{"id":872,"date":"2022-12-23T01:14:15","date_gmt":"2024-01-31T03:48:29","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/index.php\/2023\/11\/30\/python-pandas-%e6%a8%a1%e5%9d%97%e6%95%99%e7%a8%8b\/"},"modified":"2025-08-03T14:19:54","modified_gmt":"2025-08-03T06:19:54","slug":"python-pandas-%e6%a8%a1%e5%9d%97%e6%95%99%e7%a8%8b","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/python-pandas-%e6%a8%a1%e5%9d%97%e6%95%99%e7%a8%8b\/","title":{"rendered":"Python Pandas\u5b8c\u6574\u6559\u7a0b\uff1a\u4ece\u5165\u95e8\u5230\u7cbe\u901a\u7684\u6570\u636e\u5206\u6790\u5b9e\u6218\u6307\u5357"},"content":{"rendered":"<h2>Python\u4e2d\u7684Pandas\u6a21\u5757<\/p>\n<ul class=\"post-ul\">\n<li>Pandas is an open source library in Python. It provides ready to use high-performance data structures and data analysis tools.<\/li>\n<li>Pandas module runs on top of NumPy and it is popularly used for data science and data analytics.<\/li>\n<li>NumPy is a low-level data structure that supports multi-dimensional arrays and a wide range of mathematical array operations. Pandas has a higher-level interface. It also provides streamlined alignment of tabular data and powerful time series functionality.<\/li>\n<li>DataFrame is the key data structure in Pandas. It allows us to store and manipulate tabular data as a 2-D data structure.<\/li>\n<li>Pandas provides a rich feature-set on the DataFrame. For example, data alignment, data statistics, slicing, grouping, merging, concatenating data, etc.<\/li>\n<\/ul>\n<hr \/>\n<h2>\u5b89\u88c5\u548c\u5f00\u59cb\u4f7f\u7528Pandas\u60a8\u9700\u8981\u5b89\u88c5Python 2.7\u53ca\u4ee5\u4e0a\u7248\u672c\u624d\u80fd\u5b89\u88c5Pandas\u6a21\u5757\u3002\u5982\u679c\u60a8\u5728\u4f7f\u7528conda\u73af\u5883\uff0c\u5219\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\u3002<\/p>\n<pre class=\"post-pre\"><code>conda install pandas\r\n<\/code><\/pre>\n<p>\u5982\u679c\u60a8\u6b63\u5728\u4f7f\u7528PIP\uff0c\u5219\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5pandas\u6a21\u5757\u3002<\/p>\n<pre class=\"post-pre\"><code>pip3.7 install pandas\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/8-0.png\" alt=\"Python Install Pandas Module\" \/>\u8981\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165Pandas\u548cNumPy\uff0c\u8bf7\u6dfb\u52a0\u4ee5\u4e0b\u4ee3\u7801\u7247\u6bb5\uff1a<\/p>\n<pre class=\"post-pre\"><code>import pandas as pd\r\nimport numpy as np\r\n<\/code><\/pre>\n<p>\u7531\u4e8ePandas\u4f9d\u8d56\u4e8eNumPy\u5e93\uff0c\u6211\u4eec\u9700\u8981\u5f15\u5165\u8fd9\u4e2a\u4f9d\u8d56\u3002<\/p>\n<hr \/>\n<h2>Pandas\u6a21\u5757\u4e2d\u7684\u6570\u636e\u7ed3\u6784Pandas\u6a21\u5757\u63d0\u4f9b\u4e86\u4e09\u79cd\u6570\u636e\u7ed3\u6784\uff0c\u5206\u522b\u5982\u4e0b\uff1a<\/p>\n<ul class=\"post-ul\">\n<li>Series: It is a 1-D size-immutable array like structure having homogeneous data.