Reputation: 3511
I am getting the
TypeError: 'float' object is not subscriptable
for the last line below. I do not understand why. Is this erroring on the values or the indices?
Assuming it's because of the values, I tried casting these values as float
and str
, but neither of these approaches fixes this error and instead I get TypeErrors of type int or str, depending on how I cast them.
I looked at several other Questions on StackOverflow with the same description, but none of these resolved my problems. Can anyone help? Am I being clear enough?
def initialize_combined_scores(self):
sum_weights = self.dist_weight + self.coc_weight + self.optimization_weight + self.productivity_weight
normalized_dist_weight = self.dist_weight / sum_weights
normalized_coc_weight = self.coc_weight / sum_weights
normalized_optimization_weight = self.optimization_weight / sum_weights
normalized_productivity_weight = self.productivity_weight / sum_weights
self.combined_scores = normalized_dist_weight
self.combined_scores_df = pandas.DataFrame({'WorkerID':self.worker_ids})
self.combined_scores_df['WorkerClusterLat'] = [xx for xx,yy in self.worker_ll]
self.combined_scores_df['WorkerClusterLon'] = [yy for xx,yy in self.worker_ll]
for col_name in self.worker_col_keepers:
self.combined_scores_df[col_name] = self.worker_df[col_name]
for pidx, patient_id in enumerate(self.patient_ids):
self.combined_scores_df[str(patient_id)] = self.combined_scores[:, pidx]
Upvotes: 0
Views: 109
Reputation: 2213
self.combined_scores
might be a float
. I see the following lines in your code:
normalized_dist_weight = self.dist_weight / sum_weights
...
self.combined_scores = normalized_dist_weight
The names suggest that both self.dist_weight
and sum_weights
could both very well be float
. The result of the division would then be a float
.
Edit:
The last line can only work, if self.combined_scores
is a multidimensional container. A pandas.DataFrame
probably.
I think the error is in:
self.combined_scores = normalized_dist_weight
Something seems to be missing here. The similarly named self.combined_scores_df
is bound to a pandas.DataFrame
in the line below. I believe, a line that created a pandas.DataFrame
and bound it to self.combined_scores
was erroneously deleted.
Upvotes: 1