source_column_names syntax

[ifarah]

If I don't want to type "lat", "lon", "ID" everytime when running the matrices. That's why source_column_names is there, right @lmnoel ?

I'm calling it like this, but I think it's bad syntax since it gives me this error:

w_asym_mat = TransitMatrix(network_type='walk', primary_input='ORIG/tracts_chi.csv', source_column_names={'lon','lat','ID'}, dest_column_names={'lon','lat','ID'}, secondary_input='DEST/nets_ws/chi_nets90.csv', configs=custom_config)

w_asym_mat.process()

TypeError: init() got an unexpected keyword argument 'source_column_names'

[lmnoel]

Close, the arg name for the transit matrix is primary_hints and secondary_hints, not source_column_names and dest_column_nmaes -- Logan Noel University of Chicago '19 Computer Science M.S.

On May 16, 2019, at 11:25, Irene Farah notifications@github.com wrote:

If I don't want to type "lat", "lon", "ID" everytime when running the matrices. That's why source_column_names is there, right @lmnoel https://github.com/lmnoel ?

I'm calling it like this, but I think it's bad syntax since it gives me this error:

w_asym_mat = TransitMatrix(network_type='walk', primary_input='ORIG/tracts_chi.csv', source_column_names={'lon','lat','ID'}, dest_column_names={'lon','lat','ID'}, secondary_input='DEST/nets_ws/chi_nets90.csv', configs=custom_config)

w_asym_mat.process()

TypeError: init() got an unexpected keyword argument 'source_column_names'

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[ifarah]

[lmnoel]

You’re passing in a set of the dataset’s column names, as opposed to a dictionary mapping the expected column names to the dataset’s column names.

On Thu, May 16, 2019 at 11:46 Irene Farah notifications@github.com wrote:

[image: Screen Shot 2019-05-16 at 11 46 17 AM] https://user-images.githubusercontent.com/22567155/57871986-479ec080-77d0-11e9-9001-04c787a23480.png

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-- Logan Noel University of Chicago Class of 2019 Economics Major | Computer Science Minor lnoel@uchicago.edu

[ifarah]

Perfect! Done!

w_asym_mat = TransitMatrix(network_type='walk', primary_input='ORIG/tracts_chi.csv', primary_hints={'lon': 'lon', 'lat': 'lat', 'idx': 'ID'}, secondary_hints={'lon': 'lon', 'lat': 'lat', 'idx': 'ID'}, secondary_input='DEST/nets_ws/chi_nets90.csv', configs=custom_config)

w_asym_mat.process()