WebJan 31, 2012 · You can use islower () on your string to see if it contains some lowercase letters (amongst other characters). or it with isupper () to also check if contains some uppercase letters: below: letters in the string: test yields true >>> z = " (555) 555 - 5555 ext. 5555" >>> z.isupper () or z.islower () True WebJan 5, 2024 · import re def parse_str (num): """ Parse a string that is expected to contain a number. :param num: str. the number in string. :return: float or int. Parsed num. """ if not isinstance (num, str): # optional - check type raise TypeError ('num should be a str. Got {}.'.format (type (num))) if re.compile ('^\s*\d+\s*$').search (num): return int …
compare two python strings that contain numbers [duplicate]
WebFeb 5, 2024 · This technique can be applied in Data Science. Suppose if we are working on a dataset that contains gender as ‘male’ and ‘female’ then we can assign numbers like ‘0’ and ‘1’ respectively so that our algorithms can work on the data. This technique can also be applied to replace some particular values in a datasets with new values. WebNov 23, 2014 · I edited this answer to work with both python 2 and 3. def isEnglish (s): return s.isascii () print (isEnglish ("Test")) print (isEnglish ("_1991_اف_جي2")) Output: True False. If you work with strings (not unicode objects), you can clean it with translation and check with isalnum (), which is better than to throw Exceptions: how to remove grammar checker sublime
Python program to verify that a string only contains letters, numbers …
WebJun 29, 2024 · The problem is that all columns seem to be coded as strings rather than just the first one. How do I get the correct data type for the numbers? a = np.array ( [ ["String",1,2]]) a = np.append (a, [ ["another string", 3, 4]],axis = 0) python arrays python-2.7 numpy Share Improve this question Follow asked Jun 29, 2024 at 17:27 JLX 19 1 1 2 4 WebRegEx can be used to check if a string contains the specified search pattern. RegEx Module Python has a built-in package called re, which can be used to work with Regular Expressions. Import the re module: import re RegEx in Python When you have imported the re module, you can start using regular expressions: Example Get your own Python Server WebMay 19, 2011 · Each of the names are numbers but in the same way that textbook "sections" are numbered, meaning section 4.11 comes after 4.10 which both come after 4.9 and 4.1. I thought simply comparing these numbers as string would do but I get the following: >>> s1 = '4.11' >>> s2 = '4.2' >>> s1> s2 False >>> n1 = 4.11 >>> n2 = 4.2 … how to remove grammarly from microsoft word