- import polars as pl
- # Read csv1 and csv2
- csv1 = pl.read_csv('csv1.csv')
- csv2 = pl.read_csv('csv2.csv')
- # Specify the column name to check
- column_name = 'column_name' # Replace with the actual column name
- # Extract the column from csv1
- csv1_column = csv1[column_name]
- # Extract the column from csv2
- csv2_column = csv2[column_name]
- # Check if all values in csv1 column are present in csv2 column
- all_present = csv1_column.isin(csv2_column).all()
- # Print the result
- if all_present:
- print("All values in csv1 column are present in csv2 column.")
- else:
- print("Not all values in csv1 column are present in csv2 column.")
[text] Polars
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