{"id":1108638,"date":"2025-01-08T17:02:14","date_gmt":"2025-01-08T09:02:14","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1108638.html"},"modified":"2025-01-08T17:02:18","modified_gmt":"2025-01-08T09:02:18","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e5%81%9a%e4%b8%80%e4%b8%aa%e7%ae%80%e5%8d%95%e8%af%be%e8%a1%a8","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1108638.html","title":{"rendered":"\u5982\u4f55\u7528Python\u505a\u4e00\u4e2a\u7b80\u5355\u8bfe\u8868"},"content":{"rendered":"

\"\u5982\u4f55\u7528Python\u505a\u4e00\u4e2a\u7b80\u5355\u8bfe\u8868\"<\/p>\n

\u4f7f\u7528Python\u505a\u4e00\u4e2a\u7b80\u5355\u8bfe\u8868\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528\u5217\u8868\u3001\u5b57\u5178\u3001Pandas\u5e93\u6216SQLite\u6570\u636e\u5e93\u6765\u5b58\u50a8\u548c\u7ba1\u7406\u8bfe\u7a0b\u4fe1\u606f\u3002\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Pandas\u5e93\u5b9e\u73b0\u4e00\u4e2a\u7b80\u5355\u7684\u8bfe\u8868\u3002<\/strong><\/p>\n<\/p>\n

Pandas\u5e93\u662fPython\u4e2d\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u5904\u7406\u7684\u5f3a\u5927\u5de5\u5177\u3002\u901a\u8fc7Pandas\u5e93\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u521b\u5efa\u3001\u4fee\u6539\u548c\u5c55\u793a\u8bfe\u8868\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n

