DataType Class
Configures column data types for a dataset created in Azure Machine Learning.
DataType methods are used in the TabularDatasetFactory class
from_*
methods, which are used to create new TabularDataset objects.
- Inheritance
-
builtins.objectDataType
Constructor
DataType()
Methods
to_bool |
Configure conversion to bool. |
to_datetime |
Configure conversion to datetime. |
to_float |
Configure conversion to 64-bit float. |
to_long |
Configure conversion to 64-bit integer. |
to_stream |
Configure conversion to stream. |
to_string |
Configure conversion to string. |
to_bool
Configure conversion to bool.
static to_bool()
to_datetime
Configure conversion to datetime.
static to_datetime(formats=None)
Parameters
Formats to try for datetime conversion. For example %d-%m-%Y for data in "day-month-year", and %Y-%m-%dT%H:%M:%S.%f for "combined date an time representation" according to ISO 8601.
%Y: Year with 4 digits
%y: Year with 2 digits
%m: Month in digits
%b: Month represented by its abbreviated name in 3 letters, like Aug
%B: Month represented by its full name, like August
%d: Day in digits
%H: Hour as represented in 24-hour clock time
%I: Hour as represented in 12-hour clock time
%M: Minute in 2 digits
%S: Second in 2 digits
%f: Microsecond
%p: AM/PM designator
%z: Timezone, for example: -0700
Format specifiers will be inferred if not specified. Inference requires that the data source is accessible from current compute.
to_float
Configure conversion to 64-bit float.
static to_float(decimal_mark='.')
Parameters
- decimal_mark
Dot "." or comma "," for different regions' standard symbol for the decimal place. Uses a dot decimal marker by default. For example, the number 1234.56 should use "." as the decimal mark and the number 1234,56 should use "," as the decimal mark.
to_long
Configure conversion to 64-bit integer.
static to_long()
to_stream
Configure conversion to stream.
static to_stream(workspace, escaped=False)
Parameters
- workspace
- escaped
to_string
Configure conversion to string.
static to_string()
Feedback
https://aka.ms/ContentUserFeedback.
Coming soon: Throughout 2024 we will be phasing out GitHub Issues as the feedback mechanism for content and replacing it with a new feedback system. For more information see:Submit and view feedback for