Plotting multiple countplots using seaborn

Question

I have categorical variables in my data set, most of them are binary 0,1 but some are multi-class. I used countplot to plot the distribution.

f, axes = plt.subplots(4,3,figsize=(17,13), sharex=True)
for i, feature in enumerate(cat_var_list):
    sns.countplot(df[feature],ax=axes[i%4, i//4])

cat_var_list has 12 variables.

However I found that the scale is 0,1 and variables that have multi-class outcomes 0,1,2 do not show properly.

For example, the plot looks like this:

However, for the variable Intro Election Status, the plot should look like this:

How can I make the plot show up properly in the multi plot grid format?

Quang Hoang · Accepted Answer · 2020-05-07 21:17:12Z

2

I see your code works as expected with this sample data:

np.random.seed(1)
df = pd.DataFrame(np.random.choice([0,1], (100,11)),
                  columns=list('abcdefABCDE'))
df['F'] = np.random.choice([0,1,2], 100)

cat_var_list = 'abcdefABCDEF'

f, axes = plt.subplots(4,3,figsize=(17,13), sharex=True)
for f,ax in zip(cat_var_list, axes.ravel()):
    sns.countplot(df[f], ax=ax)
    ax.set_title(f)

Output:

answered May 7, 2020 at 21:17

Quang Hoang

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1 Comment

Asteroid098 Over a year ago

I removed sharex=True and it worked, I am still not sure why though.

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