Create new column based on other columns values with conditions

Question

I have a dataframe like the picture below:

I want to create a new column as "positive_review_contents" which contains the value from the column "review_contents" and the value is corresponding with column "individual_rate" where it is equal and higher than 4.

For the new column "positive_review_contents", some corresponding rows, where the "individual_rate" is below 4, will be Null so I could assign that Null value to "No Positive"

Please help to advise me. Thank you so much!

Answer 1

Can you try this and let me know if it works fine?

df["positive_review_contents"] = df["individual_rate"].apply(lambda x: (review_contents+individual_rate) if x >= 4 else 'No Positive Review')

Answer 2

You can do it with pandas.DataFrame.apply :

def get_prc(x):
    individual_rate = x["individual_rate"]
    if individual_rate >= 4:
        return x["review_contents"] + " " + str(individual_rate)
    return "Not positive"
 
df["positive_review_contents"] = df[["individual_rate", "review_contents"]].apply(get_prc, axis = 1)

The code above applies the function get_prc row-wise.