{"id":301,"date":"2019-11-28T15:20:00","date_gmt":"2019-11-28T07:20:00","guid":{"rendered":"https:\/\/kuo.us.to\/wordpress\/?p=301"},"modified":"2023-02-01T15:10:32","modified_gmt":"2023-02-01T07:10:32","slug":"python-pandas-%e7%b7%9a%e4%b8%8a%e8%ae%80%e5%8f%96%e9%ab%98%e9%9b%84%e5%b8%82%e4%b8%8d%e5%8b%95%e7%94%a2%e5%af%a6%e5%83%b9%e7%99%bb%e9%8c%84%e8%b3%87%e6%96%99%e8%88%87%e6%97%a5%e6%9c%9f%e8%99%95","status":"publish","type":"post","link":"https:\/\/kuo.us.to\/wordpress\/python%e5%ad%b8%e7%bf%92%e7%ad%86%e8%a8%98\/301\/","title":{"rendered":"Python Pandas \u7dda\u4e0a\u8b80\u53d6\u9ad8\u96c4\u5e02\u4e0d\u52d5\u7522\u5be6\u50f9\u767b\u9304\u8cc7\u6599\u8207\u65e5\u671f\u8655\u7406"},"content":{"rendered":"
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\u7dda\u4e0a\u8b80\u53d6\u9ad8\u96c4\u5e02\u4e0d\u52d5\u7522\u5be6\u50f9\u767b\u9304\u8cc7\u6599\u8207\u65e5\u671f\u8655\u7406<\/a><\/h2>\n

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<\/span>import<\/span> pandas<\/span> as<\/span> pd<\/span>\nurl<\/span>=<\/span>\"https:\/\/data.kcg.gov.tw\/dataset\/f91cb647-ab05-4474-9687-d918421ca3a4\/resource\/25c77fbc-950a-45eb-b91e-79b536fabae5\/download\/d00mei-yi03open-data-10801open-data1080401-1080630.xlsx\"<\/span>\ndf<\/span> =<\/span> pd<\/span>.<\/span>read_excel<\/span>(<\/span>url<\/span>)<\/span>\ndf<\/span>.<\/span>head<\/span>()<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Out[1]:<\/div>\n
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<\/th>\n\u7533\u5831\u7a2e\u985e<\/th>\n\u4ea4\u6613\u6a19\u7684\u7a2e\u985e<\/th>\n\u571f\u5730\u6578\u91cf<\/th>\n\u5efa\u7269\u6578\u91cf<\/th>\n\u8eca\u4f4d\u6578\u91cf<\/th>\n\u5e7e\u623f<\/th>\n\u5e7e\u5ef3<\/th>\n\u5e7e\u885b<\/th>\n\u6709\u7121\u9694\u9593<\/th>\n\u5efa\u7269\u578b\u614b<\/th>\n…<\/th>\n\u4ee3\u8868\u5efa\u865f\u4e3b\u8981\u5efa\u6750<\/th>\n\u4ee3\u8868\u5efa\u865f\u7e3d\u5c64\u6578<\/th>\n\u4ee3\u8868\u5efa\u865f\u5efa\u7bc9\u5b8c\u6210\u65e5\u671f<\/th>\n\u4ee3\u8868\u5efa\u865f\u5c4b\u9f61<\/th>\n\u4ee3\u8868\u5efa\u865f\u5c64\u6b21<\/th>\n\u8eca\u4f4d\u7e3d\u50f9\u683c<\/th>\n\u8eca\u4f4d\u7e3d\u6301\u5206\u9762\u7a4d<\/th>\n\u5730\u5efa\u865f\u7bc4\u570d<\/th>\n\u884c\u653f\u5340<\/th>\n\u5730\u6bb5<\/th>\n<\/tr>\n<\/thead>\n
0<\/th>\n\u8cb7\u8ce3<\/td>\n\u623f\u5730(\u571f\u5730+\u5efa\u7269)<\/td>\n1.0<\/td>\n1.0<\/td>\nNaN<\/td>\n3.0<\/td>\n2.0<\/td>\n2.0<\/td>\nY<\/td>\n\u4f4f\u5b85\u5927\u6a13(11F\u542b\u4ee5\u4e0a\u6709\u96fb\u68af)<\/td>\n…<\/td>\n\u898b\u5176\u5b83\u767b\u8a18\u4e8b\u9805<\/td>\n15.0<\/td>\n1070830.0<\/td>\n1.0<\/td>\n\u4e09\u5c64<\/td>\nNaN<\/td>\nNaN<\/td>\n\u5efa\u570b\u56db\u8def151~180\u865f<\/td>\n\u9e7d\u57d5\u5340<\/td>\n\u8208\u4ec1\u6bb5<\/td>\n<\/tr>\n
