I’m relatively new to coding in Python and I’m having some issues with the `str.contains()` function in Pandas. I have a dataframe where one of the columns contains a string with multiple words, and I want to check if a ...Read more
I’m relatively new to coding in Python and I’m having some issues with the `str.contains()` function in Pandas. I have a dataframe where one of the columns contains a string with multiple words, and I want to check if a specific word is present in each row of that column. However, when I call the `str.contains()` function on my dataframe, I get an error message that says “str object has no attribute contains”. Here’s an example of the code that’s causing the issue:
import pandas as pd
df = pd.DataFrame({'col1': ['cat and dog', 'cat and bird', 'dog and mouse']})
keywords = ['cat', 'dog']
df['contains_keyword'] = df['col1'].str.contains(keywords)
I thought using the `str.contains()` function was the right approach to solve my problem, but it seems like I’m not using it correctly. Can anyone help me figure out what I’m doing wrong? Is there a better method to check if a specific word is present in a string for every row in a dataframe column? I’m a bit lost here and any help would be greatly appreciated.
Update: I realized that my original code was not giving me the right output for my problem. What I actually want to do is check if any of the keywords are present in each row of the dataframe, not just a single keyword. How can I modify my code to achieve this?
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