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Fix: duplicate label
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lectures/inequality.md

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@@ -683,7 +683,7 @@ Now we can compare net wealth and labour income.
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mystnb:
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figure:
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caption: Gini coefficients of US net wealth and labour income
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name: gini_wealth_us
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name: gini_wealth_us2
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---
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fig, ax = plt.subplots()
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ax.plot(years, ginis["n_wealth"], marker='o', label="net wealth")
@@ -1058,8 +1058,6 @@ Plot the top shares generated from Lorenz curve and the top shares approximated
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:class: dropdown
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```
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Here is one solution:
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```{code-cell} ipython3

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