I am using ggplot

the facet_grid function on date

.

p = ggplot(aes(x='meh',weight='mah',fill='type'),data=plot_df) + geom_bar(stat='identity') + facet_grid('date',scales='fixed') + ggtitle(title)

      

        
        
        
      

    

I use the following arguments to edit the legend and axis sizes correctly:

t = theme_gray()
t._rcParams['font.size'] = 30 # Legend font size
t._rcParams['xtick.labelsize'] = 30 # xaxis tick label size
t._rcParams['ytick.labelsize'] = 30 # yaxis tick label size
t._rcParams['axes.labelsize'] = 30 # general label size 

p = p + t

      

        
        
        
      

    

As you can see from the attached image, the correct labels ( date

) are subtle.

Which of the matplotlib arguments controls this label text size? I can see the custom options for matplotlib here , but since facet_grid

is a function ggplot

, I can't see which of these controls this particular label.

Edit

Example input :

import pandas as pd
from ggplot import *

data_df = pd.read_csv("/dir/sample/input/above/tmp.csv")

print data_df.head()

p = ggplot(aes(x='status',weight='duration_proportion',fill='line_name'),data=data_df) + geom_bar(stat='identity') + labs(x="Service status", y="Percentage time") + facet_grid('date',scales='fixed')

t = theme_gray()

t._rcParams['font.size'] = 30 # Legend font size
t._rcParams['xtick.labelsize'] = 30 # xaxis tick label size
t._rcParams['ytick.labelsize'] = 30 # yaxis tick label size
t._rcParams['axes.labelsize'] = 30 

p = p + t

p.save("test.png" ,height=24,width=44)