1<\/th>\n\u8cb7\u8ce3<\/td>\n\u623f\u5730(\u571f\u5730+\u5efa\u7269)+\u8eca\u4f4d<\/td>\n1.0<\/td>\n1.0<\/td>\n1.0<\/td>\n3.0<\/td>\n2.0<\/td>\n3.0<\/td>\nY<\/td>\n\u4f4f\u5b85\u5927\u6a13(11F\u542b\u4ee5\u4e0a\u6709\u96fb\u68af)<\/td>\n…<\/td>\n\u898b\u5176\u5b83\u767b\u8a18\u4e8b\u9805<\/td>\n15.0<\/td>\n1070830.0<\/td>\n1.0<\/td>\n\u4e03\u5c64<\/td>\n0.0<\/td>\n0.0<\/td>\n\u5efa\u570b\u56db\u8def151~180\u865f<\/td>\n\u9e7d\u57d5\u5340<\/td>\n\u8208\u4ec1\u6bb5<\/td>\n<\/tr>\n
2<\/th>\n\u8cb7\u8ce3<\/td>\n\u623f\u5730(\u571f\u5730+\u5efa\u7269)+\u8eca\u4f4d<\/td>\n1.0<\/td>\n1.0<\/td>\n1.0<\/td>\n3.0<\/td>\n2.0<\/td>\n2.0<\/td>\nY<\/td>\n\u4f4f\u5b85\u5927\u6a13(11F\u542b\u4ee5\u4e0a\u6709\u96fb\u68af)<\/td>\n…<\/td>\n\u898b\u5176\u5b83\u767b\u8a18\u4e8b\u9805<\/td>\n15.0<\/td>\n1070830.0<\/td>\n1.0<\/td>\n\u4e94\u5c64<\/td>\n0.0<\/td>\n0.0<\/td>\n\u5efa\u570b\u56db\u8def151~180\u865f<\/td>\n\u9e7d\u57d5\u5340<\/td>\n\u8208\u4ec1\u6bb5<\/td>\n<\/tr>\n
3<\/th>\n\u8cb7\u8ce3<\/td>\n\u623f\u5730(\u571f\u5730+\u5efa\u7269)+\u8eca\u4f4d<\/td>\n1.0<\/td>\n1.0<\/td>\n1.0<\/td>\n3.0<\/td>\n2.0<\/td>\n2.0<\/td>\nY<\/td>\n\u4f4f\u5b85\u5927\u6a13(11F\u542b\u4ee5\u4e0a\u6709\u96fb\u68af)<\/td>\n…<\/td>\n\u898b\u5176\u5b83\u767b\u8a18\u4e8b\u9805<\/td>\n15.0<\/td>\n1070830.0<\/td>\n1.0<\/td>\n\u5341\u4e00\u5c64<\/td>\n0.0<\/td>\n0.0<\/td>\n\u5efa\u570b\u56db\u8def151~180\u865f<\/td>\n\u9e7d\u57d5\u5340<\/td>\n\u8208\u4ec1\u6bb5<\/td>\n<\/tr>\n
4<\/th>\n\u8cb7\u8ce3<\/td>\n\u623f\u5730(\u571f\u5730+\u5efa\u7269)+\u8eca\u4f4d<\/td>\n1.0<\/td>\n1.0<\/td>\n1.0<\/td>\n3.0<\/td>\n2.0<\/td>\n2.0<\/td>\nY<\/td>\n\u4f4f\u5b85\u5927\u6a13(11F\u542b\u4ee5\u4e0a\u6709\u96fb\u68af)<\/td>\n…<\/td>\n\u898b\u5176\u5b83\u767b\u8a18\u4e8b\u9805<\/td>\n15.0<\/td>\n1070830.0<\/td>\n1.0<\/td>\n\u5341\u4e09\u5c64<\/td>\n0.0<\/td>\n0.0<\/td>\n\u5efa\u570b\u56db\u8def151~180\u865f<\/td>\n\u9e7d\u57d5\u5340<\/td>\n\u8208\u4ec1\u6bb5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
5 rows \u00d7 35 columns<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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\u9806\u5229\u8b80\u53d6\u8cc7\u6599\u5f8c\uff0c\u5148\u5217\u51fa\u6b04\u4f4d\u540d\u7a31<\/a><\/h3>\n
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In [2]:<\/div>\n
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<\/span>df<\/span>.<\/span>columns<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Out[2]:<\/div>\n