<\/li>\n<li>DataFrames: It is a 2-D size-mutable tabular structure with heterogeneously typed columns.<\/li>\n<li>Panel: It is a 3-D, size-mutable array.<\/li>\n<\/ul>\n<hr \/>\n<h2>\u718a\u732b\u6570\u636e\u6846\u67b6DataFrame\u662f\u6700\u91cd\u8981\u4e14\u5e7f\u6cdb\u4f7f\u7528\u7684\u6570\u636e\u7ed3\u6784\uff0c\u662f\u4e00\u79cd\u5b58\u50a8\u6570\u636e\u7684\u6807\u51c6\u65b9\u5f0f\u3002DataFrame\u7684\u6570\u636e\u4ee5\u884c\u548c\u5217\u5bf9\u9f50\uff0c\u5c31\u50cfSQL\u8868\u6216\u7535\u5b50\u8868\u683c\u6570\u636e\u5e93\u4e00\u6837\u3002\u6211\u4eec\u53ef\u4ee5\u5c06\u6570\u636e\u786c\u7f16\u7801\u5230DataFrame\u4e2d\uff0c\u4e5f\u53ef\u4ee5\u5bfc\u5165CSV\u6587\u4ef6\u3001tsv\u6587\u4ef6\u3001Excel\u6587\u4ef6\u3001SQL\u8868\u7b49\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4e0b\u9762\u7684\u6784\u9020\u51fd\u6570\u6765\u521b\u5efa\u4e00\u4e2aDataFrame\u5bf9\u8c61\u3002<\/p>\n<pre class=\"post-pre\"><code>pandas.DataFrame(data, index, columns, dtype, copy)\r\n<\/code><\/pre>\n<p>\u4e0b\u9762\u662f\u53c2\u6570\u7684\u7b80\u8981\u63cf\u8ff0:<\/p>\n<ul class=\"post-ul\">\n<li>data &#8211; create a DataFrame object from the input data. It can be list, dict, series, Numpy ndarrays or even, any other DataFrame.<\/li>\n<li>index &#8211; has the row labels<\/li>\n<li>columns &#8211; used to create column labels<\/li>\n<li>dtype &#8211; used to specify the data type of each column, optional parameter<\/li>\n<li>copy &#8211; used for copying data, if any<\/li>\n<\/ul>\n<p>\u6709\u5f88\u591a\u65b9\u6cd5\u6765\u521b\u5efaDataFrame\u3002\u6211\u4eec\u53ef\u4ee5\u4ece\u5b57\u5178\u6216\u5b57\u5178\u5217\u8868\u521b\u5efaDataFrame\u5bf9\u8c61\u3002\u6211\u4eec\u8fd8\u53ef\u4ee5\u4ece\u5143\u7ec4\u5217\u8868\u3001CSV\u3001Excel\u6587\u4ef6\u7b49\u521b\u5efaDataFrame\u3002\u8ba9\u6211\u4eec\u8fd0\u884c\u4e00\u4e2a\u7b80\u5355\u7684\u4ee3\u7801\uff0c\u4ece\u5b57\u5178\u5217\u8868\u4e2d\u521b\u5efa\u4e00\u4e2aDataFrame\u3002<\/p>\n<pre class=\"post-pre\"><code>import pandas as pd\r\nimport numpy as np\r\ndf = pd.DataFrame({\r\n    \"State\": ['Andhra Pradesh', 'Maharashtra', 'Karnataka', 'Kerala', 'Tamil Nadu'],\r\n    \"Capital\": ['Hyderabad', 'Mumbai', 'Bengaluru', 'Trivandrum', 'Chennai'],\r\n    \"Literacy %\": [89, 77, 82, 97,85],\r\n    \"Avg High Temp(c)\": [33, 30, 29, 31, 32 ]\r\n})\r\nprint(df)\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/24-0.png\" alt=\"Python pandas