import polars as pl

# Create a sample DataFrame

df.with_columns(pl.col("A").is_in(my_list))

# Define a list of values to check against

values_to_check = [2, 4, 6]

# Use `is_in` to check if the values in column 'A' are in the list

result = df.select(df['A'].is_in(values_to_check).alias('is_in_values'))

# Display the result

print(result)

shape: (5, 1)

┌───────┐

│ A     │

│ ---   │

│ bool  │

╞═══════╡

│ true  │

│ false │

│ false │

│ null  │

│ true  │

└───────┘

# Use `is_in` to check if the values in column 'B' are in the list

result = df.select(df['B'].is_in(['foo', 'qux', 'corge']).alias('is_in_values'))

# Display the result

print(result)

shape: (5, 1)

┌─────────────┐

│ is_in_values│

│ ---         │

│ true        │

│ false       │

│ false       │

│ true        │

│ false       │

└─────────────┘