{"id":1500,"date":"2021-05-17T10:47:26","date_gmt":"2021-05-17T10:47:26","guid":{"rendered":"https:\/\/www.ipcpu.com\/?p=1500"},"modified":"2021-08-19T03:16:18","modified_gmt":"2021-08-19T03:16:18","slug":"pandas-dataframe","status":"publish","type":"post","link":"https:\/\/c.ipcpu.com\/2021\/05\/pandas-dataframe\/","title":{"rendered":"pandas\u57fa\u7840-DataFrame\u6570\u636e\u7ed3\u6784\u521b\u5efa\u3001\u8bbf\u95ee\u3001\u6570\u636e\u9009\u53d6"},"content":{"rendered":"

\u4e00\u3001\u6982\u8ff0<\/h2>\n

Pandas\u662f\u57fa\u4e8ePython\u8bed\u8a00\u7684\u4e00\u4e2a\u6570\u636e\u5206\u6790\u5e93\uff0c\u521d\u671f\u4e3b\u8981\u7531WesMcKinney\u5148\u751f\u57282008\u5f00\u53d1\u63a8\u51fa\uff0c\u5e76\u4e8e2009\u5e74\u5f00\u6e90\u3002\u8be5\u5de5\u5177\u7684\u8bbe\u8ba1\u4e4b\u521d\u662f\u7528\u4e8e\u91d1\u878d\u6570\u636e\u7684\u5206\u6790\u5904\u7406\uff0c\u6240\u4ee5\u5728\u57fa\u4e8e\u65f6\u95f4\u5e8f\u5217\u7684\u5206\u6790\u529f\u80fd\u5c24\u4e3a\u5f3a\u5927\u3002Pandas\u7684\u540d\u79f0PanelData\uff08\u9762\u677f\u6570\u636e\uff09\u548cDataAnalysis\uff08\u6570\u636e\u5206\u6790\uff09\u7684\u7ed3\u5408\u4f53\uff0c\u5f53\u7136\u5728\u4e2d\u56fd\uff0c\u89e3\u91ca\u6210\u56fd\u5b9d\u5927\u718a\u732b\u4e5f\u662f\u5927\u5bb6\u7684\u5171\u8bc6\u4e86\u3002
\npandas\u6a21\u5757\u57fa\u4e8eNumPy\u6a21\u5757\uff0c\u5728\u67d0\u79cd\u7a0b\u5ea6\u4e0a\u53ef\u4ee5\u628apandas\u770b\u6210Python\u7248\u7684Excel\u3002
\n\u4e0eNumPy\u6a21\u5757\u76f8\u6bd4\uff0cpandas\u6a21\u5757\u66f4\u64c5\u957f\u5904\u7406\u4e8c\u7ef4\u6570\u636e\uff0c\u5176\u4e3b\u8981\u6709Series\u548cDataFrame\u4e24\u79cd\u6570\u636e\u7ed3\u6784\u3002
\n<\/p>\n

\u4e8c\u3001Series\u6570\u636e\u7ed3\u6784<\/h2>\n

Series\u7c7b\u4f3c\u4e8e\u901a\u8fc7NumPy\u6a21\u5757\u521b\u5efa\u7684\u4e00\u7ef4\u6570\u7ec4\uff0c\u4e0d\u540c\u7684\u662fSeries\u5bf9\u8c61\u4e0d\u4ec5\u5305\u542b\u6570\u503c\uff0c\u8fd8\u5305\u542b\u4e00\u7ec4\u7d22\u5f15\uff0c\u6f14\u793a\u4ee3\u7801\u5982\u4e0b<\/p>\n

\n
>>> s = pd.Series(['\u4e01\u4e00', '\u738b\u4e8c', '\u5f20\u4e09'])>>> print(s)\r\n0    \u4e01\u4e00\r\n1    \u738b\u4e8c\r\n2    \u5f20\u4e09\r\ndtype: object<\/code><\/pre>\n<\/div>\n