Dataframe\" \/><\/p>\n<hr \/>\n<h2>\u5c06\u6570\u636e\u4eceCSV\u5bfc\u5165\u5230DataFrame\u4e2d\u6211\u4eec\u4e5f\u53ef\u4ee5\u901a\u8fc7\u5bfc\u5165CSV\u6587\u4ef6\u6765\u521b\u5efaDataFrame\u3002CSV\u6587\u4ef6\u662f\u4e00\u4e2a\u6587\u672c\u6587\u4ef6\uff0c\u6bcf\u884c\u5305\u542b\u4e00\u4e2a\u6570\u636e\u8bb0\u5f55\u3002\u8bb0\u5f55\u4e2d\u7684\u503c\u4f7f\u7528\u201c\u9017\u53f7\u201d\u5b57\u7b26\u5206\u9694\u3002Pandas\u63d0\u4f9b\u4e86\u4e00\u4e2a\u6709\u7528\u7684\u65b9\u6cd5\uff0c\u540d\u4e3aread_csv()\uff0c\u7528\u4e8e\u5c06CSV\u6587\u4ef6\u7684\u5185\u5bb9\u8bfb\u53d6\u5230DataFrame\u4e2d\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u540d\u4e3a&#8217;cities.csv&#8217;\u7684\u6587\u4ef6\uff0c\u5176\u4e2d\u5305\u542b\u5370\u5ea6\u57ce\u5e02\u7684\u8be6\u7ec6\u4fe1\u606f\u3002\u8be5CSV\u6587\u4ef6\u5b58\u50a8\u5728\u5305\u542bPython\u811a\u672c\u7684\u540c\u4e00\u76ee\u5f55\u4e2d\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5bfc\u5165\u6b64\u6587\u4ef6\uff1a<\/p>\n<pre class=\"post-pre\"><code>import pandas as pd\r\ndata =  pd.read_csv('cities.csv')\r\nprint(data)\r\n<\/code><\/pre>\n<p>\u6211\u4eec\u7684\u76ee\u6807\u662f\u52a0\u8f7d\u6570\u636e\u5e76\u8fdb\u884c\u5206\u6790\u4ee5\u5f97\u51fa\u7ed3\u8bba\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4efb\u4f55\u65b9\u4fbf\u7684\u65b9\u6cd5\u6765\u52a0\u8f7d\u6570\u636e\u3002\u5728\u672c\u6559\u7a0b\u4e2d\uff0c\u6211\u4eec\u4f1a\u786c\u7f16\u7801DataFrame\u7684\u6570\u636e\u3002<\/p>\n<hr \/>\n<h2>\u68c0\u67e5DataFrame\u4e2d\u7684\u6570\u636e\u8fd0\u884c\u6570\u636e\u5e27\u4f7f\u7528\u5176\u540d\u79f0\u663e\u793a\u6574\u4e2a\u8868\u683c\u3002\u5728\u5b9e\u65f6\u4e2d\uff0c\u8981\u5206\u6790\u7684\u6570\u636e\u96c6\u5c06\u62e5\u6709\u6570\u5343\u884c\u3002\u4e3a\u4e86\u5206\u6790\u6570\u636e\uff0c\u6211\u4eec\u9700\u8981\u68c0\u67e5\u6765\u81ea\u5927\u91cf\u6570\u636e\u96c6\u7684\u6570\u636e\u3002Pandas\u63d0\u4f9b\u4e86\u8bb8\u591a\u6709\u7528\u7684\u51fd\u6570\uff0c\u53ef\u4ee5\u4ec5\u68c0\u67e5\u6211\u4eec\u6240\u9700\u7684\u6570\u636e\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528df.head\uff08n\uff09\u6765\u83b7\u53d6\u524dn\u884c\uff0c\u6216df.tail\uff08n\uff09\u6765\u6253\u5370\u6700\u540en\u884c\u3002\u4f8b\u5982\uff0c\u4e0b\u9762\u7684\u4ee3\u7801\u4ece\u6570\u636e\u5e27\u4e2d\u6253\u5370\u51fa\u524d2\u884c\u548c\u6700\u540e1\u884c\u3002<\/p>\n<pre class=\"post-pre\"><code>print(df.head(2))\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/34-0.png\" alt=\"Head\" \/><\/p>\n<pre class=\"post-pre\"><code>print(df.tail(1))\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/36-4.png\" alt=\"Values\" \/><\/p>\n<hr \/>\n<h3>\u83b7\u53d6\u8bb0\u5f55\u7684\u7edf\u8ba1\u6458\u8981\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528df.describe()\u51fd\u6570\u5bf9\u6570\u636e\u8fdb\u884c\u7edf\u8ba1\u6458\u8981\uff08\u8ba1\u6570\u3001\u5e73\u5747\u503c\u3001\u6807\u51c6\u5dee\u3001\u6700\u5c0f\u503c\u3001\u6700\u5927\u503c\u7b49\uff09\u3002\u73b0\u5728\uff0c\u8ba9\u6211\u4eec\u4f7f\u7528\u8fd9\u4e2a\u51fd\u6570\uff0c\u6765\u663e\u793a\u201c\u8bfb\u5199\u80fd\u529b%\u201d\u5217\u7684\u7edf\u8ba1\u6458\u8981\u3002\u4e3a\u4e86\u505a\u5230\u8fd9\u4e00\u70b9\uff0c\u6211\u4eec\u53ef\u4ee5\u6dfb\u52a0\u4ee5\u4e0b\u4ee3\u7801\u7247\u6bb5\uff1a<\/p>\n<pre class=\"post-pre\"><code>print(df['Literacy %'].describe())\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/41-0.png\" alt=\"Describe\" \/><\/p>\n<hr \/>\n<h3>2.\u8bb0\u5f55\u6392\u5e8f\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528df.sort_values()\u51fd\u6570\u6309\u4efb\u610f\u5217\u5bf9\u8bb0\u5f55\u8fdb\u884c\u6392\u5e8f\u3002\u4f8b\u5982\uff0c\u8ba9\u6211\u4eec\u6309\u7167\u201c\u8bc6\u5b57\u7387\u201d\u4e00\u5217\u8fdb\u884c\u964d\u5e8f\u6392\u5e8f\u3002<\/p>\n<pre class=\"post-pre\"><code>print(df.sort_values('Literacy %', ascending=False))\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/46-0.png\" alt=\"Sort\" \/><\/p>\n<hr \/>\n<h3>\u5207\u5272\u8bb0\u5f55\u53ef\u4ee5\u4f7f\u7528\u5217\u540d\u63d0\u53d6\u7279\u5b9a\u5217\u7684\u6570\u636e\u3002\u4f8b\u5982\uff0c\u8981\u63d0\u53d6\u201cCapital\u201d\u5217\uff0c\u6211\u4eec\u4f7f\u7528\uff1a<\/p>\n<pre class=\"post-pre\"><code>df['Capital']\r\n<\/code><\/pre>\n<p>\u6216\u8005<\/p>\n<pre class=\"post-pre\"><code>(df.Capital)\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/53-0.png\" alt=\"Slice Capitals\" \/><\/p>\n<pre class=\"post-pre\"><code>print(df[['State', 'Capital']])\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/55-0.png\" alt=\"Slicemultiplecol\" \/><\/p>\n<pre class=\"post-pre\"><code>df[0:3]\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/57-0.png\" alt=\"Slicerows\" \/><\/p>\n<hr \/>\n<h3>4. \u6570\u636e\u8fc7\u6ee4\u8fd8\u53ef\u4ee5\u6839\u636e\u5217\u503c\u8fdb\u884c\u8fc7\u6ee4\u3002\u4f8b\u5982\uff0c\u4e0b\u9762\u7684\u4ee3\u7801\u4f1a\u8fc7\u6ee4\u6389\u5177\u6709\u8d85\u8fc790%\u8bc6\u5b57\u7387\u7684\u5217\u3002<\/p>\n<pre class=\"post-pre\"><code>print(df[df['Literacy %']&gt;90])\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/62-0.png\" alt=\"Filter Lit\" \/><\/p>\n<pre class=\"post-pre\"><code>print(df[df['State'].isin(['Karnataka', 'Tamil Nadu'])])\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/64-0.png\" alt=\"Filter\" \/><\/p>\n<hr \/>\n<h3>5. \u66f4\u6539\u5217\u540d\u53ef\u4ee5\u4f7f\u7528df.rename()\u51fd\u6570\u6765\u91cd\u547d\u540d\u5217\u3002\u8be5\u51fd\u6570\u4ee5\u65e7\u7684\u5217\u540d\u548c\u65b0\u7684\u5217\u540d\u4f5c\u4e3a\u53c2\u6570\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u5c06\u5217&#8217;Literacy %&#8217;\u91cd\u547d\u540d\u4e3a&#8217;Literacy percentage&#8217;\u3002<\/p>\n<pre class=\"post-pre\"><code>df.rename(columns = {'Literacy %':'Literacy percentage'}, inplace=True)\r\nprint(df.head())\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/69-0.png\" alt=\"Rename\" \/><\/p>\n<hr \/>\n<h3>\u6570\u636e\u6574\u7406\u6570\u636e\u79d1\u5b66\u6d89\u53ca\u5bf9\u6570\u636e\u8fdb\u884c\u5904\u7406\uff0c\u4ee5\u4fbf\u80fd\u591f\u4e0e\u6570\u636e\u7b97\u6cd5\u5f88\u597d\u5730\u914d\u5408\u3002\u6570\u636e\u6574\u7406\u662f\u5904\u7406\u6570\u636e\u7684\u8fc7\u7a0b\uff0c\u5982\u5408\u5e76\u3001\u5206\u7ec4\u548c\u8fde\u63a5\u3002Pandas\u5e93\u63d0\u4f9b\u4e86merge()\u3001groupby()\u548cconcat()\u7b49\u6709\u7528\u7684\u51fd\u6570\u6765\u652f\u6301\u6570\u636e\u6574\u7406\u4efb\u52a1\u3002\u8ba9\u6211\u4eec\u521b\u5efa\u4e24\u4e2a\u6570\u636e\u6846\u5e76\u5c55\u793a\u6570\u636e\u6574\u7406\u51fd\u6570\uff0c\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u5b83\u3002<\/p>\n<pre class=\"post-pre\"><code>import pandas as pd\r\n\r\nd = {  \r\n    'Employee_id': ['1', '2', '3', '4', '5'],\r\n    'Employee_name': ['Akshar', 'Jones', 'Kate', 'Mike', 'Tina']\r\n}\r\ndf1 = pd.DataFrame(d, columns=['Employee_id', 'Employee_name'])  \r\nprint(df1)\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/74-0.png\" alt=\"Wrangling 1\" \/><\/p>\n<pre class=\"post-pre\"><code>import pandas as pd\r\n\r\ndata = {  \r\n    'Employee_id': ['4', '5', '6', '7', '8'],\r\n    'Employee_name': ['Meera', 'Tia', 'Varsha', 'Williams', 'Ziva']\r\n}\r\ndf2 = pd.DataFrame(data, columns=['Employee_id', 'Employee_name'])  \r\nprint(df2)\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/76-0.png\" alt=\"Wrangling 2\" \/><\/p>\n<hr \/>\n<h4>\u5408\u5e76 (h\u00e9\u73b0\u5728\uff0c\u8ba9\u6211\u4eec\u4f7f\u7528merge()\u51fd\u6570\u5c06\u6211\u4eec\u521b\u5efa\u7684\u4e24\u4e2aDataFrame\u6309\u7167&#8217;Employee_id&#8217;\u7684\u503c\u8fdb\u884c\u5408\u5e76\uff1a<\/p>\n<pre class=\"post-pre\"><code>print(pd.merge(df1, df2, on='Employee_id'))\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/81-0.png\" alt=\"Merging\" \/><\/p>\n<hr \/>\n<h4>b. \u5206\u7ec4 