# args to on_* responders if re.search('{\d', uri_template): raise ValueError('Field names may not start with a digit.') if re.search('\s', uri_template): raise ValueError('URI

this app, try:", sys.argv[0], "in.txt out.txt" sys.exit() for ln in fin.readlines(): obj=re.search("(X PIN)(\d*)(\s)(\d*) (\s.*)",ln) if obj: num = int(obj.group(2))+25 ln=obj.group(1) +

check out pandas/core/config.py for more info. All of the functions above accept a regexp pattern (re.search style) as an argument, and so passing in a substring will work - as long as it is unambiguous : info axis where “arg in col == True” regex : string (regular expression) Keep info axis with re.search(regex, col) == True Notes Arguments are mutually exclusive, but this is not checked for pandas default True If True use re.search, otherwise use Python in operator Returns Series of boolean values See Also: match analagous, but stricter, relying on re.match instead of re.search pandas.core.strings

of this app, try:", sys.argv[0], "in.txt out.txt" sys.exit() for ln in fin.readlines(): obj=re.search("(X PIN)(\d*)(\s)(\d*)(\s.*)",ln) if obj: num = int(obj.group(2))+25 ln=obj.group(1) + str(num)

this app, try:", sys.argv[0], "in.txt out.txt" sys.exit() for ln in fin.readlines(): obj=re.search("(X PIN)(\d*)(\s)(\d*) (\s.*)",ln) if obj: num = int(obj.group(2))+25 ln=obj.group(1) +

of this app, try:”, sys.argv[0], ”in.txt out.txt” sys.exit() for ln in fin.readlines(): obj=re.search(”(X PIN)(\d*)(\s)(\d*)(\s.*)”,ln) if obj: num = int(obj.group(2))+25 ln=obj.group(1) + str(num)

rather than the match() function: >>> import re >>> m = re.search('(?<=abc)def', 'abcdef') >>> m.group(0) 'def' 这个例子搜索一个跟随在连字符后的单词： >>> m = re.search('(?<=-)\w+', 'spam-egg') >>> m.group(0) 'egg' (?re.search() or re. compile() are cached, so programs that use only a few regular expressions at a time needn’t part \. # the decimal point \d * # some fractional digits""", re.X) b = re.compile(r"\d+\.\d*") re.search(pattern, string, flags=0) Scan through string looking for the first location where the regular

rather than the match() function: >>> import re >>> m = re.search('(?<=abc)def', 'abcdef') >>> m.group(0) 'def' 这个例子搜索一个跟随在连字符后的单词： >>> m = re.search('(?<=-)\w+', 'spam-egg') >>> m.group(0) 'egg' (?re.search() or re. compile() are cached, so programs that use only a few regular expressions at a time needn’t part \. # the decimal point \d * # some fractional digits""", re.X) b = re.compile(r"\d+\.\d*") re.search(pattern, string, flags=0) Scan through string looking for the first location where the regular

rather than the match() function: >>> import re >>> m = re.search('(?<=abc)def', 'abcdef') >>> m.group(0) 'def' 这个例子搜索一个跟随在连字符后的单词： >>> m = re.search('(?<=-)\w+', 'spam-egg') >>> m.group(0) 'egg' (?re.search() or re. compile() are cached, so programs that use only a few regular expressions at a time needn’t part \. # the decimal point \d * # some fractional digits""", re.X) b = re.compile(r"\d+\.\d*") re.search(pattern, string, flags=0) Scan through string looking for the first location where the regular

false">Link text You can use the following function in process_value: def process_value(value): m = re.search("javascript:goToPage\(’(.*?)’", value) if m: return m.group(1) 3.5 Selectors When you’re scraping false">Link text You can use the following function in process_value: def process_value(value): m = re.search("javascript:goToPage\(’(.*?)’", value) if m: return m.group(1) Command line tool Learn about the