Yes, you can use Python's conditional formatting syntax to achieve this. Here is an updated code snippet with the format_logic string modified to meet your requirement:

import pandas as pd

def format_cost(x):
    if x < 10:
        return "${:,.2f}".format(x)
    else:
        return "${:,.0f}".format(x)

df = pd.DataFrame([123.4567, 0.4678, 1.6789, 456.7890],
                  index=['foo','bar','baz','quux'],
                  columns=['cost'])

df['cost'] = df['cost'].apply(format_cost)

print(df)

In this code, we define a function format_cost that takes a value x and returns a string with the appropriate format. If x is less than 10, we use the {:,.2f} format specifier to display the value with two decimal places. Otherwise, we use the {:,.0f} format specifier to display the value with no decimal places.

We then apply this function to the 'cost' column of the DataFrame using the apply() method. The resulting DataFrame will display the 'cost' values with two decimal places for values less than 10 and no decimal places for larger values.
spam fails_task lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor helpfulness creativity violence