Batch Processing

A batch object can iterate over any spec object. The command below shows how to create a tshirt.pipeline.spec_pipeline.batch_spec object to iterate over many different tshirt.pipeline.spec_pipeline.spec methods. Here is an example on how to run spec_pipeline.spec.plot_wavebin_series over the batch object.

bspec = spec_pipeline.batch_spec(batchFile='corot1_batch_file.yaml')
bspec.batch_run('plot_wavebin_series', nbins=1, interactive=True)

This could be done on any method that spec can. One way to check if the batch file is working and test a method is to have the batch object spit out a tshirt.pipeline.spec_pipeline.spec object using spec_pipeline.batch_spec.return_spec_obj.

bspec = spec_pipeline.batch_spec(batchFile='corot1_batch_file.yaml')
spec = bspec.return_spec_obj()
spec.plot_one_spec()

Bokeh Interactive Plotting

How-To Use Interactive plots

Note that when running tshirt in a Jupyter notebook setting, use output_notebook to generate embedded interactive plots within the Jupyter notebook space.

from bokeh.io import output_notebook
output_notebook()
spec = spec_pipeline.spec()
spec.do_extraction()
spec.plot_wavebin_series(interactive=True)

More information on Interactive Plotting

Bokeh is an interactive visualization library that can easily make interactive plots, dashboards, and data applications. Before attempting to create an interactive plot follow the instructions on how to install Bokeh .

The Bokeh interface has a variety of modules. In the case of creating an interactive plot with tshirt’s spec_pipeline module, import specific functions of the bokeh.io module, and the bokeh.plotting module. From the bokeh.plotting module import figure to create a new figure for plotting if needed. From bokeh.io import the following:

  • output_notebook to configure the default output state and generate the output in the notebook cells.

  • show to immediately display a Bokeh object or application.

  • push_notebook to update Bokeh plots in a Jupyter notebook output cells with new data or property values.

The code below shows an example of how to import these various functions.

from bokeh.io import push_notebook, show, output_notebook
from bokeh.plotting import figure
output_notebook()