KeyError: 0 when trying to calculate value ratio after .explode() (Dataframe Python)

Question

I'm studying data mining and my homework requires me to calculate the ratio of values in the dataset. This homework is in .ipynb and there are process i must follow.

Here are the requirements in order: enter image description here enter image description here The dataset is like this: enter image description here Here is my code for the 1st requirement

def str2dict(s: str) -> List[Dict]:
    """Convert given string to dict
    return list(eval(s))

for i in range (0,shape[0]):
    cate_col_df["payloads"][i] = str2dict(cate_col_df["payloads"][i])
cate_col_df = cate_col_df.explode("payloads")

Here is my code for the 2nd requirement

import copy
def missing_ratio(s):
    # TODO:
    # YOUR CODE HERE
    tmp = s.isna().sum()
    return (tmp / s.shape[0]).round(3)*100
    raise NotImplementedError()

def num_values(s):
    # TODO:
    # YOUR CODE HERE
    tmp = copy.deepcopy(s)
    if isinstance(s[0], dict):
        for i in range (0,shape[0]):
            tmp[i] = str(tmp[i])
    return len(tmp.dropna().unique())
    raise NotImplementedError()

def value_ratios(s):
    # TODO:
    # YOUR CODE HERE
    tmp = copy.deepcopy(s)
    if isinstance(s[0], dict):
        for i in range (0,shape[0]):
            tmp[i] = str(tmp[i])
    tmp1 = tmp.value_counts().to_dict()
    u = tmp.dropna().unique()
    for i in u:
       tmp1[i] = round(tmp1[i]/shape[0],3)*100
            
    return tmp1
    raise NotImplementedError()

cat_col_info_df = cate_col_df.agg([missing_ratio, num_values, value_ratios])
cat_col_info_df

My code run fine when i didn't run the code for 1st requirement, (but it is a wrong answer), however, if i run both of them, the error will be 'KeyError: 0' I try to print the s variable and i can access s[0] but i don't know why it still annouce the error

The link to my dataset: https://github.com/MageOfFlowers/data/blob/master/rawdata-confidential/spaceX_laucnh.csv Please ask me if you need more information