z\u01d4)\u5206\u7ec4\u662f\u5c06\u6570\u636e\u6309\u4e0d\u540c\u7c7b\u522b\u8fdb\u884c\u6536\u96c6\u7684\u8fc7\u7a0b\u3002\u4f8b\u5982\uff0c\u5728\u4ee5\u4e0b\u793a\u4f8b\u4e2d\uff0c\u201c\u5458\u5de5\u540d\u5b57\u201d\u5b57\u6bb5\u4e24\u6b21\u51fa\u73b0\u4e86\u201cMeera\u201d\u8fd9\u4e2a\u540d\u79f0\u3002\u56e0\u6b64\uff0c\u8ba9\u6211\u4eec\u6309\u7167\u201c\u5458\u5de5\u540d\u5b57\u201d\u4e00\u5217\u5bf9\u5176\u8fdb\u884c\u5206\u7ec4\u3002<\/p>\n<pre class=\"post-pre\"><code>import pandas as pd\r\nimport numpy as np\r\n\r\ndata = {\r\n    'Employee_id': ['4', '5', '6', '7', '8'],\r\n    'Employee_name': ['Meera', 'Meera', 'Varsha', 'Williams', 'Ziva']\r\n}\r\ndf2 = pd.DataFrame(data)\r\n\r\ngroup = df2.groupby('Employee_name')\r\nprint(group.get_group('Meera'))\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/86-0.png\" alt=\"Grouping\" \/><\/p>\n<hr \/>\n<h4>c. \u8fde\u63a5\u6570\u636e\u8fde\u63a5\u6d89\u53ca\u5c06\u4e00\u7ec4\u6570\u636e\u6dfb\u52a0\u5230\u53e6\u4e00\u7ec4\u6570\u636e\u4e2d\u3002Pandas\u63d0\u4f9b\u4e86\u4e00\u4e2a\u540d\u4e3a`concat()`\u7684\u51fd\u6570\u6765\u8fde\u63a5DataFrame\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528`concat()`\u51fd\u6570\u6765\u8fde\u63a5df1\u548cdf2\u4e24\u4e2aDataFrame\u3002<\/p>\n<pre class=\"post-pre\"><code>print(pd.concat([df1, df2]))\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/91-0.png\" alt=\"Concatenation\" \/><\/p>\n<hr \/>\n<h2>\u901a\u8fc7\u4f20\u9012\u4e00\u4e2a\u7cfb\u5217\u5b57\u5178\u521b\u5efa\u4e00\u4e2a\u6570\u636e\u6846\u67b6\u3002\u521b\u5efa\u4e00\u4e2aSeries\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528pd.Series()\u65b9\u6cd5\u5e76\u5c06\u4e00\u4e2a\u6570\u7ec4\u4f20\u9012\u7ed9\u5b83\u3002\u8ba9\u6211\u4eec\u6309\u7167\u4ee5\u4e0b\u65b9\u5f0f\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684Series\uff1a<\/p>\n<pre class=\"post-pre\"><code>series_sample = pd.Series([100, 200, 300, 400])\r\nprint(series_sample)\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/96-0.png\" alt=\"Series Sample\" \/><\/p>\n<pre class=\"post-pre\"><code>d = {'Matches played' : pd.Series([400, 300, 200], index=['Sachin', 'Kohli', 'Raina']),\r\n'Position' : pd.Series([1, 2, 3, 4], index=['Sachin', 'Kohli', 'Raina', 'Dravid'])}\r\ndf = pd.DataFrame(d)\r\nprint(df)\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/98-0.png\" alt=\"Df Dictseries\" \/><\/p>\n<hr \/>\n<h3>\u5217\u9009\u62e9\u3001\u6dfb\u52a0\u3001\u5220\u9664\u53ef\u4ee5\u4eceDataFrame\u4e2d\u9009\u62e9\u7279\u5b9a\u7684\u5217\u3002\u4f8b\u5982\uff0c\u8981\u4ec5\u663e\u793a\u7b2c\u4e00\u5217\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u4e0a\u8ff0\u4ee3\u7801\u6539\u5199\u4e3a\uff1a<\/p>\n<pre class=\"post-pre\"><code>d = {'Matches played' : pd.Series([400, 300, 200], index=['Sachin', 'Kohli', 'Raina']),\r\n 