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%load_ext autoreload
%autoreload 2


    

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import cellpy
from cellpy.utils import batch
from cellpy import prms

from pathlib import Path


    

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batch.check_iterate()


    

    




========================= Iterating through the folder =========================
Folder name: C:\Scripting\Processing\Celldata\live
Glob pattern: *.json
Found the following files:
  0000 - C:\Scripting\Processing\Celldata\live\cellpy_batch_embla_002.json
  0001 - C:\Scripting\Processing\Celldata\live\cellpy_batch_embla_test.json
---------------------------------- Processing ----------------------------------






    






 
 










    






 
 










    






 
 










    






 
 










    






 
 










    





...Finished 

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f = r"C:\Scripting\Processing\Celldata\outdata\cellpy_test\cellpy_batch_embla_test.json"


    

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name = "embla_test"
project = "cellpy_test"
batch_col = "b02"


    

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prms.Batch.backend = "matplotlib"
#prms.Batch.backend = "bokeh"


    

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#b = batch.Batch(file_name=f, db_reader=None)
b = batch.process_batch(name, project, batch_col=batch_col, force_cellpy=True)


    

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#b.paginate()
#b.update()
#b.combine_summaries()


    

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f = b.plot_summaries(output_filename="out.png", backend="matplotlib")


    

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b.plotter.farms


    

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#_, out_dir, _ = b.experiment.journal.paginate()


    

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name = b.experiment.journal.name


    

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b.experiment.journal.project_dir


    

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out_dir = Path(b.experiment.journal.batch_dir)


    

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for n, farm in enumerate(b.plotter.farms):
    if len(b.plotter.farms) > 1:
        file_name = f"summary_plot_{name}_{str(n+1).zfill(3)}.png"
    else:
        file_name = f"summary_plot_{name}.png"
    out = out_dir / file_name
    farm.savefig(out)


    

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fig = b.plotter.farms[0]


    

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fig


    

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