\u53ef\u4ee5\u770b\u5230\uff0cs\u662f\u4e00\u4e2a\u4e00\u7ef4\u6570\u636e\u7ed3\u6784\uff0c\u5e76\u4e14\u6bcf\u4e2a\u5143\u7d20\u90fd\u6709\u4e00\u4e2a\u53ef\u4ee5\u7528\u6765\u5b9a\u4f4d\u7684\u884c\u7d22\u5f15\uff0c\u4f8b\u5982\uff0c\u53ef\u4ee5\u901a\u8fc7s[1]\u5b9a\u4f4d\u5230\u7b2c2\u4e2a\u5143\u7d20'\u738b\u4e8c'\u3002<\/p>\n
Series\u5f88\u5c11\u5355\u72ec\u4f7f\u7528\uff0c\u6211\u4eec\u5b66\u4e60pandas\u6a21\u5757\u4e3b\u8981\u662f\u4e3a\u4e86\u4f7f\u7528\u5b83\u63d0\u4f9b\u7684DataFrame\u6570\u636e\u7ed3\u6784\u3002\u540e\u9762\u6211\u4eec\u4e3b\u8981\u4ee5DataFrame\u4e3a\u4e3b\u8981\u5bf9\u8c61\u8fdb\u884c\u5b66\u4e60\u548c\u8ba8\u8bba\u3002<\/p>\n
\u4e09\u3001DataFrame\u6570\u636e\u7ed3\u6784<\/h2>\n
DataFrame \u662f Pandas \u5b9a\u4e49\u7684\u4e00\u4e2a\u4e8c\u7ef4\u6570\u636e\u7ed3\u6784\u3002 
\n<\/p>\n
DataFrame\u53ef\u4ee5\u901a\u8fc7Python\u7684\u5b57\u5178\u3001\u5217\u8868\u7b49\u62e5\u6709\u7c7b\u4e8c\u7ef4\u8868\u7ed3\u6784\u7684\u6570\u636e\u751f\u6210\uff0c\u5982\u4e0b<\/p>\n
\n
lst = ['Geeks', 'For', 'Geeks']\r\ndf1 = pd.DataFrame(lst)\r\n#\u751f\u6210\u7684DataFrame\u53ea\u4e09\u884c\u4e00\u5217\r\nlst2 = [['Geeks', 'For', 'Geeks']]\r\ndf2 = pd.DataFrame(lst2)\r\n#\u751f\u6210\u7684DataFrame\u6709\u4e00\u884c\u4e09\u5217\r\n\r\n\r\n\r\nb = pd.DataFrame([[1, 2], [3, 4], [5, 6]], columns=['date', 'score'], index=['A', 'B', 'C'])\r\n\r\n\r\ndict = {'Name': ['Tom', 'nick', 'krish', 'jack'],\r\n        'Age': [20, 21, 19, 18]}\r\ndf3 = pd.DataFrame(dict)<\/code><\/pre>\n<\/div>\n
\u4e5f\u53ef\u4ee5\u901a\u8fc7\u8f7d\u5165csv\u3001Excel\u7b49\u5916\u90e8\u6570\u636e\u751f\u6210DataFrame<\/p>\n
\n
# making data frame from csv file\r\ndf3 = pd.read_csv(\"nba.csv\", index_col =\"Name\")\r\n\r\n# making data frame from Excel file\r\ndf4 = pd.read_excel('.\/billing.xlsx', sheet_name=0)\r\n\r\n# making data frame from Json data\r\njson = '''{\"columns\":[\"col 1\",\"col 2\"],\r\n\"index\":[\"row 1\",\"row 2\"],\r\n\"data\":[[\"a\",\"b\"],[\"c\",\"d\"]]}\r\n'''\r\ndf5 = pd.read_json(json)<\/code><\/pre>\n<\/div>\n
\u65e2\u7136pandas\u53ef\u4ee5\u5f88\u5bb9\u6613\u7684\u5b9e\u73b0\u5916\u90e8\u6587\u4ef6\u683c\u5f0f\u7684\u8bfb\u53d6\uff0c\u90a3\u4e48\u662f\u4e0d\u662f\u540c\u6837\u4e5f\u53ef\u4ee5\u628a\u6570\u636e\u8f93\u51fa\u5230\u5916\u90e8\u7684CSV\u3001Excel\u6587\u4ef6\u3002\u5f53\u7136\u53ef\u4ee5\u3002\u8fd9\u90e8\u5206\u529f\u80fd\u6211\u4eec\u540e\u9762\u8ba8\u8bba\u3002<\/p>\n
\u56db\u3001DataFrame\u7684\u8bbf\u95ee\u3001\u9009\u53d6DataFrame\u4e2d\u7684\u6570\u636e<\/h2>\n