'Position' : pd.Series([1, 2, 3, 4], index=['Sachin', 'Kohli', 'Raina', 'Dravid'])}\r\ndf = pd.DataFrame(d)\r\nprint(df['Matches played'])\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/103-0.png\" alt=\"Col Selection\" \/><\/p>\n<pre class=\"post-pre\"><code>d = {'\u6bd4\u8d5b\u573a\u6b21' : pd.Series([400, 300, 200], index=['Sachin', 'Kohli', 'Raina']),\r\n '\u4f4d\u7f6e' : pd.Series([1, 2, 3, 4], index=['Sachin', 'Kohli', 'Raina', 'Dravid'])}\r\ndf = pd.DataFrame(d)\r\ndf['\u5f97\u5206\u7387']=pd.Series([80, 70, 60, 50], index=['Sachin', 'Kohli', 'Raina', 'Dravid'])\r\nprint(df)\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/105-0.png\" alt=\"\u5217\u6dfb\u52a0\" \/><\/div>\n<pre class=\"post-pre\"><code>del df['\u6bd4\u8d5b\u573a\u6b21']\r\n<\/code><\/pre>\n<p>\u6216\u8005<\/p>\n<pre class=\"post-pre\"><code>df.pop('\u6bd4\u8d5b\u573a\u6b21')\r\n<\/code><\/pre>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/109-0.png\" alt=\"\u5220\u9664\u5217\" \/><\/div>\n<hr \/>\n<h2>\u7ed3\u8bba<\/h2>\n<p>\u5728\u672c\u6559\u7a0b\u4e2d\uff0c\u6211\u4eec\u5bf9Python\u7684Pandas\u5e93\u8fdb\u884c\u4e86\u7b80\u8981\u4ecb\u7ecd\u3002\u6211\u4eec\u901a\u8fc7\u5b9e\u9645\u793a\u4f8b\uff0c\u5c55\u793a\u4e86Pandas\u5e93\u5728\u6570\u636e\u79d1\u5b66\u9886\u57df\u4e2d\u7684\u5f3a\u5927\u529f\u80fd\u3002\u6211\u4eec\u8fd8\u4ecb\u7ecd\u4e86Python\u5e93\u4e2d\u7684\u4e0d\u540c\u6570\u636e\u7ed3\u6784\u3002\u53c2\u8003\u8d44\u6599\uff1aPandas\u5b98\u65b9\u7f51\u7ad9\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Python\u4e2d\u7684Pandas\u6a21\u5757 Pandas is an open source library in Py [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[273,32,567,391,307],"class_list":["post-872","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-pandas","tag-python","tag-567","tag-391","tag-307"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python Pandas\u5b8c\u6574\u6559\u7a0b\uff1a\u4ece\u5165\u95e8\u5230\u7cbe\u901a\u7684\u6570\u636e\u5206\u6790\u5b9e\u6218\u6307\u5357 - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" content=\"\u672cPython Pandas\u5b8c\u6574\u6559\u7a0b\u6db5\u76d6\u6570\u636e\u5bfc\u5165\u3001\u6e05\u6d17\u3001\u5206\u6790\u548c\u53ef\u89c6\u5316\u7b49\u6838\u5fc3\u6280\u80fd\uff0c\u901a\u8fc7\u5b9e\u6218\u6848\u4f8b\u52a9\u60a8\u5feb\u901f\u638c\u63e1Pandas\u6a21\u5757\u3002\u9002\u5408\u521d\u5b66\u8005\u548c\u6570\u636e\u5206\u6790\u4eba\u5458\uff0c\u63d0\u4f9b\u8be6\u7ec6\u7684\u4ee3\u7801\u793a\u4f8b\u548c\u64cd\u4f5c\u6307\u5357\uff0c\u52a9\u60a8\u63d0\u5347\u6570\u636e\u5904\u7406\u6548\u7387\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/zh\/blog\/python-pandas-\u6a21\u5757\u6559\u7a0b\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python