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Is it possible to show only the top/bottom n groups in asns.countplot()?
Using an example from the seaborn website,
sns.countplot(y="deck", hue="class", data=titanic, palette="Greens_d"); 
Is there any easy (or even relatively straightforward) way of limiting this plot to just 3 decks (groups) instead of displaying all 7 or is this something that would be better accomplished with an sns.bargraph or just plain matplotlib?
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countplot() method is used to Show the counts of observations in each categorical bin using bars. Parameters : This method is accepting the following parameters that are described below: x, y: This parameter take names of variables in data or vector data, optional, Inputs for plotting long-form data.
When you use sns. countplot , Seaborn literally counts the number of observations per category for a categorical variable, and displays the results as a bar chart.
countplot. Show the counts of observations in each categorical bin using bars. A count plot can be thought of as a histogram across a categorical, instead of quantitative, variable.
import seaborn as sns titanic = sns.load_dataset("titanic") sns.countplot(y="deck", hue="class", data=titanic, palette="Greens_d", order=titanic.deck.value_counts().iloc[:3].index) 
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Just adding real example instead of toy dataset. Assuming you have Pandas Data Frame name training_var and you want to display top 10 'Gene' column counts 'order=' bit should look as follows:
sb.countplot(x='Gene',data=training_var,order=pd.value_counts(training_var['Gene']).iloc[:10].index) If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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