Output of seaborn's lmplot does not plot a scatterplot and linear regression

Question

first time asking something here on stackoverflow.

I have encountered a problem while using seaborn's lmplot.

my dataset after cleaning it up is simple like this: image of data set

I am trying to create a facetgrid scatter plot that has a linear regression (which is what lmplot is used for), using:

• stationame for col (dtype object)
• year for x axis (dtype integer)
• monthtotal for the y axis (dtype integer)

to look something like this: lmplot example from seaborn

Below is my code and I was expecting a scatterplot + regression that looks like the above example.

ridership_year = ridership_mg.groupby(['stationame', 'year']).monthtotal.sum().reset_index()
sns.lmplot(x = 'year', y = 'monthtotal', col ='stationame', data= ridership_year, col_wrap = 5)

However, the figure output was this: seaborn lmplot image

What can I do to remedy this situation? Thanks in advance for the help!

Answer 1

There is a parameter in lmplot called truncate which restricts the graph boundary to the data. Thanks for the help!

truncate: bool, optional

By default, the regression line is drawn to fill the x axis limits after the scatterplot is drawn. If truncate is True, it will instead by bounded by the data limits.

sns.lmplot(x = 'year', y = 'monthtotal', col = 'stationame',
          data = ridership_year, truncate = True,
          col_wrap = 5)