\u5bf9\u4e8e\u4e00\u4e2aDataFrame\u6211\u4eec\u6700\u5148\u5e94\u8be5\u77e5\u6653\u4ed6\u7684\u884c\u7d22\u5f15\u548c\u5217\u7d22\u5f15\uff0c\u7136\u540e\u624d\u80fd\u9009\u53d6\u6570\u636e\uff0c<\/p>\n
\n
    \u8bed\u6587  \u6570\u5b66  \u82f1\u8bed\r\n\u5f20\u4e09  34  67  87\r\n\u674e\u56db  68  98  58\r\n\u738b\u4e94  75  73  86\r\n\r\n#\u6253\u5370\u884c\u7d22\u5f15\r\nprint(mydata.index)\r\nIndex(['\u5f20\u4e09', '\u674e\u56db', '\u738b\u4e94'], dtype='object')\r\n#@ \u4e00\u822c\u9700\u8981\u8f93\u5165list\u683c\u5f0f\u7684index\r\n>>> print(list(mydata.index))\r\n>>> print(mydata.index.values.tolist())\r\n>>> print(mydata._stat_axis.values.tolist())\r\n\r\n#\u6253\u5370\u5217\u7d22\u5f15\r\n>>> print(list(mydata))\r\n['\u8bed\u6587', '\u6570\u5b66', '\u82f1\u8bed']\r\n>>> print(mydata.columns.values.tolist())<\/code><\/pre>\n<\/div>\n
\u9009\u53d6DataFrame\u4e2d\u7684\u6570\u636e 
\n<\/p>\n
\n
mydata['\u8bed\u6587']    #\u9009\u53d6\u8bed\u6587\u4e00\u5217\uff0c\u7ed3\u679c\u662fSeries\r\nprint(mydata.\u6570\u5b66) #\u9009\u53d6\u8bed\u6587\u4e00\u5217\uff0c\u7ed3\u679c\u662fSeries\r\nmydata[['\u8bed\u6587']]   #\u9009\u53d6\u8bed\u6587\u4e00\u5217\uff0c\u7ed3\u679c\u662fDataFrame\r\nmydata[['\u8bed\u6587', '\u6570\u5b66']]  #\u9009\u53d6\u8bed\u6587\u3001\u6570\u5b66\u4e24\u5217\uff0c\u7ed3\u679c\u662fDataFrame\r\n\r\nprint(mydata.loc['\u674e\u56db'])  # \u62bd\u53d6\u674e\u56db\u4e00\u884c\uff0c\u8f93\u51faSeries\r\nprint(mydata.iloc[2])  # \u62bd\u53d6\u7b2c\u4e09\u884c\uff0c\u8f93\u51faSeries\r\n\r\nprint(mydata.iloc[0:1])  #\u62bd\u53d6\u7b2c\u4e00\u884c\r\nprint(mydata.iloc[1:3])  #\u62bd\u53d6\u7b2c\u4e8c\u884c\u548c\u7b2c\u4e09\u884c<\/code><\/pre>\n<\/div>\n
\u6211\u4eec\u770b\u5230\u4e0a\u9762\u7684\u8fd9\u4e9b\u65b9\u6cd5\u53ea\u80fd\u9009\u53d6\u884c\u6216\u8005\u5217\u7684\u6570\u636e\uff0c\u7528\u8d77\u6765\u4e5f\u4e0d\u65b9\u4fbf\u3002\u5176\u5b9e\u6211\u4eec\u6700\u5e38\u7528\u7684\u662f\u4e0b\u9762\u8fd9\u51e0\u79cd\uff1a 
\n<\/p>\n
\n
