I have a clustered dataset of articles, each article belonging to a certain cluster. I've run sentiment analysis on the whole dataset and I want to make plot for the sentiments in each cluster. My problem is that in cluster 1 for example the fear sentiment is in pink colour, anticipation is in blue etc but in the next cluster fear may be green and anticipation may be pink.
I know that i can force seaborn to use the same colour for every variable in the dataframes and all the plots will turn out blue or red or whatever.
What I want to do is to set a certain colour for every emotion and keep it during the whole iterations of plots.
My code:
for c in range (0,7):
df=corona_data[corona_data['cluster']==c]
print("\nCluster: ",c)
print("\n")
ax = sns.countplot(x= 'emotion',data=df)
plt.show()
