Skip to main content

A Seeq add-on tool for fitting curves to tabular data and pushing resulting formulas to Seeq.

Project description

Plot Curve

Plot Curve is a Seeq Add-On for fitting curves to tabular data, and pushing the resulting formulas to Seeq Workbench.

drawing

Installation

User Installation Requirements (Seeq Data Lab)

If you want to install seeq-plot-curve as a Seeq Add-on Tool, you will need a version of Seeq Data Lab:

  • Seeq Data Lab (> R50.5.0, >R51.1.0, or >R52.1.0)
  • Seeq module whose version matches the Seeq server version, and the version of SPy >= 182.25
  • Seeq server admin access

User Installation (Seeq Data Lab)

  1. Create a new Seeq Data Lab project, and open the terminal window.
  2. Run pip install seeq-plot-curve
  3. Run python -m seeq.addons.plot_curve [--users <users_list> --groups <groups_list>]. During the installation you will be prompted for your username/password (an access key can also be used). It will also prompt for the url of the app notebook which will be available from the deployment folder in Seeq Data Lab.
  4. Verify that the Plot Curve add-on is present in the AddOn menu in workbench.

Source Installation

For development work, it is highly recommended creating a python virtual environment and install the package in that working environment. If you are not familiar with python virtual environments, you can take a look here

Once your virtual environment is activated, you can install seeq-plot-curve from source with:

python setup.py install

Development

We welcome new contributors of all experience levels.

You can get started by cloning the repository with the command :

$ git clone git@gitub.com:seeq12/seeq-plot-curve.git

There is a template for the developer notebook in /development. To get started, copy it to the root directory, create a new virtual environment and install the requirements.

$ cp ./development/developer_notebook.ipynb developer_notebook.ipynb
$ pip install -r requirements.txt 

Next, modify the parameters within the workbook for your local environment (username, password, workbook, worksheet, etc.). Finally, start a jupyter server and navigate to the development notebook in the root directory.

$ jupyter notebook

Documentation can be updated by editing the source files in docs/src/source, and then using the provided bat file to generate the documentation in the docs folder, i.e.:

$ make.bat github

Important links


Citation

Please cite this work as:

seeq-plot-curve
Seeq Corporation, 2022
https://github.com/seeq12/seeq-plot-curve

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

seeq_plot_curve-0.1.3-py3-none-any.whl (40.7 kB view details)

Uploaded Python 3

File details

Details for the file seeq_plot_curve-0.1.3-py3-none-any.whl.

File metadata

File hashes

Hashes for seeq_plot_curve-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 5b38a3602e1c5d9d4989b7fb7357cd896123a6ef4a3d3376088a75ab308b4e18
MD5 11804bc268438d24d5e032b348811dcb
BLAKE2b-256 f564b8bd54e727056a7cb36bb71a47a1de7bc4773cb4d13b87da50c0d9c25699

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page