print(mydata.loc['\u5f20\u4e09', '\u6570\u5b66'])  #\u53d6\u51fa\u5f20\u4e09\u6570\u5b66\u6210\u7ee9\r\nprint(mydata.loc['\u5f20\u4e09': '\u674e\u56db', '\u6570\u5b66':'\u82f1\u8bed']) #\u53d6\u51fa\u4ece\u5f20\u4e09\u5230\u674e\u56db\u7684\u884c\uff0c\u4ece\u6570\u5b66\u5230\u82f1\u8bed\u7684\u5217\r\n\r\nprint(mydata.iloc[0:1])  #\u62bd\u53d6\u7b2c\u4e00\u884c\r\nprint(mydata.iloc[:, 0:1]) #\u62bd\u53d6\u7b2c\u4e00\u5217\r\nprint(mydata.iloc[:, 2:3])  #\u9009\u53d6\u6240\u6709\u884c\uff0c\u53ea\u53d6\u7b2c\u4e09\u5217\r\nprint(mydata.iloc[0:2, [0, 2]]) #\u53d6\u51fa\u524d\u4e24\u884c\uff0c\u7b2c\u4e00\u5217\u548c\u7b2c\u4e09\u5217\r\n\r\n#\u5f53\u9009\u53d6\u8303\u56f4\u7cbe\u786e\u5230\u4e00\u4e2a\u503c\uff0c\u8f93\u51fa\u7684\u662f\u5355\u5143\u683c\u6570\u636e\uff0c\u5426\u5219\u8f93\u51fa\u7684\u662fDataframe\r\n\r\nprint(mydata.at['\u674e\u56db', '\u82f1\u8bed'])  # \u8f93\u51fa\u674e\u56db\u82f1\u8bed\u5206\u6570\r\nprint(mydata.iat[1, 2])           #\u8f93\u51fa\u7b2c\u4e8c\u884c\u7b2c\u4e09\u5217\u5185\u5bb9\r\n\r\nprint(mydata[mydata.\u6570\u5b66 > 90 ])\r\n\r\n# iloc\u7279\u522b\u6ce8\u610f\u7684\u5730\u65b9\uff1a\r\n#\u7528\u6cd5\u662filoc[a:b , c:d] \u8fd9\u6837\u8f93\u51fa\u7684\u662fDataFrame\uff0ciloc[: , a] \u8f93\u51faSeries\r\nprint(mydata.iloc[:, 0:1]) #\u8fd9\u4e2a\u8f93\u51fa\u7ed3\u679c\u662fDataFrame\r\nprint(mydata.iloc[:, 0])   #\u8fd9\u4e2a\u8f93\u51fa\u7ed3\u679c\u662fSeries<\/code><\/pre>\n<\/div>\n
\u6ce8\u610f\uff1aloc\u3001at\u53ea\u80fd\u901a\u8fc7\u9009\u53d6\u5217\u6807\u7b7e\u7d22\u5f15\u6570\u636e\uff0ciloc\u3001iat\u53ea\u80fd\u901a\u8fc7\u9009\u53d6\u5217\u4f4d\u7f6e\u7f16\u53f7\uff080\uff0c1\uff0c2\uff0c3\uff09\u7d22\u5f15\u6570\u636e\u3002\u53e6\u5916\u4e4b\u524d\u8fd8\u6709\u4e00\u4e2aix\u65b9\u6cd5\uff0c\u5373\u53ef\u7528\u7f16\u53f7\u4e5f\u53ef\u4ee5\u7528\u6807\u7b7e\uff0c\u57280.20\u4ee5\u540e\u5220\u6389\u4e86\u3002<\/p>\n
\u4e94\u3001DataFrame\u5217\u540d\u7684\u6dfb\u52a0\u548c\u4fee\u6539<\/h2>\n
\u901a\u8fc7\u4e0a\u9762\u7684\u5b66\u4e60\uff0c\u6211\u4eec\u610f\u8bc6\u5230index\u53ef\u80fd\u4f1a\u81ea\u52a8\u751f\u6210\uff0c\u4f46\u662f\u5217\u540d\u5982\u679c\u4e0d\u6307\u5b9a\u7684\u8bdd\uff0c\u540e\u9762\u8c03\u7528\u8d77\u6765\u4f1a\u6bd4\u8f83\u9ebb\u70e6\uff0c\u56e0\u6b64\u6211\u4eec\u603b\u7ed3\u4e86\u5217\u540d\u7684\u5e38\u7528\u65b9\u6cd5\u3002<\/p>\n
\n
# \u589e\u52a0\u5217\u540d\r\nmydf.columns = ['\u7b2c\u4e00\u5217', '\u7b2c\u4e8c\u5217', '\u7b2c\u4e09\u5217']\r\n\r\n#\u589e\u52a0\u884c\u540d\r\nmydf.index = ['A', 'B', 'C']\r\n\r\n#\u4fee\u6539\u5236\u5b9a\u5217\u7684\u540d\u5b57\u3002\u66ff\u6362\u5217\u540d\r\nmydf.rename(columns={'\u7b2c\u4e8c\u5217': '\u65b0\u7684\u5217\u540d'}, inplace=True)<\/code><\/pre>\n<\/div>\n
\u516d\u3001DataFrame\u884c\u7d22\u5f15\u548c\u5e38\u89c4\u5217\u7684\u8f6c\u6362<\/h2>\n