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Index(['\u7533\u5831\u7a2e\u985e', '\u4ea4\u6613\u6a19\u7684\u7a2e\u985e', '\u571f\u5730\u6578\u91cf', '\u5efa\u7269\u6578\u91cf', '\u8eca\u4f4d\u6578\u91cf', '\u5e7e\u623f', '\u5e7e\u5ef3', '\u5e7e\u885b', '\u6709\u7121\u9694\u9593',\n       '\u5efa\u7269\u578b\u614b', '\u623f\u5730\u7e3d\u50f9', '\u571f\u5730\u7e3d\u50f9', '\u5efa\u7269\u7e3d\u50f9', '\u8eca\u4f4d\u7e3d\u50f9', '\u6709\u7121\u7ba1\u7406\u7d44\u7e54', '\u4ea4\u6613\u65e5\u671f', '\u5099\u8a3b\u6b04',\n       '\u884c\u653f\u5340\u4ee3\u78bc', '\u4ee3\u8868\u6bb5\u865f', '\u571f\u5730\u79fb\u8f49\u9762\u7a4d(\u5e73\u65b9\u516c\u5c3a)', '\u4ee3\u8868\u5730\u865f\u90fd\u5e02\u571f\u5730\u4f7f\u7528\u5206\u5340', '\u4ee3\u8868\u5730\u865f\u975e\u90fd\u5e02\u571f\u5730\u4f7f\u7528\u5206\u5340',\n       '\u4ee3\u8868\u5730\u865f\u975e\u90fd\u5e02\u571f\u5730\u4f7f\u7528\u5730', '\u5efa\u7269\u79fb\u8f49\u9762\u7a4d(\u5e73\u65b9\u516c\u5c3a)', '\u4ee3\u8868\u5efa\u865f\u4e3b\u8981\u7528\u9014', '\u4ee3\u8868\u5efa\u865f\u4e3b\u8981\u5efa\u6750', '\u4ee3\u8868\u5efa\u865f\u7e3d\u5c64\u6578',\n       '\u4ee3\u8868\u5efa\u865f\u5efa\u7bc9\u5b8c\u6210\u65e5\u671f', '\u4ee3\u8868\u5efa\u865f\u5c4b\u9f61', '\u4ee3\u8868\u5efa\u865f\u5c64\u6b21', '\u8eca\u4f4d\u7e3d\u50f9\u683c', '\u8eca\u4f4d\u7e3d\u6301\u5206\u9762\u7a4d', '\u5730\u5efa\u865f\u7bc4\u570d', '\u884c\u653f\u5340',\n       '\u5730\u6bb5'],\n      dtype='object')<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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\u539f\u5148\u7684\u65e5\u671f\u662f\u6c11\u570b\u8868\u793a\uff1a<\/a><\/h3>\n
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In [3]:<\/div>\n
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<\/span>df<\/span>[<\/span>'\u4ea4\u6613\u65e5\u671f'<\/span>]<\/span>.<\/span>head<\/span>()<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Out[3]:<\/div>\n
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0    1080318\n1    1080318\n2    1080318\n3    1080318\n4    1080318\nName: \u4ea4\u6613\u65e5\u671f, dtype: int64<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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\u8f49\u63db\u70ba\u897f\u5143\u5e74\u6708\u65e5\uff1a<\/a><\/h4>\n
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In [4]:<\/div>\n
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<\/span>df<\/span>[<\/span>'\u4ea4\u6613\u65e5\u671f'<\/span>]<\/span> =<\/span> df<\/span>[<\/span>'\u4ea4\u6613\u65e5\u671f'<\/span>]<\/span>.