PandasOnPythonDataframe#
The class is specific implementation of PandasDataframe
for Python execution engine. It serves as an intermediate level between
PandasQueryCompiler and
PandasOnPythonDataframePartitionManager.
Public API#
- class modin.core.execution.python.implementations.pandas_on_python.dataframe.dataframe.PandasOnPythonDataframe(partitions, index=None, columns=None, row_lengths=None, column_widths=None, dtypes: Optional[Union[Series, ModinDtypes, Callable]] = None, pandas_backend: Optional[str] = None)#
Class for dataframes with pandas storage format and Python engine.
PandasOnPythonDataframedoesn’t implement any specific interfaces, all functionality is inherited from thePandasDataframeclass.- Parameters:
partitions (np.ndarray) – A 2D NumPy array of partitions.
index (sequence) – The index for the dataframe. Converted to a
pandas.Index.columns (sequence) – The columns object for the dataframe. Converted to a
pandas.Index.row_lengths (list, optional) – The length of each partition in the rows. The “height” of each of the block partitions. Is computed if not provided.
column_widths (list, optional) – The width of each partition in the columns. The “width” of each of the block partitions. Is computed if not provided.
dtypes (pandas.Series, optional) – The data types for the dataframe columns.
pandas_backend ({"pyarrow", None}, optional) – Backend used by pandas. None - means default NumPy backend.