def test_t_column(self):
f = self.features.copy()
cols = list(f.columns)
name = 'arbitrary name'
cols[cols.index('frame')] = name
f.columns = cols
# smoke tests
link_df(f, 5, t_column=name, verify_integrity=True)
f_iter = (frame for fnum, frame in f.groupby('arbitrary name'))
list(link_df_iter(f_iter, 5, t_column=name, verify_integrity=True))
def test_t_column(self):
f = self.features.copy()
cols = list(f.columns)
name = 'arbitrary name'
cols[cols.index('frame')] = name
f.columns = cols
# smoke tests
link_df(f, 5, t_column=name, verify_integrity=True)
f_iter = (frame for fnum, frame in f.groupby('arbitrary name'))
list(link_df_iter(f_iter, 5, t_column=name, verify_integrity=True))
def link_df(self, *args, **kwargs):
kwargs.update(self.linker_opts)
kwargs['diagnostics'] = self.do_diagnostics
return link_df(*args, **kwargs)
def link_df(self, *args, **kwargs):
kwargs.update(self.linker_opts)
kwargs['diagnostics'] = self.do_diagnostics
return link_df(*args, **kwargs)