Series.str can be used to access the values of the series as strings and apply several methods to it. Pandas Series.str.match() function is used to determine if each string in the underlying data of the given series object matches 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 valuesReturns : Series/array of boolean values
Example #1: Use Series.str.match() function to match the passed regular expressions with the string in the underlying data of the given series object.
# importing pandas as pdimport pandas as pd # importing re for regular expressionsimport re # Creating the Seriessr = pd.Series(['New_York', 'Lisbon', 'Tokyo', 'Paris', 'Munich']) # Creating the indexidx = ['City 1', 'City 2', 'City 3', 'City 4', 'City 5'] # set the indexsr.index = idx # Print the seriesprint(sr) |
Output :
Now we will use Series.str.match() function to match the passed regular expressions with the string in the underlying data of the given series object.
# match either 'Tokyo' or 'Paris'result = sr.str.match(pat = '(Tokyo)|(Paris)') # print the resultprint(result) |
Output :
As we can see in the output, the Series.str.match() function has returned a series of boolean values. It contains True for those values which successfully matches else it contains False.
Example #2 : Use Series.str.match() function to match the passed regular expressions with the string in the underlying data of the given series object.
# importing pandas as pdimport pandas as pd # importing re for regular expressionsimport re # Creating the Seriessr = pd.Series(['Mike', 'Alessa', 'Nick', 'Kim', 'Britney']) # Creating the indexidx = ['Name 1', 'Name 2', 'Name 3', 'Name 4', 'Name 5'] # set the indexsr.index = idx # Print the seriesprint(sr) |
Output :
Now we will use Series.str.match() function to match the passed regular expressions with the string in the underlying data of the given series object.
# match groups having any capital letter# followed by 'i' and any other characterresult = sr.str.match(pat = '([A-Z]i.)') # print the resultprint(result) |
Output :
As we can see in the output, the Series.str.match() function has returned a series of boolean values. It contains True for those values which successfully matches else it contains False.
