How can I replace a value if the value in the column title?

Question

I have dataframe as below. I want to replace value to 1 if each column title in A1.

This is my expected output.

Answer 1

Let your data frame df , and assume 2, 3, ... columns are the words.

Then use one of the following codes.

Code 1. Using .str.contains()

word_list = df.columns.tolist()[1:]
for word in word_list:
    df[word] = df['A1'].str.contains(word).astype(int)

Code 2. Using sklearn.feature_extraction.text.CountVectorizer

from sklearn.feature_extraction.text import CountVectorizer
word_list = df.columns.tolist()[1:]

vectorizer = CountVectorizer(vocabulary = word_list)
X = vectorizer.fit_transform(df['A1']).toarray()
X = pd.DataFrame(X, columns = word_list)
output = pd.concat([df['A1'], X], axis = 1)