# 8.27:  Use .unique() to see all unique values for a Series.  Apply this method to the .precip
# column to see all values this column may contain.  See if you can identify the field that caused
# the numeric comparison to fail.

import pandas as pd

fname = '../weather_newyork_narrow.csv'

df = pd.read_csv(fname)


print(df.precip.unique())

# Can you see the anomalous value that caused the '<' comparison to fail?  We'll fix this issue
# after we've learned a few more pandas features.

