Extract rows Pandas If the value of column is contained in another column
Question:
I have the following dataset (see figure)
I need to extract all rows from the Results data frame such that Results[‘Class’] is in Results[Path_x’]
(In the specific case, it should only return me the second-to-last line because Results[‘Class’] is totally contained in Results[‘Path_x’] in the penultimate case)
I tried the following line of code:
results=results[results['Class'].isin(results['Path_x'])]
However, that line always generates an empty data frame.
Answers:
You can do
mask = results.apply(lambda x: ['Class'] in results['Path_x'], axis=1)
results= results.loc[mask, :]
See this question: Python Pandas: Check if string in one column is contained in string of another column in the same row
I have the following dataset (see figure)
I need to extract all rows from the Results data frame such that Results[‘Class’] is in Results[Path_x’]
(In the specific case, it should only return me the second-to-last line because Results[‘Class’] is totally contained in Results[‘Path_x’] in the penultimate case)
I tried the following line of code:
results=results[results['Class'].isin(results['Path_x'])]
However, that line always generates an empty data frame.
You can do
mask = results.apply(lambda x: ['Class'] in results['Path_x'], axis=1)
results= results.loc[mask, :]
See this question: Python Pandas: Check if string in one column is contained in string of another column in the same row