pairplot seems to miss interpret strings such as '0' and '1' as integers

After casting a panda column from integers to string, pairplot keeps interpreting this column as containing numerical values it seems.

I am currently using: panda: 0.21.1 numpy: 1.13.3 sns 0.8.1 matplotlib version: 2.1.1 matplotlib backend: module://ipykernel.pylab.backend_inline system: sys.version_info(major=2, minor=7, micro=12, releaselevel='final', serial=0)

Example, generate some data: test = pd.DataFrame(np.random.randn(10, 4), columns=['A', 'B', 'C', 'D']) Threshold the first column test['A'] = test['A'].apply(lambda x: 0 if x < 0 else 1)

and cast:

test['A'] = test['A'].astype(str)

Alternatively, this also produces the same error later:

test['A'] = test['A'].apply(str)

Calling pairplot, with the A column _ = sns.pairplot(test, hue="A") results in ValueError: setting an array element with a sequence

Defining and applying a map solves this issue: custom_map = {'0': 'zero', '1': 'one'}

test['A'] = test['A'].map(custom_map)

Full example in a jupyter notebook:

[mwaskom]

And in the meantime you should do

sns.pairplot(test, hue="A", vars=["B", "C", "D"])

[MaozGelbart]

With matplotlib 3.1.0 and seaborn 0.9.0, I get the sample code by @mdiephuis to run and plot without any errors. Also for the example by @mwaskom for ax.hist inconsistencies.