Series.str
can be used to access the values of a series as strings and apply multiple methods to it. Series.str.match()
Pandas Series.str.match()
is used to determine if each line in the underlying data of a given series object to a regular expression.
Syntax: Series.str.match (pat, case = True, flags = 0, na = nan)
Parameter:
pat: Regular expression pattern with capturing groups.
case: If True, case sensitive
flags: A re module flag, for example re.IGNORECASE.
na: default NaN, fill value for missing values Returns: Series / array of boolean values
Example # 1: Use Series.str .match ()
to match the supplied regular expressions against a string in the underlying data of this series object.
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Output:
Now we will use Series.str.match ()
to matching the passed regular expressions with a string in the underlying data of this series object.
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Output:
As we can see in the output, Series.str.match ()
returned a series of logical their values. It contains True
for those values that match successfully otherwise it contains the value False
.
Example # 2: Use Series.str.match ()
to match the supplied regular expressions against a string in the underlying data of this series object.
|
Output:
We will now use Series.str.match ()
to match the supplied regular expressions against a string in the underlying data of this series object.
|
Output:
As we can see in the output, Series.str.match ()
returned a series of booleans. It contains True
for those values that match successfully, otherwise it contains False
.