\u884c\u7d22\u5f15\u548c\u5e38\u89c4\u5217\u662f\u4e2a\u6bd4\u8f83\u5e38\u7528\u7684\u8f6c\u6362\u3002<\/p>\n
\n
   \u8bed\u6587  \u6570\u5b66  \u82f1\u8bed\r\nA  34  67  87\r\nB  68  98  58\r\nC  75  73  86\r\n#\u5c06\u884c\u7d22\u5f15 \u8f6c\u6362\u4e3a\u5e38\u89c4\u5217\r\n>>> mydf.reset_index(inplace=True)\r\n  index  \u8bed\u6587  \u6570\u5b66  \u82f1\u8bed\r\n0     A  34  67  87\r\n1     B  68  98  58\r\n2     C  75  73  86\r\n\r\n#\u5c06\u5e38\u89c4\u5217 \u8f6c\u6362\u4e3a\u884c\u7d22\u5f15\r\n>>> mydf.set_index('index', inplace=True)\r\n       \u8bed\u6587  \u6570\u5b66  \u82f1\u8bed\r\nindex            \r\nA      34  67  87\r\nB      68  98  58\r\nC      75  73  86<\/code><\/pre>\n<\/div>\n
\u66f4\u5e38\u7528\u7684\u662f\u5c06\u5e38\u89c4\u5217\u4e2d\u7684\u65f6\u95f4\u5217\u8f6c\u6362\u4e3aindex<\/p>\n
\n
#Time\u6570\u636e\u5217\u4e3a\u65f6\u95f4\u6233\r\nmydata['Time'] = pd.to_datetime(mydata['Time'], unit='s')\r\nmydata.set_index('Time', inplace=True)<\/code><\/pre>\n<\/div>\n
\u4e03\u3001\u884c\u4e0e\u5217\u7684\u65b0\u589e\u4e0e\u5220\u9664<\/h2>\n
\u8fd9\u9879\u529f\u80fd\u4e0d\u600e\u4e48\u5e38\u7528\uff0c\u4ee3\u7801\u5982\u4e0b<\/p>\n
\n
# \u65b0\u589e\u4e00\u5217\u6570\u636e\r\naddress = ['Delhi', 'Bangalore', 'Chennai', 'Patna']\r\ndf['Address'] = address\r\n\r\n# \u65b0\u589e\u4e00\u884c\u6570\u636e\uff0c\u6bd4\u8f83\u9ebb\u70e6\uff0c\u6211\u4eec\u5148\u751f\u6210\u4e00\u4e2aDataFrame\uff0c\u7136\u540e\u6dfb\u52a0\uff0c\u5982\u4e0b\r\nfruit_list = [['Orange', 34, 'Yes']]\r\ndf = pd.DataFrame(fruit_list, columns=['Name', 'Price', 'Stock'])\r\n\r\n# \u65b0\u589e\u4e00\u884c\u6570\u636e\uff0c\u4f7f\u7528loc\r\ndf.loc[1] = ['Mango', 4, 'No']\r\ndf.loc[2] = ['Apple', 14, 'Yes']\r\n\r\n\r\n#\u65b0\u589e\u4e00\u884c\u6570\u636e\uff0c\u4f7f\u7528append({dict})\r\ndf = df.append({'Name': 'Banana', 'Price': 6, 'Stock': 'Yes'} , ignore_index=True)\r\n\r\n#\u901a\u8fc7\u5408\u5e76\u4e24\u4e2aDataFrame\u6765\u589e\u52a0\u884c\r\nlst2 = [['Pear', 4, 'No']]\r\ndf2 = pd.DataFrame(lst2, columns=['Name', 'Price', 'Stock'])\r\n\r\ndfnew = df1.append(df2, ignore_index=True)\r\n\r\n\r\n# \u6839\u636ecolumName\u5220\u9664\u5217\r\ndata.drop([\"Team\", \"Weight\"], axis=1, inplace=True)\r\n\r\n# \u6839\u636eindexName \u5220\u9664\u884c\r\ndata.drop([\"Avery Bradley\", \"John Holland\", \"R.J. Hunter\",\r\n                            \"R.J. Hunter\"], inplace=True)\r\n# \u5220\u9664\u884c\u548c\u5217\uff0c\u6839\u636e\u7684\u662faxis\uff0caxis=1 \u8868\u793a\u5217\uff0caxis=0 \u8868\u793a\u884c\uff0c\u9ed8\u8ba4\u662f0\u3002<\/code><\/pre>\n<\/div>\n
\u53c2\u8003\u8d44\u6599<\/h2>\n
https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.DataFrame.loc.html<\/a><\/p>\n
\u8f6c\u8f7d\u8bf7\u6ce8\u660e\uff1aIPCPU-\u7f51\u7edc\u4e4b\u8def<\/a> » pandas\u57fa\u7840-DataFrame\u6570\u636e\u7ed3\u6784\u521b\u5efa\u3001\u8bbf\u95ee\u3001\u6570\u636e\u9009\u53d6<\/a><\/p>","protected":false},"excerpt":{"rendered":"
\u4e00\u3001\u6982\u8ff0 Pandas\u662f\u57fa\u4e8ePython\u8bed\u8a00\u7684\u4e00\u4e2a\u6570\u636e\u5206\u6790\u5e93\uff0c\u521d\u671f\u4e3b\u8981\u7531WesMcKinney\u5148\u751f\u57282008\u5f00\u53d1\u63a8\u51fa\uff0c\u5e76\u4e8e2009\u5e74\u5f00\u6e90\u3002\u8be5\u5de5\u5177\u7684\u8bbe\u8ba1\u4e4b\u521d\u662f\u7528\u4e8e\u91d1\u878d\u6570\u636e\u7684\u5206\u6790\u5904\u7406\uff0c\u6240\u4ee5\u5728\u57fa\u4e8e\u65f6\u95f4\u5e8f\u5217\u7684\u5206\u6790\u529f\u80fd\u5c24\u4e3a\u5f3a\u5927\u3002Pandas\u7684\u540d\u79f0PanelData\uff08\u9762\u677f\u6570\u636e\uff09\u548cDataAnalysis\uff08\u6570\u636e\u5206\u6790\uff09\u7684\u7ed3\u5408\u4f53\uff0c\u5f53\u7136\u5728\u4e2d\u56fd\uff0c\u89e3\u91ca\u6210\u56fd\u5b9d\u5927\u718a\u732b\u4e5f\u662f\u5927\u5bb6\u7684\u5171\u8bc6\u4e86\u3002 pandas\u6a21\u5757\u57fa\u4e8eNumPy\u6a21\u5757\uff0c\u5728\u67d0\u79cd\u7a0b\u5ea6\u4e0a\u53ef\u4ee5\u628apandas\u770b\u6210Python\u7248\u7684Excel\u3002 \u4e0eNumPy\u6a21\u5757\u76f8\u6bd4\uff0cpandas\u6a21\u5757\u66f4\u64c5\u957f\u5904\u7406\u4e8c\u7ef4\u6570\u636e\uff0c\u5176\u4e3b\u8981\u6709Series\u548cDataFrame\u4e24\u79cd\u6570\u636e\u7ed3\u6784\u3002 \u4e8c\u3001Series\u6570\u636e\u7ed3\u6784 Series\u7c7b\u4f3c\u4e8e\u901a\u8fc7NumPy\u6a21\u5757\u521b\u5efa\u7684\u4e00\u7ef4\u6570\u7ec4\uff0c\u4e0d\u540c\u7684\u662fSeries\u5bf9\u8c61\u4e0d\u4ec5\u5305\u542b\u6570\u503c\uff0c\u8fd8\u5305\u542b\u4e00\u7ec4\u7d22\u5f15\uff0c\u6f14\u793a\u4ee3\u7801\u5982\u4e0b >>> s = pd.Series([‘\u4e01\u4e00’, ‘\u738b\u4e8c’, ‘\u5f20\u4e09’])>>> print(s) 