<\/span>astype<\/span>(<\/span>str<\/span>)<\/span>\n#df['test'] = df['\u4ea4\u6613\u65e5\u671f'].str.slice(0,3)<\/span>\n#df['test']<\/span>\n#df['test'] = df['\u4ea4\u6613\u65e5\u671f'].str.slice(-7,-4).astype(int) + 1911<\/span>\n#df['\u4ea4\u6613\u65e5\u671f'] = df['test'].astype(str) + df['\u4ea4\u6613\u65e5\u671f'].str.slice(-4,-2) + df['\u4ea4\u6613\u65e5\u671f'].str.slice(-2, )<\/span>\ndf<\/span>[<\/span>'\u4ea4\u6613\u65e5\u671f'<\/span>]<\/span> =<\/span> (<\/span>df<\/span>[<\/span>'\u4ea4\u6613\u65e5\u671f'<\/span>]<\/span>.<\/span>str<\/span>.<\/span>slice<\/span>(<\/span>-<\/span>7<\/span>,<\/span>-<\/span>4<\/span>)<\/span>.<\/span>astype<\/span>(<\/span>int<\/span>)<\/span> +<\/span> 1911<\/span>)<\/span>.<\/span>astype<\/span>(<\/span>str<\/span>)<\/span> +<\/span> df<\/span>[<\/span>'\u4ea4\u6613\u65e5\u671f'<\/span>]<\/span>.<\/span>str<\/span>.<\/span>slice<\/span>(<\/span>-<\/span>4<\/span>,<\/span>-<\/span>2<\/span>)<\/span> +<\/span> df<\/span>[<\/span>'\u4ea4\u6613\u65e5\u671f'<\/span>]<\/span>.<\/span>str<\/span>.<\/span>slice<\/span>(<\/span>-<\/span>2<\/span>,<\/span> )<\/span>\ndf<\/span>[<\/span>'\u4ea4\u6613\u65e5\u671f'<\/span>]<\/span> =<\/span> pd<\/span>.<\/span>to_datetime<\/span>(<\/span>df<\/span>[<\/span>'\u4ea4\u6613\u65e5\u671f'<\/span>],<\/span> format<\/span>=<\/span>\"%Y%m<\/span>%d<\/span>\"<\/span> )<\/span>\ndf<\/span>[<\/span>'\u4ea4\u6613\u65e5\u671f'<\/span>]<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Out[4]:<\/div>\n
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0       2019-03-18\n1       2019-03-18\n2       2019-03-18\n3       2019-03-18\n4       2019-03-18\n           ...    \n11128   2019-04-16\n11129   2019-04-16\n11130   2019-04-16\n11131   2019-04-16\n11132   2019-04-16\nName: \u4ea4\u6613\u65e5\u671f, Length: 11133, dtype: datetime64[ns]<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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\u53d6\u5f97\u73fe\u5728\u7684\u6642\u9593\u5f8c\uff0c\u8a08\u7b97160\u5929\u524d\u7684\u65e5\u671f(2019-06-21)<\/a><\/h3>\n
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<\/span>import<\/span> datetime<\/span> as<\/span> dt<\/span>\nnow<\/span> =<\/span> dt<\/span>.<\/span>datetime<\/span>.<\/span>now<\/span>()<\/span> # \u53d6\u5f97\u76ee\u524d\u6642\u9593<\/span>\ntoday<\/span> =<\/span> dt<\/span>.<\/span>date<\/span>.<\/span>today<\/span>()<\/span> # \u53d6\u5f97\u4eca\u5929\u65e5\u671f<\/span>\n#date = dt.datetime.date() # \u53d6\u5f97\u76ee\u524d\u65e5\u671f\u6642\u9593<\/span>\ndelta<\/span> =<\/span> dt<\/span>.