pattern=re.compile(r"[1-9]\d{5}(?:18|19|(?:[23]\d))\d{2}(?:(?:0[1-9])|(?:10|11|12))(?:(?:[0-2][1-9])|10|20|30|31)\d{3}[0-9Xx]")strs='小明的身份证号码是342623198910235163,手机号是13987692110'result=pattern.findall(strs)print(result) 代码语言:javascript 代...
andmatchesarereturnedintheorderfound.Ifoneormoregroupsarepresentinthepattern,returnalistofgroups;thiswillbealistoftuplesifthepatternhasmorethanonegroup.Emptymatchesareincludedintheresultunlesstheytouchthebeginningofanothermatch.我把文档处加黑了,注意你的正则里有capturegroup,findall()只返回含有capturegroup...
pattern = re.compile(r"[1-9]\d{5}(?:18|19|(?:[23]\d))\d{2}(?:(?:0[1-9])|(?:10|11|12))(?:(?:[0-2][1-9])|10|20|30|31)\d{3}[0-9Xx]") strs = '小明的身份证号码是342623198910235163,手机号是13987692110' result = pattern.findall(strs) print(result) 1. 2....
.group([group1...]) -> string or tuple of strings, 1 per arg .groups([default]) -> tuple of all groups, non-matching=default .groupdict([default]) -> {}, Named groups, non-matching=default .start([group]) -> int, Start/end of substring match by group .end([group]) -> int...
Our last task in this exercise is to apply PCA to images of faces. By using the same dimension reduction techniques we can capture the "essence" of the images using much less data than the original images. The exercise code includes a function that will render the first 100 faces in the...
CSV 是一种以"逗号分隔值"的文件格式，并以"纯文本形式"存储数据（数字和文字），CSV 是一种通用并...
For more information on what Visual Studio expects, see Named capture groups. RequiredPackages Optional Provides a list of package requirements for the command by using the same format as the requirements.txt file (pip.readthedocs.io). For example, the Run PyLint command specifies the format ...
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(capture_cold_start_metric=True) @logger.inject_lambda_context(log_event=True) @tracer.capture_lambda_handler def lambda_handler(event, context): """ 更新购物车表,以使用用户标识符而不是匿名 cookie 值作为键。用户登录时将调用 此方法。 """ logger.debug(event) cart_id, _ = get_cart_id(ev...
Also, these are linear correlation coefficients, and they may not capture non-linear relationships. Based on the exploratory data analysis, we've gained valuable insights into the factors that might influence customer churn. If you're interested, we could take this analysis further by building a ...