import pandas as pd import cudf # Create a Pandas DataFrame pdf = pd.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]}) # Convert the Pandas DataFrame to a cuDF DataFrame cdf = cudf.core.DataFrame.from_pandas(pdf) # Print the cuDF DataFrame print(cdf)
import pandas as pd import cudf # Read a large CSV file into a Pandas DataFrame pdf = pd.read_csv('large_file.csv') # Convert the Pandas DataFrame to a cuDF DataFrame cdf = cudf.core.DataFrame.from_pandas(pdf) # Manipulate the cuDF DataFrame using GPU acceleration cdf = cdf.groupby('column').mean() # Write the resulting cuDF DataFrame to a new CSV file cdf.to_csv('output.csv')This example reads in a large CSV file using Pandas, converts it to a cuDF DataFrame using from_pandas, and then manipulates the data using GPU acceleration. Finally, the resulting cuDF DataFrame is written to a new CSV file. The package library used in this example is `cudf`.