{"id":1179054,"date":"2025-01-15T18:18:29","date_gmt":"2025-01-15T10:18:29","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1179054.html"},"modified":"2025-01-15T18:18:31","modified_gmt":"2025-01-15T10:18:31","slug":"python%e5%a6%82%e4%bd%95%e4%bb%8e%e6%af%8f%e8%a1%8c%e6%8f%90%e5%8f%96%e6%95%b0%e6%8d%ae-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1179054.html","title":{"rendered":"python\u5982\u4f55\u4ece\u6bcf\u884c\u63d0\u53d6\u6570\u636e"},"content":{"rendered":"

\"python\u5982\u4f55\u4ece\u6bcf\u884c\u63d0\u53d6\u6570\u636e\"<\/p>\n

\u8981\u4ece\u6bcf\u884c\u63d0\u53d6\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684\u591a\u79cd\u65b9\u6cd5\uff0c\u5982\u6b63\u5219\u8868\u8fbe\u5f0f\u3001\u5b57\u7b26\u4e32\u64cd\u4f5c\u3001pandas\u5e93<\/strong>\u7b49\u3002\u9996\u5148\uff0c\u6211\u4eec\u53ef\u4ee5\u7528\u5b57\u7b26\u4e32\u64cd\u4f5c\u65b9\u6cd5\u6765\u7b80\u5355\u5730\u63d0\u53d6\u6570\u636e\u3002\u6b63\u5219\u8868\u8fbe\u5f0f<\/strong>\u662f\u66f4\u590d\u6742\u548c\u7075\u6d3b\u7684\u65b9\u6cd5\uff0c\u80fd\u591f\u5904\u7406\u66f4\u590d\u6742\u7684\u6587\u672c\u6a21\u5f0f\u5339\u914d\u3002pandas\u5e93\u5219\u9002\u7528\u4e8e\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\u6587\u4ef6\uff08\u5982CSV\uff09\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b57\u7b26\u4e32\u64cd\u4f5c<\/p>\n<\/p>\n

\u5b57\u7b26\u4e32\u64cd\u4f5c\u662f\u6700\u76f4\u63a5\u3001\u6700\u57fa\u672c\u7684\u65b9\u6cd5\uff0c\u9002\u7528\u4e8e\u7b80\u5355\u7684\u6587\u672c\u5904\u7406\u4efb\u52a1\u3002\u5e38\u7528\u7684\u5b57\u7b26\u4e32\u64cd\u4f5c\u5305\u62ecsplit()\u3001strip()\u3001find()\u7b49\u3002<\/p>\n<\/p>\n

1\u3001split()\u65b9\u6cd5<\/p>\n<\/p>\n

split()\u65b9\u6cd5\u53ef\u4ee5\u6839\u636e\u6307\u5b9a\u7684\u5206\u9694\u7b26\u5c06\u5b57\u7b26\u4e32\u5206\u5272\u6210\u5217\u8868\uff0c\u8fdb\u800c\u63d0\u53d6\u6240\u9700\u7684\u6570\u636e\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n

data = "Name: John, Age: 30, Country: USA"<\/p>\n
parts = data.split(", ")<\/p>\n
name = parts[0].split(": ")[1]<\/p>\n
age = parts[1].split(": ")[1]<\/p>\n
country = parts[2].split(": ")[1]<\/p>\n
print(f"Name: {name}, Age: {age}, Country: {country}")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u9996\u5148\u5c06\u5b57\u7b26\u4e32\u6309\u9017\u53f7\u548c\u7a7a\u683c\u5206\u5272\uff0c\u7136\u540e\u518d\u5bf9\u6bcf\u4e2a\u90e8\u5206\u6309\u5192\u53f7\u548c\u7a7a\u683c\u5206\u5272\uff0c\u6700\u7ec8\u63d0\u53d6\u51fa\u6240\u9700\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
2\u3001strip()\u65b9\u6cd5<\/p>\n<\/p>\n
strip()\u65b9\u6cd5\u7528\u4e8e\u53bb\u9664\u5b57\u7b26\u4e32\u5f00\u5934\u548c\u7ed3\u5c3e\u7684\u6307\u5b9a\u5b57\u7b26\uff08\u9ed8\u8ba4\u4e3a\u7a7a\u683c\uff09\uff0c\u9002\u7528\u4e8e\u53bb\u9664\u591a\u4f59\u7a7a\u683c\u6216\u7279\u6b8a\u5b57\u7b26\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
