Match Values Of Different Columns And Dataframes
Check if value from one dataframe exists in another dataframe df_threads = pd.DataFrame({'conv_id': ['12', '15', '14', '23'], 'tweets': ['Nice', 'Test', 'Hi', 'Yes']}) df_orig = p
Solution 1:
Use np.where
and df.where
:
df_threads['File'] = np.where(df_threads['conv_id'].isin(df_orig['id']),
'Spanish', 'Portuguese')
>>>df_threads
conv_id tweets File
0 12 Nice Spanish
1 15 Test Spanish
2 14 Hi Portuguese
3 23 Yes Portuguese
Note: check your input data and your outcome, they not match.
Post a Comment for "Match Values Of Different Columns And Dataframes"