Versuch JP zu verstehen...

exercise 2 bei JP

### exercise 4 2te teil
language, text = hamlets.iloc[0]

counted_text = count_words_fast(text)

data = pd.DataFrame({
    "word": list(counted_text.keys()),
    "count": list(counted_text.values())
})

data["length"] = data["word"].apply(len)

data.loc[data["count"] > 10,  "frequency"] = "frequent"
data.loc[data["count"] <= 10, "frequency"] = "infrequent"
data.loc[data["count"] == 1,  "frequency"] = "unique"

languages = []
for i in range(len(list(counted_text.keys()))):
    languages.append(language)
    
sub_data = pd.DataFrame({
    "language": languages,
    "mean_word_length": data.groupby(by = "frequency")["length"].mean(),
})

sub_data["frequency"]=list(data["frequency"])

#sub_data.loc[data["frequency"]=="frequent", "mean_word_length"] = mean1
#sub_data.loc[data["frequency"]=="infrequent", "mean_word_length"] = mean2
#sub_data.loc[data["frequency"]=="unique", "mean_word_length"] = mean3