![\"\"\/](\"https:\/\/miro.medium.com\/v2\/resize:fit:1046\/1*Q1dnrwEI25c0Eu0KogurfA.png\")
<\/figure>\n\n\n\n\u5f88\u597d<\/p>\n\n\n\n
\u7e7c\u7e8c\u6e2c\u8a66 ChatGPT \u4f5c\u70ba Python \u7d42\u7aef\u7684\u6975\u9650<\/p>\n\n\n\n
\u9019\u6b21\u6211\u5011\u5c08\u6ce8\u65bc\u6a21\u7d44\u3002<\/p>\n\n\n\n
\u8b93\u6211\u5011\u770b\u770b ChatGPT \u662f\u5426\u53ef\u4ee5\u8655\u7406\u6700\u5e38\u7528\u7684\u6a21\u7d44\u4e4b\u4e00\uff0c\u5373\u201cnumpy\u201d\u6a21\u7d44\u3002<\/p>\n\n\n\n
import numpy as np
print(np.sort([3,2,4,5,1]))<\/pre>\n\n\n\n![\"\"\/](\"https:\/\/miro.medium.com\/v2\/resize:fit:1050\/1*XoNYOuCJBbPzdXLLMitqJg.png\")
<\/figure>\n\n\n\n\u8b93\u6211\u5011\u6aa2\u67e5\u4e00\u4e0b\u6211\u5011\u662f\u5426\u4e5f\u53ef\u4ee5\u4f7f\u7528 Pandas \u6a21\u7d44\u3002<\/p>\n\n\n\n
<\/span>Prompt:<\/span><\/h1>\n\n\n\nimport numpy as np
import pandas as pd
s = pd.Series([1, 3, 5, np.nan, 6, 8])
print(s)<\/pre>\n\n\n\n![\"\"\/](\"https:\/\/miro.medium.com\/v2\/resize:fit:945\/1*4VYhguN96cCtVZoFrKEPpg.png\")
<\/figure>\n\n\n\n\u5728\u8003\u4ed6\u96e3\u4e00\u9ede\u7684:<\/p>\n\n\n\n
<\/span>Prompt:<\/span><\/h1>\n\n\n\nimport numpy as np
import pandas as pd
s = pd.DataFrame(np.random.normal(size=(10,5)),columns=['A','B','C','D','E'])
s['AVG'] = s.mean(axis=1)
print(s)<\/pre>\n\n\n\n![\"\"\/](\"https:\/\/miro.medium.com\/v2\/resize:fit:1050\/1*a_PbtieId4hLXiu8k5EJ_A.png\")
<\/figure>\n\n\n\n\u518d\u4f86\u770b\u770b\u80fd\u4e0d\u80fd\u4f7f\u7528sklearn\u5957\u4ef6<\/p>\n\n\n\n
<\/span>Prompt:<\/span><\/h1>\n\n\n\nimport numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
s = pd.DataFrame(np.random.normal(size=(10,5)),columns=['A','B','C','D','E'])
s['AVG'] = s.mean(axis=1)
model = LinearRegression()
y_col = 'AVG'
X = s.drop([y_col],axis=1)
y = s[y_col]
model.fit(X,y)
print(model.score(X,y))<\/pre>\n\n\n\n![\"\"\/](\"https:\/\/miro.medium.com\/v2\/resize:fit:1050\/1*J_XO-sfYrcQhd3CSqzeuaQ.png\")
<\/figure>\n\n\n\n\u8cbc\u4e00\u6a23\u7684\u4ee3\u78bc\u5230COLAB\u770b\u770b\u7d50\u679c\u662f\u5426\u4e00\u6a23<\/p>\n\n\n\n![\"\"\/](\"https:\/\/miro.medium.com\/v2\/resize:fit:1050\/1*Ftisx9FmBMpZ96sIcThRfw.png\")
<\/figure>\n\n\n\n\u597d\u4e86\uff0c\u6211\u5011\u7684 Python \u7d42\u7aef\u4eff\u771f\u5668\u6307\u5357\u8207 ChatGPT \u5230\u6b64\u7d50\u675f\uff01<\/p>\n\n\n\n
\u8b49\u5be6\u4e86\u5169\u4ef6\u4e8b\u60c5chatgpt\u53ef\u4ee5\u6a21\u4effpython\u7684\u884c\u70ba\u4e0d\u904e\u6a21\u4eff\u7d42\u7a76\u662f\u6a21\u4eff<\/p>\n\n\n\n
\u4ed6\u7562\u7adf\u9084\u662f\u4e00\u500b\u8a9e\u8a00\u6a21\u578b,\u4e00\u65e6\u727d\u6d89\u5230\u6bd4\u8f03\u8907\u96dc\u7684\u6578\u5b78\u904b\u7b97\u884c\u70ba\u4f8b\u5982\u7dda\u6027\u56de\u6b78<\/p>\n\n\n\n
\u4ed6\u6703\u8868\u73fe\u51fa\u770b\u4f3c\u6210\u529f\u57f7\u884c\u4f46\u5be6\u969b\u4e0a\u57f7\u884c\u7d50\u679c\u662f\u932f\u7684\u60c5\u6cc1<\/p>\n\n\n\n
<\/span>\u7d50\u8ad6:<\/span><\/h1>\n\n\n\nchatgpt\u76ee\u524d\u4f86\u8b1b\u9084\u662f\u4e00\u500b\u6587\u7d44\u5b78\u751f,\u4ed6\u7531openai\u516c\u53f8\u9935\u7d66\u4ed6\u5927\u91cf\u6587\u672c\u8cc7\u6599<\/p>\n\n\n\n
\u7149\u88fd\u800c\u6210,\u4f46\u662f\u4ed6\u7d42\u7a76\u6c92\u8fa6\u6cd5\u7cbe\u78ba\u9032\u884c\u6578\u5b78\u904b\u7b97<\/p>\n\n\n\n
\u4e0d\u904e\u4e5f\u8a31\u672a\u4f86\u8ddf\u5fae\u8edf\u5408\u4f5c\u767c\u5c55\u4ee5\u5f8c\u662f\u6709\u53ef\u80fd\u52a0\u5f37\u9019\u9ede\u7684<\/p>\n\n\n\n
\u4f86\u6e90\uff1ahttps:\/\/medium.com\/@skywalker0803r\/<\/p>\n","protected":false},"excerpt":{"rendered":"
ChatGPT \u7684\u5e6b\u52a9\u4e0b\uff0c\u53ef\u4ee5\u69cb\u5efa\u4e00\u500b\u529f\u80fd\u5b8c\u5099\u7684 Python \u7d42\u7aef\u6a21\u64ec\u5668<\/p>\n","protected":false},"author":19,"featured_media":21870,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[1196,173],"tags":[779,1752],"class_list":["post-21869","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-","category-173","tag-python","tag-chatgpt"],"aioseo_notices":[],"views":1292,"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/blog.tibame.com\/index.php?rest_route=\/wp\/v2\/posts\/21869","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.tibame.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.tibame.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.tibame.com\/index.php?rest_route=\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.tibame.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=21869"}],"version-history":[{"count":3,"href":"https:\/\/blog.tibame.com\/index.php?rest_route=\/wp\/v2\/posts\/21869\/revisions"}],"predecessor-version":[{"id":24080,"href":"https:\/\/blog.tibame.com\/index.php?rest_route=\/wp\/v2\/posts\/21869\/revisions\/24080"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.tibame.com\/index.php?rest_route=\/wp\/v2\/media\/21870"}],"wp:attachment":[{"href":"https:\/\/blog.tibame.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=21869"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.tibame.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=21869"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.tibame.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=21869"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}