Plotting on a large number of facets

I want to make a plot similar to the one that appears on the seaborn page: https://seaborn.pydata.org/examples/many_facets.html.

index state_name totalprod
0 28 North Dakota 475085000.0
1 3 California 347535000.0
2 34 South Dakota 266141000.0
3 5 Florida 247048000.0
4 21 Montana 156562000.0


To see the variation during the period in a graph initially, and then get the percentages. I'm trying the following,

grid = sns.FacetGrid(df_bystate, col="state_name", palette="tab20c", col_wrap=4)
grid.map(plt.axhline, y=0, ls=":")
grid.map(plt.plot, [("year", "totalprod")], marker="o")
grid.set(xticks=np.arange(5), yticks=[-5, 5], xlim=(-10, 10), ylim=(-5.5, 5.5))


I get the following error:

ValueError: Buffer has wrong number of dimensions (expected 1, got 3)


But the graphics are not generated with the data that supposed. I'm new to this and I do not know what I'm doing wrong, so I ask for your patience.

Thanks!!

data

Tidy ("long-form") dataframe where each column is a variable and each row is an observation.

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