data = "  Name: John, Age: 30, Country: USA  "<\/p>\n
cleaned_data = data.strip()<\/p>\n
print(cleaned_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001find()\u65b9\u6cd5<\/p>\n<\/p>\n
find()\u65b9\u6cd5\u7528\u4e8e\u67e5\u627e\u5b50\u5b57\u7b26\u4e32\u5728\u5b57\u7b26\u4e32\u4e2d\u7684\u4f4d\u7f6e\uff0c\u8fd4\u56de\u7d22\u5f15\u503c\u3002\u53ef\u4ee5\u7ed3\u5408\u5b57\u7b26\u4e32\u5207\u7247\u64cd\u4f5c\u6765\u63d0\u53d6\u6570\u636e\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
data = "Name: John, Age: 30, Country: USA"<\/p>\n
start = data.find("Age: ") + len("Age: ")<\/p>\n
end = data.find(",", start)<\/p>\n
age = data[start:end].strip()<\/p>\n
print(f"Age: {age}")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u6b63\u5219\u8868\u8fbe\u5f0f<\/p>\n<\/p>\n
\u6b63\u5219\u8868\u8fbe\u5f0f\uff08Regular Expression\uff09\u662f\u5904\u7406\u5b57\u7b26\u4e32\u7684\u5f3a\u5927\u5de5\u5177\uff0c\u9002\u7528\u4e8e\u590d\u6742\u7684\u6587\u672c\u5339\u914d\u548c\u63d0\u53d6\u4efb\u52a1\u3002Python\u4e2d\u53ef\u4ee5\u4f7f\u7528re\u6a21\u5757\u6765\u5904\u7406\u6b63\u5219\u8868\u8fbe\u5f0f\u3002<\/p>\n<\/p>\n
1\u3001\u57fa\u672c\u7528\u6cd5<\/p>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4e00\u4e9b\u57fa\u672c\u7684\u6b63\u5219\u8868\u8fbe\u5f0f\u64cd\u4f5c\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import re<\/p>\n
data = "Name: John, Age: 30, Country: USA"<\/p>\n
pattern = r"Name: (\\w+), Age: (\\d+), Country: (\\w+)"<\/p>\n
match = re.search(pattern, data)<\/p>\n
if match:<\/p>\n
    name = match.group(1)<\/p>\n
    age = match.group(2)<\/p>\n
    country = match.group(3)<\/p>\n
    print(f"Name: {name}, Age: {age}, Country: {country}")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6b63\u5219\u8868\u8fbe\u5f0f\u6a21\u5f0fr"Name: (\\w+), Age: (\\d+), Country: (\\w+)"<\/code>\u7528\u4e8e\u5339\u914d\u540d\u5b57\u3001\u5e74\u9f84\u548c\u56fd\u5bb6\uff0c\u5e76\u4f7f\u7528\u6355\u83b7\u7ec4\u63d0\u53d6\u76f8\u5e94\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
2\u3001re.findall()\u65b9\u6cd5<\/p>\n<\/p>\n
re.findall()\u65b9\u6cd5\u7528\u4e8e\u67e5\u627e\u6240\u6709\u4e0e\u6a21\u5f0f\u5339\u914d\u7684\u5b50\u5b57\u7b26\u4e32\uff0c\u5e76\u8fd4\u56de\u4e00\u4e2a\u5217\u8868\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import re<\/p>\n
data = "Items: apple, banana, cherry, date"<\/p>\n
pattern = r"\\b\\w+\\b"<\/p>\n
matches = re.findall(pattern, data)<\/p>\n
print(matches)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6b63\u5219\u8868\u8fbe\u5f0f\u6a21\u5f0f\\b\\w+\\b<\/code>\u7528\u4e8e\u5339\u914d\u6bcf\u4e2a\u5355\u8bcd\uff0c\u5e76\u5c06\u6240\u6709\u5339\u914d\u7ed3\u679c\u5b58\u50a8\u5728\u5217\u8868\u4e2d\u3002<\/p>\n<\/p>\n
