flink-python/docs/reference/pyflink.dataframe/creation.rst

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==================
DataFrame Creation
==================

Functions for creating DataFrames from row-oriented or column-oriented Python data.

Example::

    >>> import pyflink.dataframe as pf
    >>> users = pf.from_records([
    ...     {"id": 1, "name": "Alice"},
    ...     {"id": 2, "name": "Bob"},
    ... ])
    >>> users = pf.from_dict({"id": [1, 2], "name": ["Alice", "Bob"]})
    >>> import pandas as pd
    >>> import pyarrow as pa
    >>> pandas_users = pf.from_pandas(
    ...     pd.DataFrame({"id": [1, 2], "name": ["Alice", "Bob"]})
    ... )
    >>> arrow_users = pf.from_arrow(
    ...     pa.table({"id": [1, 2], "name": ["Alice", "Bob"]})
    ... )
    >>> table_users = pf.from_table(users.to_table())
    >>> identifiers = pf.range(5)

.. currentmodule:: pyflink.dataframe

.. autosummary::
    :toctree: api/

    from_records
    from_dict
    from_pandas
    from_arrow
    from_table
    range