str.contains() method do in pandas?The str.contains() method checks if each string in a pandas Series contains a specified pattern or substring. It returns a Series of True or False values.
str.contains() to find rows with a specific word in a DataFrame column?You can use df['column'].str.contains('word') to get a boolean Series. Then use it to filter rows: df[df['column'].str.contains('word')].
str.contains() to ignore case when matching?Use the parameter case=False to make the pattern matching ignore uppercase or lowercase differences.
str.contains()?By default, str.contains() returns NaN for missing values. You can use na=False to treat missing values as False.
str.contains() use regular expressions for pattern matching?Yes, by default str.contains() uses regular expressions. You can disable this by setting regex=False if you want to match exact substrings.
df['col'].str.contains('abc') return?str.contains() returns a Series of True or False for each row, showing if the pattern is found.
str.contains() ignore case?Setting case=False makes the search case-insensitive.
str.contains()?The na=False parameter treats NaN values as False in the result.
Setting regex=False disables regex and matches the exact substring.
str.contains() return?str.contains() returns a Series of boolean values (True/False).
str.contains() to filter rows in a DataFrame based on a pattern.regex, case, and na parameters in str.contains().