I'm not sure why there are no default sensitive ticks and values, for example, on the y axis. In any case, you can do something like the following:
import seaborn as sns import matplotlib.pyplot as plt import matplotlib.ticker as ticker titanic = sns.load_dataset('titanic') sns.factorplot(x='age',y='fare',hue='survived',col='sex',data=titanic,kind='strip') ax = plt.gca() ax.xaxis.set_major_formatter(ticker.FormatStrFormatter('%d')) ax.xaxis.set_major_locator(ticker.MultipleLocator(base=20)) plt.show()
Result:

source share