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I want to use the code from this answer, as it does exactly what I want. I paste it here for the completeness of my question: 

out = pd.cut(s, bins=[0, 0.35, 0.7, 1], include_lowest=True)
out_norm = out.value_counts(sort=False, normalize=True).mul(100)
ax = out_norm.plot.bar(rot=0, color="b", figsize=(6,4))
ax.set_xticklabels([c[1:-1].replace(","," to") for c in out.cat.categories])
plt.ylabel("pct")
plt.show()

I get an error pointing at the ax.set_xticklabels line, stating that: 

TypeError: 'pandas._libs.interval.Interval' object is not subscriptable.

I understand this has been changed after pandas version 0.20. How can I modify that line to do the same thing but avoid the error?

Qubix
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1 Answers1

2

You can make the Interval object subscriptable by calling str() on it: 

ax.set_xticklabels([str(c)[1:-1].replace(","," to") for c in out.cat.categories])
mechanical_meat
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