\u4e09\u3001pandas\u5e93<\/p>\n<\/p>\n
pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u9002\u7528\u4e8e\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\u6587\u4ef6\uff08\u5982CSV\u3001Excel\uff09\u3002\u53ef\u4ee5\u4f7f\u7528pandas\u8bfb\u53d6\u6587\u4ef6\u5e76\u63d0\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n
1\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/p>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4f7f\u7528pandas\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u63d0\u53d6\u6570\u636e\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
df = pd.read_csv("data.csv")<\/p>\n
print(df.head())<\/p>\n
name = df["Name"].iloc[0]<\/p>\n
age = df["Age"].iloc[0]<\/p>\n
country = df["Country"].iloc[0]<\/p>\n
print(f"Name: {name}, Age: {age}, Country: {country}")<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/p>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4f7f\u7528pandas\u8bfb\u53d6Excel\u6587\u4ef6\u5e76\u63d0\u53d6\u6570\u636e\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
df = pd.read_excel("data.xlsx")<\/p>\n
print(df.head())<\/p>\n
name = df["Name"].iloc[0]<\/p>\n
age = df["Age"].iloc[0]<\/p>\n
country = df["Country"].iloc[0]<\/p>\n
print(f"Name: {name}, Age: {age}, Country: {country}")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u603b\u7ed3<\/p>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5728Python\u4e2d\u4ece\u6bcf\u884c\u63d0\u53d6\u6570\u636e\uff0c\u65e0\u8bba\u662f\u4f7f\u7528\u5b57\u7b26\u4e32\u64cd\u4f5c\u3001\u6b63\u5219\u8868\u8fbe\u5f0f\u8fd8\u662fpandas\u5e93\uff0c\u90fd\u53ef\u4ee5\u6839\u636e\u4e0d\u540c\u7684\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002\u5b57\u7b26\u4e32\u64cd\u4f5c\u9002\u7528\u4e8e\u7b80\u5355\u7684\u6587\u672c\u5904\u7406\u4efb\u52a1\uff0c\u6b63\u5219\u8868\u8fbe\u5f0f\u9002\u7528\u4e8e\u590d\u6742\u7684\u6587\u672c\u5339\u914d\u548c\u63d0\u53d6\u4efb\u52a1\uff0cpandas\u5e93\u5219\u9002\u7528\u4e8e\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\u6587\u4ef6<\/strong>\u3002\u5e0c\u671b\u8fd9\u4e9b\u65b9\u6cd5\u548c\u793a\u4f8b\u80fd\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u5904\u7406\u548c\u63d0\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u4ece\u6587\u672c\u6587\u4ef6\u7684\u6bcf\u4e00\u884c\u63d0\u53d6\u7279\u5b9a\u6570\u636e\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684\u6587\u4ef6\u64cd\u4f5c\u529f\u80fd\u6765\u9010\u884c\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u3002\u4f7f\u7528open()<\/code>\u51fd\u6570\u6253\u5f00\u6587\u4ef6\uff0c\u5e76\u7ed3\u5408readline()<\/code>\u6216for<\/code>\u5faa\u73af\u904d\u5386\u6bcf\u4e00\u884c\u3002\u63d0\u53d6\u7279\u5b9a\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u5229\u7528\u5b57\u7b26\u4e32\u7684split()<\/code>\u65b9\u6cd5\u3001\u6b63\u5219\u8868\u8fbe\u5f0f\u6216\u5176\u4ed6\u6587\u672c\u5904\u7406\u6280\u672f\u6765\u5b9e\u73b0\u3002<\/p>\n
