Lambda function within a lambda function in Pandas

Question

I am trying the below function.

I want to translate the data in 'Text' from the language it's in, which can be determined through

df['Language'] = df.Text.apply(lambda x: TextBlob(str(x)).detect_language())

Into Spanish, which can be done with:

.translate(from_lang='en', to= 'es')

I have tried the below, but I'm not sure how to nest the two function into a single statement?

df['Translated'] = df.Text.apply(lambda x: TextBlob(str(x)).translate(from_lang= df.Text.apply(lambda x: TextBlob(str(x))), to ='en'))

The input dataframe is just a single column with text statements, like:

Text
"I love this game, I think its great"
"really buggy, not a good experience, do not buy"
"not too bad, not too good"

Can anyone help?

Answer 1

您可以使用 DataFrame.apply 而不是使用 Series.apply：

df['Translated'] = df.apply(lambda x: TextBlob(str(x.Text)).translate(from_lang=x.Language, to='en'), axis=1)