\n

\u4e00\u3001\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/h2>\n<\/p>\n

\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u5bfc\u5165Python\u4e2d\u7684Pandas\u5e93\u3002\u5982\u679c\u5c1a\u672a\u5b89\u88c5Pandas\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528pip<\/code>\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5bfc\u5165Pandas\u5e93\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u521b\u5efa\u8bfe\u8868\u6570\u636e<\/h2>\n<\/p>\n
\u9996\u5148\uff0c\u6211\u4eec\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u8bfe\u7a0b\u4fe1\u606f\u7684\u5217\u8868\u3002\u6bcf\u95e8\u8bfe\u7a0b\u7684\u4fe1\u606f\u5305\u62ec\u8bfe\u7a0b\u540d\u79f0\u3001\u661f\u671f\u51e0\u3001\u4e0a\u8bfe\u65f6\u95f4\u548c\u6559\u5ba4\u3002<\/p>\n<\/p>\n
data = {<\/p>\n
    '\u8bfe\u7a0b\u540d\u79f0': ['\u6570\u5b66', '\u82f1\u8bed', '\u7269\u7406', '\u5316\u5b66', '\u751f\u7269'],<\/p>\n
    '\u661f\u671f\u51e0': ['\u661f\u671f\u4e00', '\u661f\u671f\u4e8c', '\u661f\u671f\u4e09', '\u661f\u671f\u56db', '\u661f\u671f\u4e94'],<\/p>\n
    '\u4e0a\u8bfe\u65f6\u95f4': ['8:00-9:30', '10:00-11:30', '13:00-14:30', '15:00-16:30', '17:00-18:30'],<\/p>\n
    '\u6559\u5ba4': ['101', '102', '103', '104', '105']<\/p>\n
}<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u521b\u5efaDataFrame<\/h2>\n<\/p>\n
\u4f7f\u7528Pandas\u5e93\u4e2d\u7684DataFrame<\/code>\u521b\u5efa\u8bfe\u8868\uff1a<\/p>\n<\/p>\n
df = pd.DataFrame(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u5c55\u793a\u8bfe\u8868<\/h2>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528print<\/code>\u51fd\u6570\u6765\u5c55\u793a\u8bfe\u8868\uff1a<\/p>\n<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\u5c06\u662f\u4e00\u4e2a\u6574\u9f50\u7684\u8868\u683c\uff1a<\/p>\n<\/p>\n
  \u8bfe\u7a0b\u540d\u79f0   \u661f\u671f\u51e0       \u4e0a\u8bfe\u65f6\u95f4  \u6559\u5ba4<\/p>\n
0  \u6570\u5b66  \u661f\u671f\u4e00  8:00-9:30  101<\/p>\n
1  \u82f1\u8bed  \u661f\u671f\u4e8c 10:00-11:30  102<\/p>\n
2  \u7269\u7406  \u661f\u671f\u4e09 13:00-14:30  103<\/p>\n
3  \u5316\u5b66  \u661f\u671f\u56db 15:00-16:30  104<\/p>\n
4  \u751f\u7269  \u661f\u671f\u4e94 17:00-18:30  105<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u4fdd\u5b58\u8bfe\u8868<\/h2>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u5c06\u8bfe\u8868\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff0c\u4ee5\u4fbf\u65e5\u540e\u67e5\u770b\u6216\u4fee\u6539\uff1a<\/p>\n<\/p>\n
df.to_csv('\u8bfe\u8868.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u8bfb\u53d6\u8bfe\u8868<\/h2>\n<\/p>\n
\u5982\u679c\u9700\u8981\u8bfb\u53d6\u4e4b\u524d\u4fdd\u5b58\u7684\u8bfe\u8868\uff0c\u53ef\u4ee5\u4f7f\u7528read_csv<\/code>\u51fd\u6570\uff1a<\/p>\n<\/p>\n
df = pd.read_csv('\u8bfe\u8868.csv')<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u4fee\u6539\u8bfe\u8868<\/h2>\n<\/p>\n
\u5982\u679c\u9700\u8981\u4fee\u6539\u67d0\u95e8\u8bfe\u7a0b\u7684\u4fe1\u606f\uff0c\u4f8b\u5982\u66f4\u6539\u6559\u5ba4\u6216\u4e0a\u8bfe\u65f6\u95f4\uff0c\u53ef\u4ee5\u76f4\u63a5\u4fee\u6539DataFrame\u4e2d\u7684\u6570\u636e\uff1a<\/p>\n<\/p>\n
df.loc[df['\u8bfe\u7a0b\u540d\u79f0'] == '\u6570\u5b66', '\u6559\u5ba4'] = '201'<\/p>\n
df.loc[df['\u8bfe\u7a0b\u540d\u79f0'] == '\u82f1\u8bed', '\u4e0a\u8bfe\u65f6\u95f4'] = '9:00-10:30'<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516b\u3001\u6dfb\u52a0\u65b0\u8bfe\u7a0b<\/h2>\n<\/p>\n
\u5982\u679c\u9700\u8981\u6dfb\u52a0\u65b0\u8bfe\u7a0b\uff0c\u53ef\u4ee5\u4f7f\u7528append<\/code>\u51fd\u6570\uff1a<\/p>\n<\/p>\n
new_course = pd.DataFrame({<\/p>\n
    '\u8bfe\u7a0b\u540d\u79f0': ['\u5386\u53f2'],<\/p>\n
    '\u661f\u671f\u51e0': ['\u661f\u671f\u516d'],<\/p>\n
    '\u4e0a\u8bfe\u65f6\u95f4': ['8:00-9:30'],<\/p>\n
    '\u6559\u5ba4': ['106']<\/p>\n
})<\/p>\n
df = df.append(new_course, ignore_index=True)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e5d\u3001\u5220\u9664\u8bfe\u7a0b<\/h2>\n<\/p>\n
\u5982\u679c\u9700\u8981\u5220\u9664\u67d0\u95e8\u8bfe\u7a0b\uff0c\u53ef\u4ee5\u4f7f\u7528drop<\/code>\u51fd\u6570\uff1a<\/p>\n<\/p>\n
