[FIXED] How to remove empty bars from catplot

Issue

I have two queries:

1. I want to remove the empty bar from the bar graph (present in the first column).
2. I have to use this graph in a PowerPoint presentation. How can I increase the height of the bar graph such that it fixes the height of the slide? I have tried to increase the height but it is not increasing any further. Is it possible? If not what are other options that I can try?

plt.figure(figsize=(40,20))
    g = sns.catplot(x = 'Subject', y = 'EE Score',data = df , hue = 'Session',col='Grade',sharey = True,sharex = True,
                    hue_order=["2017-18", "2018-19", "2019-20"], kind="bar");
    #plt.legend(bbox_to_anchor=(1, 1), loc=2) 
    g.set(ylim=(0, 100))
    g.set_axis_labels("Subject", "EE Score")
    
    ax = g.facet_axis(0,0)
    for p in ax.patches:
        ax.text(p.get_x() + 0.015, 
                p.get_height() * 1.02, 
                '{0:.1f}'.format(p.get_height()), 
                color='black', rotation='horizontal', size=12)
    ax = g.facet_axis(0,1)
    for p in ax.patches:
        ax.text(p.get_x() + 0.015, 
                p.get_height() * 1.02, 
                '{0:.1f}'.format(p.get_height()), 
                color='black', rotation='horizontal', size=12)
    ax = g.facet_axis(0,2)
    for p in ax.patches:
        ax.text(p.get_x() + 0.015, 
                p.get_height() * 1.02, 
                '{0:.1f}'.format(p.get_height()), 
                color='black', rotation='horizontal', size=12)
    ax = g.facet_axis(0,3)
    for p in ax.patches:
        ax.text(p.get_x() + 0.015, 
                p.get_height() * 1.02, 
                '{0:.1f}'.format(p.get_height()), 
                color='black', rotation='horizontal', size=12)
        
    #g.set_ylabel('')
    plt.savefig('2.png', bbox_inches = 'tight')

Solution

Like @JohanC, I initially thought it was not possible to remove an empty category from a catplot(). However, Michael's comment provides the solution: sharex=False.

Notice however how the colors get shifted between the First and Second, Third class. If you want to have consistent colors, you should pass a color= argument.

titanic = sns.load_dataset('titanic')
# remove one category
titanic.drop(titanic.loc[(titanic['class']=='First')&(titanic['who']=='child')].index, inplace=True)
g = sns.catplot(x="who", y="survived", col="class", data=titanic, kind="bar", ci=None, sharex=False)

Answered By - Diziet Asahi