引发 KeyError (gpr)

问题描述

抱歉有任何混淆！！这是一个编辑过的版本——我试图让它的重现性最低。

# embed subject recall in vector space
def run_sts_benchmark(batch):
    sts_encode1 = tf.nn.l2_normalize(embed(tf.constant(batch['sent_1'].tolist())),axis=1)
    sts_encode2 = tf.nn.l2_normalize(embed(tf.constant(batch['sent_2'].tolist())),axis=1)
    cosine_similarities = tf.reduce_sum(tf.multiply(sts_encode1,sts_encode2),axis=1)
    clip_cosine_similarities = tf.clip_by_value(cosine_similarities,-1.0,1.0)
    scores = 1.0 - tf.acos(clip_cosine_similarities) / math.pi
    return scores
sub = "5ae5e66d3ab2fb0001ef2f3c"
item = "Armor"
df = pd.DataFrame()
# open file that is in a folder called "Armor" && named after subject ID
with open("....directory..../Armor/5ae5e66d3ab2fb0001ef2f3c.csv") as f2:
    next(f2)
    resp = csv.reader(f2)
    resp_list = []
    for row in resp:
        sent_1 = []
        sent = row[0]
        sent_1.append(sent)
        resp_list.append(sent)
        # open answer sheet
        with open("....directory..../answer_sheets/Armor.csv") as f:
            score_key = csv.reader(f)
            for row in score_key:
                sent_2 = row
                # make file col1:subject response,col2: correct answer
                data = pd.DataFrame({"sent_1":sent_1,"sent_2":sent_2})
                # score semantic similarity between response && answer
                score = run_sts_benchmark(data).numpy()
                # binarize semantic similarities
                if score >= threshold:
                    acc = 1
                else:
                    acc = 0
                data['score'] = score
                data['step_acc'] = acc
                df = df.append(data)
# each clause of a subject recall is compared to every clause of an answer sheet and has a similarity score
df_acc = df.groupby('sent_1').sum()

错误——

Traceback (most recent call last):
  File "<stdin>",line 1,in <module>
  File "/opt/anaconda3/lib/python3.8/site-packages/pandas/core/frame.py",line 6511,in groupby
    return DataFrameGroupBy(
  File "/opt/anaconda3/lib/python3.8/site-packages/pandas/core/groupby/groupby.py",line 525,in __init__
    grouper,exclusions,obj = get_grouper(
  File "/opt/anaconda3/lib/python3.8/site-packages/pandas/core/groupby/grouper.py",line 781,in get_grouper
    raise KeyError(gpr)
KeyError: 'sent_1'

在尝试运行最后一行时发生。我尝试在函数之外运行它，给受试者的回忆打分一行，但没有发生错误。有没有办法在迭代多次召回时避免这个错误？

解决方法

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