<\/span>timedelta<\/span>(<\/span>days<\/span>=-<\/span>160<\/span>)<\/span>\nn_days<\/span> =<\/span> today<\/span> +<\/span> delta<\/span>\n\nprint<\/span>(<\/span>\"\u76ee\u524d\u6642\u9593\uff1a\"<\/span>,<\/span> now<\/span>)<\/span>\nprint<\/span>(<\/span>\"\u76ee\u524d\u65e5\u671f\uff1a\"<\/span>,<\/span> today<\/span>)<\/span>\nprint<\/span>(<\/span>delta<\/span>,<\/span> \"\u5929\u7684\u65e5\u671f\u70ba\uff1a\"<\/span>,<\/span> n_days<\/span>)<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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\u76ee\u524d\u6642\u9593\uff1a 2019-11-28 15:22:12.908443\n\u76ee\u524d\u65e5\u671f\uff1a 2019-11-28\n-160 days, 0:00:00 \u5929\u7684\u65e5\u671f\u70ba\uff1a 2019-06-21\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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In [6]:<\/div>\n
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<\/span>df<\/span>[<\/span>df<\/span>[<\/span>'\u4ea4\u6613\u65e5\u671f'<\/span>]<\/span>==<\/span>n_days<\/span>]<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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c:userssuperuserminiconda3libsite-packagesipykernel_launcher.py:1: FutureWarning: Comparing Series of datetimes with 'datetime.date'.  Currently, the\n'datetime.date' is coerced to a datetime. In the future pandas will\nnot coerce, and 'the values will not compare equal to the\n'datetime.date'. To retain the current behavior, convert the\n'datetime.date' to a datetime with 'pd.Timestamp'.\n  \"\"\"Entry point for launching an IPython kernel.\n<\/pre>\n<\/div>\n<\/div>\n
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<\/th>\n\u7533\u5831\u7a2e\u985e<\/th>\n\u4ea4\u6613\u6a19\u7684\u7a2e\u985e<\/th>\n\u571f\u5730\u6578\u91cf<\/th>\n\u5efa\u7269\u6578\u91cf<\/th>\n\u8eca\u4f4d\u6578\u91cf<\/th>\n\u5e7e\u623f<\/th>\n\u5e7e\u5ef3<\/th>\n\u5e7e\u885b<\/th>\n\u6709\u7121\u9694\u9593<\/th>\n\u5efa\u7269\u578b\u614b<\/th>\n…<\/th>\n\u4ee3\u8868\u5efa\u865f\u4e3b\u8981\u5efa\u6750<\/th>\n\u4ee3\u8868\u5efa\u865f\u7e3d\u5c64\u6578<\/th>\n\u4ee3\u8868\u5efa\u865f\u5efa\u7bc9\u5b8c\u6210\u65e5\u671f<\/th>\n\u4ee3\u8868\u5efa\u865f\u5c4b\u9f61<\/th>\n\u4ee3\u8868\u5efa\u865f\u5c64\u6b21<\/th>\n\u8eca\u4f4d\u7e3d\u50f9\u683c<\/th>\n\u8eca\u4f4d\u7e3d\u6301\u5206\u9762\u7a4d<\/th>\n\u5730\u5efa\u865f\u7bc4\u570d<\/th>\n\u884c\u653f\u5340<\/th>\n\u5730\u6bb5<\/th>\n<\/tr>\n<\/thead>\n
83<\/th>\n\u8cb7\u8ce3<\/td>\n\u5efa\u7269<\/td>\nNaN<\/td>\n1.0<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nN<\/td>\n\u4f4f\u5b85\u5927\u6a13(11F\u542b\u4ee5\u4e0a\u6709\u96fb\u68af)<\/td>\n…<\/td>\n\u92fc\u7b4b\u6df7\u51dd\u571f\u9020<\/td>\n12.0<\/td>\n700114.0<\/td>\n38.0<\/td>\n\u4e5d\u5c64<\/td>\nNaN<\/td>\nNaN<\/td>\n\u5e9c\u5317\u8def31~60\u865f<\/td>\n\u9e7d\u57d5\u5340<\/td>\n\u5e9c\u5317\u6bb5\u4e94\u5c0f\u6bb5<\/td>\n<\/tr>\n