0 \u4e01\u4e00 1 \u738b\u4e8c 2 \u5f20\u4e09 dtype: object \u53ef\u4ee5\u770b\u5230\uff0cs\u662f\u4e00\u4e2a\u4e00\u7ef4\u6570\u636e\u7ed3\u6784\uff0c\u5e76\u4e14\u6bcf\u4e2a\u5143\u7d20\u90fd\u6709\u4e00\u4e2a\u53ef\u4ee5\u7528\u6765\u5b9a\u4f4d\u7684\u884c\u7d22\u5f15\uff0c\u4f8b\u5982\uff0c\u53ef\u4ee5\u901a\u8fc7s[1]\u5b9a\u4f4d\u5230\u7b2c2\u4e2a\u5143\u7d20’\u738b\u4e8c’\u3002 Series\u5f88\u5c11\u5355\u72ec\u4f7f\u7528\uff0c\u6211\u4eec\u5b66\u4e60pandas\u6a21\u5757\u4e3b\u8981\u662f\u4e3a\u4e86\u4f7f\u7528\u5b83\u63d0\u4f9b\u7684DataFrame\u6570\u636e\u7ed3\u6784\u3002\u540e\u9762\u6211\u4eec\u4e3b\u8981\u4ee5DataFrame\u4e3a\u4e3b\u8981\u5bf9\u8c61\u8fdb\u884c\u5b66\u4e60\u548c\u8ba8\u8bba\u3002 \u4e09\u3001DataFrame\u6570\u636e\u7ed3\u6784 DataFrame \u662f Pandas \u5b9a\u4e49\u7684\u4e00\u4e2a\u4e8c\u7ef4\u6570\u636e\u7ed3\u6784\u3002 DataFrame\u53ef\u4ee5\u901a\u8fc7Python\u7684\u5b57\u5178\u3001\u5217\u8868\u7b49\u62e5\u6709\u7c7b\u4e8c\u7ef4\u8868\u7ed3\u6784\u7684\u6570\u636e\u751f\u6210\uff0c\u5982\u4e0b lst = [‘Geeks’, ‘For’, ‘Geeks’] df1 = pd.DataFrame(lst) #\u751f\u6210\u7684DataFrame\u53ea\u4e09\u884c\u4e00\u5217 lst2 = [[‘Geeks’, ‘For’, ‘Geeks’]] df2 = pd.DataFrame(lst2) #\u751f\u6210\u7684DataFrame\u6709\u4e00\u884c\u4e09\u5217 b = pd.DataFrame([[1, 2], [3, 4], [5, 6]], […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3,13],"tags":[220,59],"_links":{"self":[{"href":"https:\/\/c.ipcpu.com\/wp-json\/wp\/v2\/posts\/1500"}],"collection":[{"href":"https:\/\/c.ipcpu.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/c.ipcpu.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/c.ipcpu.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/c.ipcpu.com\/wp-json\/wp\/v2\/comments?post=1500"}],"version-history":[{"count":1,"href":"https:\/\/c.ipcpu.com\/wp-json\/wp\/v2\/posts\/1500\/revisions"}],"predecessor-version":[{"id":1501,"href":"https:\/\/c.ipcpu.com\/wp-json\/wp\/v2\/posts\/1500\/revisions\/1501"}],"wp:attachment":[{"href":"https:\/\/c.ipcpu.com\/wp-json\/wp\/v2\/media?parent=1500"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/c.ipcpu.com\/wp-json\/wp\/v2\/categories?post=1500"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/c.ipcpu.com\/wp-json\/wp\/v2\/tags?post=1500"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}