Pandas DataFrame.write_parquet() and setting the Zstd compression level

I am writing out a compressed Parquet file from DataFrame as following:

result_df.to_parquet("my-data.parquet", compression="zstd")

How can I instruct Pandas on the compression level of zstd coding?

Using pyarrow engine you can send compression_level in kwargs to to_parquet

result_df.to_parquet(path, engine='pyarrow', compression='zstd', compression_level=1)

Test:

import pandas as pd
import pyarrow.parquet as pq

path = 'my-data.parquet'
result_df = pd.DataFrame({'a': range(100000)})

for i in range(10):

    # create the file
    result_df.to_parquet(path, engine='pyarrow', compression='zstd', compression_level=i)

    # get compressed file size
    metadata = pq.ParquetFile(path).metadata.row_group(0).column(0)
    print(f'compression level {i}: {metadata.total_compressed_size}')

Output:

compression level 0: 346166
compression level 1: 309501
compression level 2: 309500
compression level 3: 346166
compression level 4: 355549
compression level 5: 381823
compression level 6: 310104
compression level 7: 310088
compression level 8: 308866
compression level 9: 308866