1.1.0
Home
Installation
How to use this guide
Getting started
Support
User Guide
Tutorials
getML suite
Managing projects
Importing data
Annotating data
Data model
Preprocessing
Feature engineering
Predicting
Hyperparameter optimization
Deployment
API Documentation
Python API
data
Container
DataFrame
DataModel
Placeholder
roles
StarSchema
Subset
TimeSeries
View
concat
delete
exists
list_data_frames
load_container
load_data_frame
to_placeholder
access
columns
arange
from_value
random
rowid
BooleanColumnView
FloatColumn
FloatColumnView
StringColumn
as_num
as_ts
contains
count
count_distinct
is_null
substr
to_numpy
unique
update
with_subroles
with_unit
last_change
length
name
role
subroles
unit
StringColumnView
relationship
split
time
concat
delete
exists
load_container
load_data_frame
list_data_frames
to_placeholder
columns
arange
from_value
random
rowid
BooleanColumnView
FloatColumn
FloatColumnView
StringColumn
as_num
as_ts
contains
count
count_distinct
is_null
substr
to_numpy
unique
update
with_subroles
with_unit
last_change
length
name
role
subroles
unit
StringColumnView
access
relationship
split
subroles
time
database
datasets
engine
hyperopt
feature_learning
project
preprocessors
pipeline
predictors
sqlite3
DataFrame
Pipeline
set_project
Command line interface
About
getML
Docs
»
Python API
»
getml.data
»
columns
»
StringColumn
»
to_numpy
to_numpy
¶
StringColumn.
to_numpy
(
)
→
numpy.ndarray
¶
Transform column to numpy.ndarray