Plots do not appear when calling seaborn's pairplot on a pandas Dataframe

Question

I have a Dataframe that looks like so

Price   Mileage Age
4250    71000   8
6500    43100   6
26950   10000   3
1295    78000   17
5999    61600   8

This is assigned to dataset. I simply call sns.pairplot(dataset) and I'm left with just a single graph - the distribution of prices across my dataset. I expected a 3x3 grid of plots.

When I import a pre-configured dataset from seaborn I get the expected multiplot pair plot.

I'm new to seaborn so apologies if this is a silly question, but what am I doing wrong? It seems like a simple task.

ah ha! It's - Price int64 Mileage object Age object dtype: object — eddiec, Jan 10 '19 at 16:02
Probably not int, because you may have invalid values in your dataframe. You can either coerce them to NaN, or drop them and convert to int. — cs95, Jan 10 '19 at 16:05

score 1 · Answer 1 · answered Jan 10 '19 at 16:03

From your comment, it seems like you're trying to plot on non-numeric columns. Try coercing them first:

dataset = dataset.apply(lambda x: pd.to_numeric(x, errors='coerce'))
sns.pairplot(dataset)

The errors='coerce' argument will replace non-coercible values (the reason your columns are objects in the first place) to NaN.

Plots do not appear when calling seaborn's pairplot on a pandas Dataframe

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