





<ggplot: (285426089)>



In [6]:

    
ggplot(diamonds, aes(x='price')) + \
    geom_histogram() + \
    scale_x_log(base=100)









    












    Out[6]:





<ggplot: (285785261)>



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