["python","pandas","dataframe","parquet"]
Pandas : Reading first n rows from parquet file?

I have a parquet file and I want to read first n rows from the file into a pandas data frame. What I tried: df = pd.read_parquet(path= 'filepath', nrows = 10) It did not work and gave me error: TypeError: read_table() got an unexpected keyword argument 'nrows' I did try the skiprows argument as well but that also gave me same error. Alternatively, I can read the complete parquet file and filter the first n rows, but that will require more computations which I want to avoid. Is there any way to achieve it?
The accepted answer is out of date. It is now possible to read only the first few lines of a parquet file into pandas, though it is a bit messy and backend dependent. To read using PyArrow as the backend, follow below: from pyarrow.parquet import ParquetFile import pyarrow as pa pf = ParquetFile('file_name.pq') first_ten_rows = next(pf.iter_batches(batch_size = 10)) df = pa.Table.from_batches([first_ten_rows]).to_pandas() Change the line batch_size = 10 to match however many rows you want to read in.