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A Python toolkit for managing, retrieving, and processing data.
You can install the toolkit with:
$ pip3 install pydtk
If you want to install the toolkit with extra feature (e.g. support for PointCloud and ROS), you can install it with extra dependencies as follows:
$ pip3 install pydtk[pointcloud,ros]
Some PyDTK models require additional packages.
Please refer the following table and install them manually with command pip install ...
.
PyDTK model | Required packages |
---|---|
rosbag.* | ros_numpy (https://github.com/eric-wieser/ros_numpy.git) |
pointcloud.PCDModel | pypcd (https://github.com/klintan/pypcd.git) |
By using Pydtk, you can load a variety of types of data with a unified interface as shown below.
from pydtk.db import DBHandler
# Initialize handler (This will read all the metadata from DB on initialization)
handler = DBHandler(
db_class='meta',
db_host='./examples/example_db',
base_dir_path='./test'
)
# Select by timestamp
handler.read(pql='start_timestamp > 1420000000 and end_timestamp < 1500000000')
print(handler.data)
# Select by record-id
handler.read(pql='record_id == regex("test.*")')
print(handler.data)
from pydtk.io import BaseFileReader, NoModelMatchedError
reader = BaseFileReader()
try:
for sample in handler:
print('loading content "{0}" from file "{1}"'.format(sample['contents'], sample['path']))
try:
timestamps, data, columns = reader.read(sample)
assert print(data)
except NoModelMatchedError as e:
print(str(e))
continue
except EOFError:
pass
For more information about this toolkit, please refer the document.
To improve this toolkit, firstly clone this repository and then run the following command to prepare the environment.
$ git clone git@github.com:dataware-tools/pydtk.git --recurse-submodules
$ poetry install
Make sure that poetry is installed before executing the command.
If you want to install the toolkit with extra feature (e.g. support for ROS),
please specify it with -E
option.
Example (installation with pointcloud
and ros
extras):
$ poetry install -E pointcloud -E ros
FAQs
A Python toolkit for managing, retrieving and processing data.
We found that pydtk demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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Ensure open-source compliance with Socket’s License Enforcement Beta. Set up your License Policy and secure your software!
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