deephaven.column¶
This module implements the Column class and functions that work with Columns.
- class Column(name, data_type, component_type=None, column_type=ColumnType.NORMAL)[source]¶
Bases:
objectA Column object represents a column definition in a Deephaven Table.
- class ColumnType(value)[source]¶
Bases:
enum.EnumAn enumeration.
- GROUPING = io.deephaven.engine.table.ColumnDefinition$ColumnType(objectRef=0x3cf7048)¶
A grouping column.
- NORMAL = io.deephaven.engine.table.ColumnDefinition$ColumnType(objectRef=0x3cf7040)¶
A regular column.
- PARTITIONING = io.deephaven.engine.table.ColumnDefinition$ColumnType(objectRef=0x3cf7050)¶
A partitioning column.
- class InputColumn(name, data_type, component_type=None, column_type=ColumnType.NORMAL, input_data=None)[source]¶
Bases:
deephaven.column.ColumnAn InputColumn represents a user defined column with some input data.
- bool_col(name, data)[source]¶
Creates an input column containing Boolean data.
- Parameters
name (str) – the column name
data (Any) – a sequence of compatible data, e.g. list, tuple, numpy array, Pandas series, etc.
- Return type
- Returns
a new input column
- byte_col(name, data)[source]¶
Creates an input column containing primitive byte data.
- Parameters
name (str) – the column name
data (Any) – a sequence of compatible data, e.g. list, tuple, numpy array, Pandas series, etc.
- Return type
- Returns
a new input column
- char_col(name, data)[source]¶
Creates an input column containing primitive char data.
- Parameters
name (str) – the column name
data (Any) – a sequence of compatible data, e.g. list, tuple, numpy array, Pandas series, etc.
- Return type
- Returns
a new input column
- datetime_col(name, data)[source]¶
Creates an input column containing Deephaven Datetime instances.
- Parameters
name (str) – the column name
data (Any) – a sequence of Datetime instances
- Return type
- Returns
a new input column
- double_col(name, data)[source]¶
Creates an input column containing primitive double data.
- Parameters
name (str) – the column name
data (Any) – a sequence of compatible data, e.g. list, tuple, numpy array, Pandas series, etc.
- Return type
- Returns
a new input column
- float_col(name, data)[source]¶
Creates an input column containing primitive float data.
- Parameters
name (str) – the column name
data (Any) – a sequence of compatible data, e.g. list, tuple, numpy array, Pandas series, etc.
- Return type
- Returns
a new input column
- int_col(name, data)[source]¶
Creates an input column containing primitive int data.
- Parameters
name (str) – the column name
data (Any) – a sequence of compatible data, e.g. list, tuple, numpy array, Pandas series, etc.
- Return type
- Returns
a new input column
- jobj_col(name, data)[source]¶
Creates an input column containing Java objects.
- Parameters
name (str) – the column name
data (Any) – a sequence of Java objects
- Return type
- Returns
a new input column
- long_col(name, data)[source]¶
Creates an input column containing primitive long data.
- Parameters
name (str) – the column name
data (Any) – a python sequence of compatible data, could be numpy array or Pandas series
- Return type
- Returns
a new input column
- pyobj_col(name, data)[source]¶
Creates an input column containing complex, non-primitive-like Python objects.
- Parameters
name (str) – the column name
data (Any) – a sequence of Python objects
- Return type
- Returns
a new input column
- short_col(name, data)[source]¶
Creates an input column containing primitive short data.
- Parameters
name (str) – the column name
data (Any) – a sequence of compatible data, e.g. list, tuple, numpy array, Pandas series, etc.
- Return type
- Returns
a new input column