df = df.drop(df[df['\u8bfe\u7a0b\u540d\u79f0'] == '\u7269\u7406'].index)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u3001\u6392\u5e8f\u8bfe\u8868<\/h2>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u67d0\u4e00\u5217\u5bf9\u8bfe\u8868\u8fdb\u884c\u6392\u5e8f\uff0c\u4f8b\u5982\u6839\u636e\u661f\u671f\u51e0\u6392\u5e8f\uff1a<\/p>\n<\/p>\n
weekdays = {'\u661f\u671f\u4e00': 1, '\u661f\u671f\u4e8c': 2, '\u661f\u671f\u4e09': 3, '\u661f\u671f\u56db': 4, '\u661f\u671f\u4e94': 5, '\u661f\u671f\u516d': 6, '\u661f\u671f\u65e5': 7}<\/p>\n
df['\u661f\u671f\u51e0'] = df['\u661f\u671f\u51e0'].map(weekdays)<\/p>\n
df = df.sort_values(by='\u661f\u671f\u51e0')<\/p>\n
df['\u661f\u671f\u51e0'] = df['\u661f\u671f\u51e0'].map({v: k for k, v in weekdays.items()})<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\n
\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Python\u548cPandas\u5e93\u8f7b\u677e\u521b\u5efa\u548c\u7ba1\u7406\u4e00\u4e2a\u7b80\u5355\u7684\u8bfe\u8868\u3002Pandas\u5e93\u7684\u5f3a\u5927\u529f\u80fd\u4f7f\u5f97\u6570\u636e\u5904\u7406\u53d8\u5f97\u66f4\u52a0\u7b80\u5355\u548c\u9ad8\u6548<\/strong>\uff0c\u65e0\u8bba\u662f\u521b\u5efa\u3001\u4fee\u6539\u3001\u4fdd\u5b58\u8fd8\u662f\u8bfb\u53d6\u8bfe\u8868\u6570\u636e\uff0c\u90fd\u80fd\u8f7b\u677e\u5b9e\u73b0\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\uff0c\u795d\u4f60\u5b66\u4e60\u6109\u5feb\uff01<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u8bfe\u8868\uff1f<\/strong>
\u4f7f\u7528Python\u521b\u5efa\u8bfe\u8868\u7684\u57fa\u672c\u6b65\u9aa4\u5305\u62ec\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u7ed3\u6784\u4ee5\u5b58\u50a8\u8bfe\u7a0b\u4fe1\u606f\uff0c\u8bbe\u8ba1\u7528\u6237\u754c\u9762\u4ee5\u5c55\u793a\u8bfe\u8868\uff0c\u4ee5\u53ca\u5b9e\u73b0\u589e\u3001\u5220\u3001\u6539\u3001\u67e5\u529f\u80fd\u3002\u53ef\u4ee5\u4f7f\u7528\u5b57\u5178\u6216\u5217\u8868\u6765\u5b58\u50a8\u8bfe\u7a0b\u6570\u636e\uff0c\u5e76\u5229\u7528\u5e93\u5982Tkinter\u6216Flask\u6765\u6784\u5efa\u7528\u6237\u754c\u9762\u3002<\/p>\n
\u6211\u9700\u8981\u54ea\u4e9bPython\u5e93\u6765\u5b9e\u73b0\u8bfe\u8868\u529f\u80fd\uff1f<\/strong>
\u53ef\u4ee5\u4f7f\u7528\u6807\u51c6\u5e93\u4e2d\u7684datetime<\/code>\u6765\u5904\u7406\u65f6\u95f4\u76f8\u5173\u95ee\u9898\uff0cpandas<\/code>\u6765\u65b9\u4fbf\u5730\u64cd\u4f5c\u548c\u5206\u6790\u6570\u636e\uff0c\u751a\u81f3\u53ef\u4ee5\u4f7f\u7528matplotlib<\/code>\u6765\u53ef\u89c6\u5316\u8bfe\u7a0b\u5b89\u6392\u3002\u6b64\u5916\uff0cTkinter<\/code>\u6216Flask<\/code>\u7b49\u5e93\u53ef\u4ee5\u5e2e\u52a9\u6784\u5efa\u7528\u6237\u4ea4\u4e92\u754c\u9762\u3002<\/p>\n
\u5982\u4f55\u5728\u8bfe\u8868\u4e2d\u6dfb\u52a0\u548c\u5220\u9664\u8bfe\u7a0b\uff1f<\/strong>
\u6dfb\u52a0\u8bfe\u7a0b\u53ef\u4ee5\u901a\u8fc7\u5b9a\u4e49\u4e00\u4e2a\u51fd\u6570\u6765\u63a5\u6536\u8bfe\u7a0b\u4fe1\u606f\u5e76\u5c06\u5176\u5b58\u50a8\u5230\u6570\u636e\u7ed3\u6784\u4e2d\u3002\u800c\u5220\u9664\u8bfe\u7a0b\u5219\u53ef\u4ee5\u901a\u8fc7\u8bfe\u7a0b\u540d\u79f0\u6216\u8bfe\u7a0bID\u627e\u5230\u5bf9\u5e94\u7684\u6761\u76ee\u5e76\u5c06\u5176\u79fb\u9664\u3002\u5efa\u8bae\u5728\u5b9e\u73b0\u8fd9\u4e9b\u529f\u80fd\u65f6\uff0c\u786e\u4fdd\u6709\u7528\u6237\u8f93\u5165\u9a8c\u8bc1\uff0c\u4ee5\u907f\u514d\u4e0d\u5fc5\u8981\u7684\u9519\u8bef\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u505a\u4e00\u4e2a\u7b80\u5355\u8bfe\u8868\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528\u5217\u8868\u3001\u5b57\u5178\u3001Pandas\u5e93\u6216SQLite\u6570\u636e\u5e93\u6765\u5b58\u50a8\u548c […]","protected":false},"author":3,"featured_media":1108646,"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\/1108638"}],"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=1108638"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1108638\/revisions"}],"predecessor-version":[{"id":1108647,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1108638\/revisions\/1108647"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1108646"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1108638"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1108638"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1108638"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}