Package that processes ulog-data from pyulog. It converts ulog-data into pandas dataframe through resampling and provides convenient functions to add and extract additional information from the ulog-data.
To convert a
.ulg file into
ulog, please follow the pyulog instruction.
ulogdataframe contains the following classes:
This class is a convenient class to specify a topic and messages of interest.
This class contains a ulog-structure, pandas dataframe-structure and list of topics as class-members. It also contains a factory-method for converting a .ulg-file into class-members.
This module contains a few helper-functions for converting a .ulg-file into pandas-dataframe. It is mainly used for DfUlg.
Contains time-series functions.
Functions that provide info about the ulg-file.
Each dataframe column represents a message-field. For instance, the
thrust-field of the topic vehicle_local_position_setpoint would be named as follow:
if thrust is a scalar or
if thrust is an array, where the 2 represents the index of the array.
T stands for topic, which indicates the beginning of the topic. In this example, the topcic name is
vehicle_local_position_setpoint. The topic name is followed by a number, which indicates the topic instance. If there is only one instance of a specific topic, then this number will be
0. The instance number is followed by two underlines and a capital letter
F, which stands for field. In the example above, the field in question is
To prevent any conflict with the system python version, it is suggested to use a virtual enrionment with python version 3.6 and higher. Otherwise, python 3.6 and higher must be the python system version. If you don't have 3.6 installed on your machinge, you can follow this tutorial.
First install virtualenv:
sudo apt install virtualenv
Install virtualenvrapper: this will install
pip install virtualenvwrapper
Create a virtual environement directory
Add virtual envrionment working-folder to bashrc and source virtualenvwrapper:
export WORKON_HOME=$HOME/.virtualenvs source /usr/local/bin/virtualenvwrapper.sh
Open new terminal or source bashrc:
Create a virtual environment with python version 3 and no site packages included (python3 must be installed)
mkvirtualenv --python=python3 --no-site-packages [name-of-new-env]
You now created a new virtual environment with name [name-of-new-env].
To enter [name-of-new-env]:
To exit [name-of-new-env]:
The build-system in use is flit
pip install flit
Now we can build the projct:
flit install -s
-s stands for symlink which gives the option to test changes without reinstalling the package.
The projcet uses black for code-formatting and flake8 for style-guide enforcement. pre-commit-framework is used to ensure that each commit first gets adjusted through
blake and then checked by
flake8. PEP257 docstring style checker is used as well. We need to add
pre-commit to our
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size pyulgresample-0.0.1.tar.gz (14.1 MB)||File type Source||Python version None||Upload date||Hashes View|
|Filename, size pyulgresample-0.0.1-py3-none-any.whl (23.5 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
Hashes for pyulgresample-0.0.1-py3-none-any.whl