8150<\/th>\n\u8cb7\u8ce3<\/td>\n\u623f\u5730(\u571f\u5730+\u5efa\u7269)<\/td>\n2.0<\/td>\n1.0<\/td>\nNaN<\/td>\n5.0<\/td>\n2.0<\/td>\n5.0<\/td>\nY<\/td>\n\u900f\u5929\u539d<\/td>\n…<\/td>\n\u92fc\u7b4b\u6df7\u51dd\u571f\u9020<\/td>\n3.0<\/td>\n1030121.0<\/td>\n5.0<\/td>\n\u4e00\u5c64;\u4e8c\u5c64;\u4e09\u5c64;\u5c4b\u9802\u7a81\u51fa\u7269<\/td>\nNaN<\/td>\nNaN<\/td>\n\u5927\u667a\u8857151~180\u865f<\/td>\n\u5927\u5bee\u5340<\/td>\n\u5f8c\u58c1\u5bee\u6bb5<\/td>\n<\/tr>\n
10779<\/th>\n\u8cb7\u8ce3<\/td>\n\u571f\u5730<\/td>\n1.0<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nY<\/td>\nNaN<\/td>\n…<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\n\u8d64\u5d01\u65b0\u6bb5241~270\u5730\u865f<\/td>\n\u6893\u5b98\u5340<\/td>\n\u8d64\u5d01\u65b0\u6bb5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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\u4e0a\u9762\u7684\u65b9\u5f0f\u8a08\u7b97\u51fa\u4f86\u6703\u6709\u8b66\u544a\uff0c\u6539\u6210\u7528Timestamp\u7684\u65b9\u5f0f<\/a><\/h3>\n
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<\/span>import<\/span> datetime<\/span> as<\/span> dt<\/span>\nnow<\/span> =<\/span> dt<\/span>.<\/span>datetime<\/span>.<\/span>now<\/span>()<\/span> # \u53d6\u5f97\u76ee\u524d\u6642\u9593<\/span>\ntoday<\/span> =<\/span> dt<\/span>.<\/span>date<\/span>.<\/span>today<\/span>()<\/span> # \u53d6\u5f97\u4eca\u5929\u65e5\u671f<\/span>\ndelta<\/span> =<\/span> pd<\/span>.<\/span>Timedelta<\/span>(<\/span>days<\/span>=-<\/span>160<\/span>)<\/span>\n#n_days = today + delta<\/span>\nn_days<\/span> =<\/span> pd<\/span>.<\/span>Timestamp<\/span>(<\/span> today<\/span> +<\/span> delta<\/span> )<\/span>\nprint<\/span>(<\/span>\"\u76ee\u524d\u6642\u9593\uff1a\"<\/span>,<\/span> now<\/span>)<\/span>\nprint<\/span>(<\/span>\"\u76ee\u524d\u65e5\u671f\uff1a\"<\/span>,<\/span> today<\/span>)<\/span>\nprint<\/span>(<\/span>delta<\/span>,<\/span> \"\u5929\u7684\u65e5\u671f\u70ba\uff1a\"<\/span>,<\/span> n_days<\/span>)<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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\u76ee\u524d\u6642\u9593\uff1a 2019-11-28 15:22:13.091156\n\u76ee\u524d\u65e5\u671f\uff1a 2019-11-28\n-160 days +00:00:00 \u5929\u7684\u65e5\u671f\u70ba\uff1a 2019-06-21 00:00:00\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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\u518d\u6b21\u627e\u51fa160\u5929\u524d\u7684\u4ea4\u6613\u65e5\u671f\u8cc7\u6599\uff0c\u9019\u6b21\u5c31\u6c92\u8b66\u544a\u8a0a\u606f\u4e86<\/a><\/h3>\n
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<\/span>df<\/span>[<\/span>df<\/span>[<\/span>'\u4ea4\u6613\u65e5\u671f'<\/span>]<\/span>==<\/span>n_days<\/span>]<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Out[8]:<\/div>\n
