How to loop through pandas df column, finding if string contains any string from a separate pandas df column?

Question

I have two pandas DataFrames in python. DF A contains a column, which is basically sentence-length strings.

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Answer 1

You can iterate through a dataframe with the method iterrows(). You can try this:

# Dataframes definition
df_1 = pd.DataFrame({"sentence": ["this is from france and spain", "this is from france", "this is from germany"], "other": [15, 12, 33]})
df_2 = pd.DataFrame({"country": ["spain", "france", "germany"], "other_column": [7, 7, 8]})


# Create the new dataframe
df_3 = pd.DataFrame(columns = ["sentence", "other_column", "country"])
count=0

# Iterate through the dataframes, first through the country dataframe and inside through the sentence one.
for index, row in df_2.iterrows():
    country = row.country

    for index_2, row_2 in df_1.iterrows():
        if country in row_2.sentence:
            df_3.loc[count] = (row_2.sentence, row_2.other, country)
            count+=1

So the output is:

sentence                            other_column    country
0   this is from france and spain   15              spain
1   this is from france and spain   15              france
2   this is from france             12              france
3   this is from germany            33              germany