To see the variety of values in an individual column of your DataFrame, you can use the name of the DataFrame column (in this case ‘Y’) and place it into a set, then print the values in the set. For example:

# Check the variety of values in the Y column
prop_variety = set(my_dataframe["Y"])
prop_variety

which yields:

{0, 1}

For the case of seeing the variety of values for every column in the DataFrame, I wrote a function that will print each column label followed by the variety of values in each column. You just pass it the name of the DataFrame. For example:

def view_column_variety(df):
    """See the variety of values held in each column."""
    header_list = list(df.columns.values)
    for prop in header_list:
        prop_variety = set(df[prop])
        print(prop)
        print(prop_variety, "\n")

Then call it like so:

view_column_variety(my_dataframe)

Example of output:

layerObject:properties:dir
{'T', 'F', 'B'} 

layerObject:properties:fc
{1, 2, 3, 4, 5, 6} 

layerObject:properties:laneCat
{1, 2, 3} 

layerObject:properties:lanes
{'1', 'None'} 

layerObject:properties:nmc_roadtype
{'6', '1', '5', 'None', '2', '3'} 

layerObject:properties:pc
{'6', '1', 'None', '0', '5', '4', '2', '3', '7', '8'} 

layerObject:properties:roadQuality
{'0', '1', 'None'} 

layerObject:properties:speedCat
{1, 2, 3, 4, 5, 6, 7, 8}