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<\/th>\n\u7533\u5831\u7a2e\u985e<\/th>\n\u4ea4\u6613\u6a19\u7684\u7a2e\u985e<\/th>\n\u571f\u5730\u6578\u91cf<\/th>\n\u5efa\u7269\u6578\u91cf<\/th>\n\u8eca\u4f4d\u6578\u91cf<\/th>\n\u5e7e\u623f<\/th>\n\u5e7e\u5ef3<\/th>\n\u5e7e\u885b<\/th>\n\u6709\u7121\u9694\u9593<\/th>\n\u5efa\u7269\u578b\u614b<\/th>\n…<\/th>\n\u4ee3\u8868\u5efa\u865f\u4e3b\u8981\u5efa\u6750<\/th>\n\u4ee3\u8868\u5efa\u865f\u7e3d\u5c64\u6578<\/th>\n\u4ee3\u8868\u5efa\u865f\u5efa\u7bc9\u5b8c\u6210\u65e5\u671f<\/th>\n\u4ee3\u8868\u5efa\u865f\u5c4b\u9f61<\/th>\n\u4ee3\u8868\u5efa\u865f\u5c64\u6b21<\/th>\n\u8eca\u4f4d\u7e3d\u50f9\u683c<\/th>\n\u8eca\u4f4d\u7e3d\u6301\u5206\u9762\u7a4d<\/th>\n\u5730\u5efa\u865f\u7bc4\u570d<\/th>\n\u884c\u653f\u5340<\/th>\n\u5730\u6bb5<\/th>\n<\/tr>\n<\/thead>\n
83<\/th>\n\u8cb7\u8ce3<\/td>\n\u5efa\u7269<\/td>\nNaN<\/td>\n1.0<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nN<\/td>\n\u4f4f\u5b85\u5927\u6a13(11F\u542b\u4ee5\u4e0a\u6709\u96fb\u68af)<\/td>\n…<\/td>\n\u92fc\u7b4b\u6df7\u51dd\u571f\u9020<\/td>\n12.0<\/td>\n700114.0<\/td>\n38.0<\/td>\n\u4e5d\u5c64<\/td>\nNaN<\/td>\nNaN<\/td>\n\u5e9c\u5317\u8def31~60\u865f<\/td>\n\u9e7d\u57d5\u5340<\/td>\n\u5e9c\u5317\u6bb5\u4e94\u5c0f\u6bb5<\/td>\n<\/tr>\n
8150<\/th>\n\u8cb7\u8ce3<\/td>\n\u623f\u5730(\u571f\u5730+\u5efa\u7269)<\/td>\n2.0<\/td>\n1.0<\/td>\nNaN<\/td>\n5.0<\/td>\n2.0<\/td>\n5.0<\/td>\nY<\/td>\n\u900f\u5929\u539d<\/td>\n…<\/td>\n\u92fc\u7b4b\u6df7\u51dd\u571f\u9020<\/td>\n3.0<\/td>\n1030121.0<\/td>\n5.0<\/td>\n\u4e00\u5c64;\u4e8c\u5c64;\u4e09\u5c64;\u5c4b\u9802\u7a81\u51fa\u7269<\/td>\nNaN<\/td>\nNaN<\/td>\n\u5927\u667a\u8857151~180\u865f<\/td>\n\u5927\u5bee\u5340<\/td>\n\u5f8c\u58c1\u5bee\u6bb5<\/td>\n<\/tr>\n
10779<\/th>\n\u8cb7\u8ce3<\/td>\n\u571f\u5730<\/td>\n1.0<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nY<\/td>\nNaN<\/td>\n…<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\nNaN<\/td>\n\u8d64\u5d01\u65b0\u6bb5241~270\u5730\u865f<\/td>\n\u6893\u5b98\u5340<\/td>\n\u8d64\u5d01\u65b0\u6bb5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
3 rows \u00d7 35 columns<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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\u7dda\u4e0a\u8b80\u53d6\u9ad8\u96c4\u5e02\u4e0d\u52d5\u7522\u5be6\u50f9\u767b\u9304\u8cc7\u6599\u8207\u65e5\u671f\u8655\u7406 In [1]: import pandas as pd  […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"advgb_blocks_editor_width":"","advgb_blocks_columns_visual_guide":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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