Input/output#

Clipboard#

read_clipboard([sep])

Read text from clipboard and pass to read_csv().

DataFrame.to_clipboard(*[, excel, sep, ...])

Copy object to the system clipboard.

Flat file#

read_csv(path, *[, names, index_col, ...])

Read a comma-separated values (csv) file into DataFrame.

DataFrame.to_csv(path[, sep, na_rep, ...])

Write object to a comma-separated values (csv) file.

JSON#

read_json(path, *[, orient, typ, dtype, ...])

Read a JSON file into a DataFrame.

DataFrame.to_json([path, orient, ...])

Convert the object to a JSON string.

MaxCompute#

read_odps_query(query[, odps_entry, ...])

Read data from a MaxCompute (ODPS) query into DataFrame.

read_odps_table(table_name[, partitions, ...])

Read data from a MaxCompute (ODPS) table into DataFrame.

DataFrame.to_odps_table(table[, partition, ...])

Write DataFrame object into a MaxCompute (ODPS) table.

Native pandas#

read_pandas(data, **kwargs)

Create MaxFrame objects from pandas.

DataFrame.to_pandas([session])

Parquet#

read_parquet(path, engine, columns, ...[, ...])

Load a parquet object from the file path, returning a DataFrame.

DataFrame.to_parquet(path[, engine, ...])

Write a DataFrame to the binary parquet format, each chunk will be written to a Parquet file.