Python, Seaborn: Plotting frequencies with zero-values

I solved the problem by using the solution suggested by @mwaskom in the comments to my question. I.e. to add an 'order' to the countplot with all valid values for year, including those with count equals zero. This is the code that produces the graph:

import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns

rated = pd.DataFrame(data = [2016, 2004, 2007, 2010, 2015, 2016, 2016, 2015,
                             2011, 2010, 2016, 1975, 2011, 2016, 2015, 2016, 
                             1993, 2011, 2013, 2011], columns = ["year"])

dy = sns.countplot(rated.year, color="#53A2BE", order = list(range(rated.year.min(),rated.year.max()+1)))
axes = dy.axes
dy.set(xlabel='Release Year', ylabel = "Count")
dy.spines['top'].set_color('none')
dy.spines['right'].set_color('none')
plt.show()