Series.str can be used to access the values of a series as strings and apply multiple methods to it. Series.str.contains() Pandas Series.str.contains() is used to check if a template is contained or a regular expression on the Series or Index string. The function returns the Boolean value Series or Index depending on whether the specified pattern or regular expression is contained in the string Series or Index.
Syntax: Series.str.contains ( pat, case = True, flags = 0, na = nan, regex = True)
Parameter:
pat: Character sequence or regular expression.
case: If True, case sensitive.
flags: Flags to pass through to the re module, eg re.IGNORECASE.
na: Fill value for missing values.
regex: If True, assumes the pat is a regular expression.Returns: Series or Index of boolean values
Example # 1: Use Series.str.contains () to find if the pattern is present in the underlying rows of the given series object.
Output:
Now we will use Series.str.contains () to Series.str.contains () whether the pattern is contained in a string present in the underlying data of this series object.
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Output:
As we can see from the output, Series.str.contains () returned a series object with boolean values ... It is True if the passed template is present in the string, otherwise False is returned.
Example # 2: Use Series .str.contains () to find if the pattern is present in the underlying data strings in a given series object. Use regular expression to find pattern in strings.
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Output:
Now we will use Series.str.contains () so that Series.str.contains () whether the pattern is contained in a string that is present in the underlying data of this series object.
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Output:
As we can see from the output, Series.str.contains () returned a series object with boolean values. It is True if the passed pattern is present in the string, otherwise False is returned.
