Having trouble setting the X-Ticks for a data set I am working with.

[deanhystad]

My guess is that Date of Census in your homelessness_data is not a datetime or date object. I read your data like this:

import pandas as pd

data = pd.read_csv("census.csv")
print(data.dtypes)

Output:
Date of Census                       object
Total Individuals in Shelter          int64
Total Single Adults in Shelter        int64
Families with Children in Shelter     int64
Adult Families in Shelter             int64
dtype: object

Notice that Date of Census is an "object", which is a string. You need Date of Census to be a date, then seaborn/matplotlib can create ticks that are reasonable in count and distribution because it will know what the tics mean.

Compare the plot produced by this code:

import pandas as pd
import matplotlib.pyplot as plt

data = pd.read_csv("census.csv")
data.plot(x="Date of Census", y="Total Individuals in Shelter")
plt.show()

With the plot produced by this code.

import pandas as pd
import matplotlib.pyplot as plt

data = pd.read_csv("census.csv", parse_dates=["Date of Census"])
data.plot(x="Date of Census", y="Total Individuals in Shelter")
plt.show()

Matplotlib usually does a good job making tic marks and labels. When something goes wrong it is usually because you are not providing enough information for matplotlib to make good decisions.

I think this will fix your problem, but if you do want to set labels and the like (which is almost always a bad idea), you do this using the Axis object returned by sns.lineplot()