python - How to test if a string contains one of the substrings in a list, in pandas?

Python - How to test if a string contains one of the substrings in a list, in pandas?

You can use the str.contains() method in pandas along with the | operator to check if a string contains any of the substrings from a list. Here's how you can do it:

import pandas as pd # Sample DataFrame df = pd.DataFrame({'text': ['apple', 'banana', 'orange', 'grape', 'pineapple']}) # List of substrings to check substrings = ['apple', 'orange', 'grape'] # Test if 'text' column contains any of the substrings mask = df['text'].str.contains('|'.join(substrings)) # Filter the DataFrame based on the mask result = df[mask] print(result)

This will output:

 text 0 apple 2 orange 3 grape 4 pineapple

Explanation:

  • We create a sample DataFrame df with a column named 'text'.
  • We define a list of substrings substrings that we want to check for.
  • We use the str.contains() method to check if any of the substrings from the list are present in each element of the 'text' column. The '|'.join(substrings) part creates a regex pattern that matches any of the substrings.
  • The result is a boolean mask where True indicates that the corresponding element in the 'text' column contains one of the substrings.
  • We use this mask to filter the DataFrame, keeping only the rows where the condition is True.

This approach allows you to efficiently test if a string contains any of the substrings from a list in pandas.

Examples

  1. "Python pandas check if string contains any substring in a list" Description: This query looks for a way to test if a string column in a Pandas DataFrame contains any of the substrings from a given list.

    import pandas as pd # Sample DataFrame df = pd.DataFrame({'text': ['apple pie', 'banana split', 'cherry tart', 'orange juice']}) # List of substrings to check substrings = ['apple', 'banana', 'cherry'] # Check if any substring in the list is in the 'text' column df['contains_substring'] = df['text'].str.contains('|'.join(substrings)) print(df)

  2. "Python pandas check if string contains substrings from a list efficiently" Description: This query seeks an efficient method to check if a string column in a Pandas DataFrame contains any of the substrings from a given list.

    import pandas as pd import re # Sample DataFrame df = pd.DataFrame({'text': ['apple pie', 'banana split', 'cherry tart', 'orange juice']}) # List of substrings to check substrings = ['apple', 'banana', 'cherry'] # Create regex pattern for efficient substring matching pattern = '|'.join(map(re.escape, substrings)) # Check if any substring in the list is in the 'text' column df['contains_substring'] = df['text'].str.contains(pattern) print(df)

  3. "Python pandas test if string contains any substring in a list using apply" Description: This query aims to use the apply function in Pandas to test if each string in a DataFrame column contains any substring from a given list.

    import pandas as pd # Sample DataFrame df = pd.DataFrame({'text': ['apple pie', 'banana split', 'cherry tart', 'orange juice']}) # List of substrings to check substrings = ['apple', 'banana', 'cherry'] # Function to check if any substring in the list is in the string def contains_substring(text): return any(sub in text for sub in substrings) # Apply the function to the 'text' column df['contains_substring'] = df['text'].apply(contains_substring) print(df)

  4. "Python pandas check if string contains substrings from a list using str.contains" Description: This query seeks to use the str.contains method in Pandas to test if a string column contains any of the substrings from a given list efficiently.

    import pandas as pd # Sample DataFrame df = pd.DataFrame({'text': ['apple pie', 'banana split', 'cherry tart', 'orange juice']}) # List of substrings to check substrings = ['apple', 'banana', 'cherry'] # Check if any substring in the list is in the 'text' column using str.contains df['contains_substring'] = df['text'].str.contains('|'.join(substrings)) print(df)

  5. "Python pandas check if string contains any substring in a list with list comprehension" Description: This query looks for a solution using list comprehension in Python to efficiently check if a string contains any of the substrings from a given list.

    import pandas as pd # Sample DataFrame df = pd.DataFrame({'text': ['apple pie', 'banana split', 'cherry tart', 'orange juice']}) # List of substrings to check substrings = ['apple', 'banana', 'cherry'] # Check if any substring in the list is in each string using list comprehension df['contains_substring'] = [any(sub in text for sub in substrings) for text in df['text']] print(df)

  6. "Python pandas check if string contains any substring in a list using numpy" Description: This query aims to use NumPy in Python to efficiently check if a string column in a Pandas DataFrame contains any of the substrings from a given list.

    import pandas as pd import numpy as np # Sample DataFrame df = pd.DataFrame({'text': ['apple pie', 'banana split', 'cherry tart', 'orange juice']}) # List of substrings to check substrings = ['apple', 'banana', 'cherry'] # Check if any substring in the list is in the 'text' column using numpy df['contains_substring'] = np.array([any(sub in text for sub in substrings) for text in df['text']]) print(df)

  7. "Python pandas check if string contains any substring in a list using str.contains with case sensitivity" Description: This query seeks a solution to use the str.contains method in Pandas with case sensitivity to test if a string column contains any of the substrings from a given list efficiently.

    import pandas as pd # Sample DataFrame df = pd.DataFrame({'text': ['apple pie', 'Banana split', 'cherry tart', 'Orange juice']}) # List of substrings to check substrings = ['apple', 'banana', 'cherry'] # Check if any substring in the list is in the 'text' column using str.contains with case sensitivity df['contains_substring'] = df['text'].str.contains('|'.join(substrings), case=False) print(df)

  8. "Python pandas check if string contains substrings from a list with set intersection" Description: This query aims to use set intersection in Python to efficiently check if a string column in a Pandas DataFrame contains any of the substrings from a given list.

    import pandas as pd # Sample DataFrame df = pd.DataFrame({'text': ['apple pie', 'banana split', 'cherry tart', 'orange juice']}) # List of substrings to check substrings = {'apple', 'banana', 'cherry'} # Check if any substring in the list is in each string using set intersection df['contains_substring'] = df['text'].apply(lambda x: bool(set(x.split()) & substrings)) print(df)

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