arrow_dataset = pyarrow.parquet.ParquetDataset('path/myfile.parquet') arrow_table = arrow_dataset.read() pandas_df = arrow_table.to_pandas() 另一种方法是分别读取单独的片段,然后将它们连接起来,正如这个答案所建议的那样: Read multiple parquet files in a folder and write to single csv file us...
Theread_parquetfunction returns a DataFrame object, which contains the data read from the file. How to Read Parquet Files with Pandas You can read a Parquet file using theread_parquetfunction by passing the parquet file to the function like this: import pandas as pd df = pd.read_parquet('...
Help on function read_parquet in module pandas.io.parquet:read_parquet(path, engine: 'str' = 'auto', columns=None, storage_options: 'StorageOptions' = None, use_nullable_dtypes: 'bool' = False, **kwargs)Load a parquet object from the file path, returning a DataFrame.Parameters---path ...
)->xd.DataFrame:data_path=data_folder+"/lineitem"df=xd.read_parquet(data_path)df["L_SHIPDATE...
import polars as pl import time # 读取 CSV 文件 start = time.time() df_pl_gpu = pl.read_...
Let's run the same query on the large dataset with Dask. The syntax for loading multiple files into a Dask DataFrame is more elegant. import dask import dask.dataframe as dd from dask.distributed import Client client = Client() ddf = dd.read_parquet( ...
and Parquet files to reading directly from SQL databases. Reading files is done using the “read” family of methods, while writing is done using the “to” family. For example, reading a CSV file is completed usingread_csv, and the data can be written back to CSV usingto_csv. Let’s...
Fix: Add to_pandas_kwargs to read_parquet for PyArrow engine Jun 12, 2024 scripts Add low-level create_dataframe_from_blocks helper function (pandas-de… Apr 16, 2024 tooling/debug DEPS: Use ipython run_cell instead of run_code; remove pytest-asyncio (… Nov 7, 2023 typings TYP: update...
compression='gzip') # doctest: +SKIP >>> pd.read_parquet('df.parquet.gzip') # doctest: +SKIP col1 col2 0 1 3 1 2 4 If you want to get a buffer to the parquet content you can use a io.BytesIO object, as long as you don't use partition_cols, which creates multipl...
feather read_fwf read_gbq read_hdfread_html read_json read_orc read_parquet read_pickleread_sas read_spss read_sql read_sql_query read_sql_tableread_stata read_table read_xml reset_option set_eng_float_formatset_option show_versions test testing timedelta_rangeto_datetime to_numeric to_...