\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u63d0\u53d6\u6570\u636e\u6709\u4ec0\u4e48\u4f18\u52bf\uff1f<\/strong>
\u6b63\u5219\u8868\u8fbe\u5f0f\u662f\u4e00\u79cd\u5f3a\u5927\u7684\u6587\u672c\u5339\u914d\u5de5\u5177\uff0c\u5141\u8bb8\u60a8\u6839\u636e\u590d\u6742\u7684\u6a21\u5f0f\u4ece\u5b57\u7b26\u4e32\u4e2d\u63d0\u53d6\u6570\u636e\u3002\u901a\u8fc7\u4f7f\u7528re<\/code>\u6a21\u5757\uff0c\u60a8\u53ef\u4ee5\u5b9a\u4e49\u7279\u5b9a\u7684\u6a21\u5f0f\uff0c\u5982\u6570\u5b57\u3001\u5b57\u6bcd\u7ec4\u5408\u7b49\uff0c\u4ece\u800c\u7075\u6d3b\u5730\u63d0\u53d6\u6240\u9700\u4fe1\u606f\u3002\u8fd9\u79cd\u65b9\u6cd5\u5c24\u5176\u9002\u5408\u5904\u7406\u683c\u5f0f\u4e0d\u89c4\u5219\u6216\u7ed3\u6784\u590d\u6742\u7684\u6570\u636e\u3002<\/p>\n
\u5982\u4f55\u5904\u7406\u7a7a\u884c\u6216\u65e0\u6548\u6570\u636e\u4ee5\u786e\u4fdd\u6570\u636e\u63d0\u53d6\u7684\u51c6\u786e\u6027\uff1f<\/strong>
\u5728\u5904\u7406\u6587\u672c\u6570\u636e\u65f6\uff0c\u7a7a\u884c\u548c\u65e0\u6548\u6570\u636e\u662f\u5e38\u89c1\u95ee\u9898\u3002\u53ef\u4ee5\u5728\u8bfb\u53d6\u6bcf\u4e00\u884c\u65f6\uff0c\u4f7f\u7528\u6761\u4ef6\u8bed\u53e5\uff08\u5982if line.strip()<\/code>\uff09\u6765\u68c0\u67e5\u884c\u662f\u5426\u4e3a\u7a7a\u6216\u5305\u542b\u65e0\u6548\u5b57\u7b26\u3002\u6b64\u5916\uff0c\u4f7f\u7528\u5f02\u5e38\u5904\u7406\u673a\u5236\u53ef\u4ee5\u5e2e\u52a9\u6355\u6349\u548c\u5904\u7406\u6f5c\u5728\u7684\u9519\u8bef\uff0c\u786e\u4fdd\u6570\u636e\u63d0\u53d6\u8fc7\u7a0b\u7684\u987a\u5229\u8fdb\u884c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u4ece\u6bcf\u884c\u63d0\u53d6\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684\u591a\u79cd\u65b9\u6cd5\uff0c\u5982\u6b63\u5219\u8868\u8fbe\u5f0f\u3001\u5b57\u7b26\u4e32\u64cd\u4f5c\u3001pandas\u5e93\u7b49\u3002\u9996\u5148\uff0c\u6211\u4eec\u53ef\u4ee5 […]","protected":false},"author":3,"featured_media":1179058,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1179054"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1179054"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1179054\/revisions"}],"predecessor-version":[{"id":1179059,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1179054\/revisions\/1179059"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1179058"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1179054"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1179054"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1179054"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}