deephaven.dtypes¶
This module defines the data types supported by the Deephaven engine.
Each data type is represented by a DType class which supports creating arrays of the same type and more.
- BigDecimal = java.math.BigDecimal¶
Java BigDecimal type
- class DType(j_name, j_type=None, qst_type=None, is_primitive=False, np_type=<class 'numpy.object_'>)[source]¶
Bases:
objectA class representing a data type in Deephaven.
- DateTime = io.deephaven.time.DateTime¶
Deephaven DateTime type
- JObject = java.lang.Object¶
Java Object type
- Period = io.deephaven.time.Period¶
Deephaven time period type
- PyObject = org.jpy.PyObject¶
Python object type
- StringSet = io.deephaven.stringset.StringSet¶
Deephaven StringSet type
- array(dtype, seq, remap=None)[source]¶
Creates a Java array of the specified data type populated with values from a sequence.
Note
this method does unsafe casting, meaning precision and values might be lost with down cast
- Parameters
dtype (DType) – the component type of the array
seq (Sequence) – a sequence of compatible data, e.g. list, tuple, numpy array, Pandas series, etc.
remap (optional) – a callable that takes one value and maps it to another, for handling the translation of special DH values such as NULL_INT, NAN_INT between Python and the DH engine
- Return type
- Returns
a Java array
- Raises
DHError –
- bool_ = java.lang.Boolean¶
Boolean type
- byte = byte¶
Signed byte integer type
- byte_array = [B¶
Byte array type
- char = char¶
Character type
- datetime_array = [Lio.deephaven.time.DateTime;¶
Deephaven DateTime array type
- double = double¶
Double-precision floating-point number type
- double_array = [D¶
Double-precision floating-point array type
- float32 = float¶
Single-precision floating-point number type
- float32_array = [S¶
Single-precision floating-point array type
- float64 = double¶
Double-precision floating-point number type
- float64_array = [D¶
Double-precision floating-point array type
- float_ = double¶
Double-precision floating-point number type
- float_array = [D¶
Double-precision floating-point array type
- from_jtype(j_class)[source]¶
looks up a DType that matches the java type, if not found, creates a DType for it.
- Return type
- from_np_dtype(np_dtype)[source]¶
Looks up a DType that matches the provided numpy dtype or Pandas’s nullable equivalent; if not found, returns PyObject.
- Return type
- int16 = short¶
Signed short integer type
- int16_array = [S¶
Short array type
- int32 = int¶
Signed 32bit integer type
- int32_array = [I¶
32bit integer array type
- int64 = long¶
Signed 64bit integer type
- int64_array = [J¶
64bit integer array type
- int8 = byte¶
Signed byte integer type
- int8_array = [B¶
Byte array type
- int_ = long¶
Signed 64bit integer type
- int_array = [J¶
64bit integer array type
- long = long¶
Signed 64bit integer type
- long_array = [J¶
64bit integer array type
- short = short¶
Signed short integer type
- short_array = [S¶
Short array type
- single = float¶
Single-precision floating-point number type
- single_array = [S¶
Single-precision floating-point array type
- string = java.lang.String¶
String type
- string_array = [Ljava.lang.String;¶
Java String array type