PandasOnPythonDataframePartition

PandasOnPythonDataframePartition """"""""""""""""""""""""""""""""

The class is specific implementation of :py:class:~modin.core.dataframe.pandas.partitioning.partition.PandasDataframePartition, providing the API to perform operations on a block partition using Python as the execution engine.

In addition to wrapping a pandas.DataFrame, the class also holds the following metadata:

• length - length of pandas.DataFrame wrapped
• width - width of pandas.DataFrame wrapped

An operation on a block partition can be performed in two modes:

• immediately via :meth:~modin.core.execution.python.implementations.pandas_on_python.partitioning.partition.PandasOnPythonDataframePartition.apply - in this case accumulated call queue and new function will be executed immediately.
• lazily_ via :meth:~modin.core.execution.python.implementations.pandas_on_python.partitioning.partition.PandasOnPythonDataframePartition.add_to_apply_calls - in this case function will be added to the call queue and no computations will be done at the moment.

Public API

.. autoclass:: modin.core.execution.python.implementations.pandas_on_python.partitioning.partition.PandasOnPythonDataframePartition :members:

.. _lazily: https://en.wikipedia.org/wiki/Lazy_evaluation