How Can I Efficiently Find Substrings Within Pandas DataFrame Columns?

Searching for Substrings in a Pandas DataFrame

When working with pandas DataFrames that contain columns of string values, it becomes necessary to filter rows based on partial string matches. For instance, isolating rows containing data related to a specific entity or topic.

To meet this requirement, pandas provides a powerful solution through its Series.str attribute. This attribute enables the utilization of vectorized string methods. For example:

df[df['A'].str.contains("hello")]

This line of code filters the DataFrame df by checking if the values in the column 'A' contain the substring "hello." It returns a new DataFrame containing only the rows that fulfill this condition.

This feature is particularly valuable when dealing with large DataFrames, as it offers a highly optimized and efficient method for performing partial string matching operations.

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