[英]Python TypeError: str, int, float
I am getting the 我正在
TypeError: 'float' object is not subscriptable
for the last line below. 对于下面的最后一行。 I do not understand why. 我不理解为什么。 Is this erroring on the values or the indices? 这是错误的值还是索引?
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. 假定是由于这些值,我尝试将这些值强制转换为float
和str
,但是这两种方法都无法解决此错误,而是根据类型的转换方式获取了类型为int或str的TypeErrors。
I looked at several other Questions on StackOverflow with the same description, but none of these resolved my problems. 我用相同的说明查看了StackOverflow上的其他几个问题,但是没有一个解决了我的问题。 Can anyone help? 有人可以帮忙吗? Am I being clear enough? 我足够清楚吗?
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]
self.combined_scores
might be a float
. self.combined_scores
可能是float
。 I see the following lines in your code: 我在您的代码中看到以下几行:
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
. 名称表明self.dist_weight
和sum_weights
都可以是float
。 The result of the division would then be a float
. 这样除法的结果将是float
。
Edit: 编辑:
The last line can only work, if self.combined_scores
is a multidimensional container. 如果self.combined_scores
是多维容器,则最后一行只能工作。 A pandas.DataFrame
probably. 可能是pandas.DataFrame
。
I think the error is in: 我认为错误在于:
self.combined_scores = normalized_dist_weight
Something seems to be missing here. 这里似乎缺少一些东西。 The similarly named self.combined_scores_df
is bound to a pandas.DataFrame
in the line below. 类似的self.combined_scores_df
绑定到下面一行中的pandas.DataFrame
。 I believe, a line that created a pandas.DataFrame
and bound it to self.combined_scores
was erroneously deleted. 我相信,创建pandas.DataFrame
并将其绑定到self.combined_scores
被错误地删除了。
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