Seaborn line plot

To generate something like this:

Code:

# height is actual sub-plot height and aspect determine how wide each figure is
# sharey is set to False so each sub- plot has its own y-lim
g = sns.FacetGrid(test, row='cities',height=3, aspect=6, sharex=False, sharey=False)
# If not set xticks, all dates will be together and hard to see. So reset xticks and labels
g.set(xticks=np.arange(1,365,30), xticklabels=np.arange(1,365,30))

# Map lineplot to each facet
g.map(sns.lineplot, 'event_day_of_year', 'numbers', 'hue').set_titles("{row_name}")

# Add legend
g.add_legend()

# If not adjust, figure title will be overlapping with first sub-plot title
plt.subplots_adjust(top=0.9)
g.fig.suptitle('THIS IS FIGURE TITLE')

# Add vertical reference line
axes = g.fig.axes
for ax in axes:
    ax.axvline(237,color='r')
plt.show()

Things learned

When plotting, always make sure the columns are numerical.
Manually sort x-axis numbers to make sure they will appear in the order you want.
Sort hue column so the color for each element stays the same
For hue and legend, I have [2017, 2018]. However when they are integer, seaborn will somehow generate 2016 in the legend. So I have to convert int to str. When converting, had to use
```
df["hue"] = ["$%s$" % x for x in df["hue"]]
```
where the $…$ is a hack (with the side-effect of rendering the number in LaTeX) that prevents:
```
AttributeError: 'str' object has no attribute 'view'
```
Other schemes such as “= %s” % x also work. (Reference)

Seaborn line plot

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