Additional Information

#Model classes and types #*********************** # #This table lists all supported model classes and types in this version of CellOrganizer # #.. exec:: # print commands.getoutput(‘python make_tabulate_from_excel.py model_class_and_types.xlsx v2.5 ” “’)

Reproducing Figures from Research Articles

This table is a guide to specific demos included with CellOrganizer that generate figures similar to those presented in publications that used CellOrganizer to analyze particular datasets. Some demos will generate the same figures as in the research article and others will build a similar output, e.g. same figure different synthetic image.

Traceback (most recent call last):
File “make_tabulate_from_excel.py”, line 20, in <module>
df = df.fillna( fill_na_string )
File “/usr/local/lib/python2.7/dist-packages/pandas/core/frame.py”, line 3466, in fillna
downcast=downcast)
File “/usr/local/lib/python2.7/dist-packages/pandas/core/internals.py”, line 1298, in fillna
return self.apply(‘fillna’, *args, **kwargs)
File “/usr/local/lib/python2.7/dist-packages/pandas/core/internals.py”, line 1269, in apply
applied = getattr(blk,f)(*args, **kwargs)
File “/usr/local/lib/python2.7/dist-packages/pandas/core/internals.py”, line 219, in fillna
np.putmask(new_values, mask, value)

ValueError: could not convert string to float: