import cudf import pandas as pd # create cudf dataframe df_cudf = cudf.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]}) # convert to pandas dataframe df_pandas = df_cudf.to_pandas() print(df_pandas)
a b 0 1 4 1 2 5 2 3 6
import cudf import pandas as pd # create cudf dataframe df_cudf = cudf.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6], 'c': [7, 8, 9]}) # convert subset of columns to pandas dataframe df_pandas_subset = df_cudf[['a', 'c']].to_pandas() print(df_pandas_subset)
a c 0 1 7 1 2 8 2 3 9The package library used in these examples is the "cudf" library, which is specifically designed for GPU-accelerated data manipulation using NVIDIA's CUDA platform.