Pandas\u5b8c\u6574\u6559\u7a0b\uff1a\u4ece\u5165\u95e8\u5230\u7cbe\u901a\u7684\u6570\u636e\u5206\u6790\u5b9e\u6218\u6307\u5357\" \/>\n<meta property=\"og:description\" content=\"\u672cPython Pandas\u5b8c\u6574\u6559\u7a0b\u6db5\u76d6\u6570\u636e\u5bfc\u5165\u3001\u6e05\u6d17\u3001\u5206\u6790\u548c\u53ef\u89c6\u5316\u7b49\u6838\u5fc3\u6280\u80fd\uff0c\u901a\u8fc7\u5b9e\u6218\u6848\u4f8b\u52a9\u60a8\u5feb\u901f\u638c\u63e1Pandas\u6a21\u5757\u3002\u9002\u5408\u521d\u5b66\u8005\u548c\u6570\u636e\u5206\u6790\u4eba\u5458\uff0c\u63d0\u4f9b\u8be6\u7ec6\u7684\u4ee3\u7801\u793a\u4f8b\u548c\u64cd\u4f5c\u6307\u5357\uff0c\u52a9\u60a8\u63d0\u5347\u6570\u636e\u5904\u7406\u6548\u7387\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/python-pandas-\u6a21\u5757\u6559\u7a0b\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - Silicon Cloud\" \/>\n<meta property=\"article:published_time\" content=\"2024-01-31T03:48:29+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-08-03T06:19:54+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/65648830a4b2f92e6c731c1a\/8-0.png\" \/>\n<meta name=\"author\" content=\"\u79d1, \u9896\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u79d1, \u9896\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/python-pandas-%e6%a8%a1%e5%9d%97%e6%95%99%e7%a8%8b\/\",\"url\":\"https:\/\/www.silicloud.com\/zh\/blog\/python-pandas-%e6%a8%a1%e5%9d%97%e6%95%99%e7%a8%8b\/\",\"name\":\"Python Pandas\u5b8c\u6574\u6559\u7a0b\uff1a\u4ece\u5165\u95e8\u5230\u7cbe\u901a\u7684\u6570\u636e\u5206\u6790\u5b9e\u6218\u6307\u5357 - Blog - Silicon Cloud\",\"isPartOf\":{\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/#website\"},\"datePublished\":\"2024-01-31T03:48:29+00:00\",\"dateModified\":\"2025-08-03T06:19:54+00:00\",\"author\":{\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/#\/schema\/person\/8ca01ba7f7362ad4edb7da206a12f29e\"},\"description\":\"\u672cPython Pandas\u5b8c\u6574\u6559\u7a0b\u6db5\u76d6\u6570\u636e\u5bfc\u5165\u3001\u6e05\u6d17\u3001\u5206\u6790\u548c\u53ef\u89c6\u5316\u7b49\u6838\u5fc3\u6280\u80fd\uff0c\u901a\u8fc7\u5b9e\u6218\u6848\u4f8b\u52a9\u60a8\u5feb\u901f\u638c\u63e1Pandas\u6a21\u5757\u3002\u9002\u5408\u521d\u5b66\u8005\u548c\u6570\u636e\u5206\u6790\u4eba\u5458\uff0c\u63d0\u4f9b\u8be6\u7ec6\u7684\u4ee3\u7801\u793a\u4f8b\u548c\u64cd\u4f5c\u6307\u5357\uff0c\u52a9\u60a8\u63d0\u5347\u6570\u636e\u5904\u7406\u6548\u7387\u3002\",\"breadcrumb\":{\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/python-pandas-%e6%a8%a1%e5%9d%97%e6%95%99%e7%a8%8b\/#breadcrumb\"},\"inLanguage\":\"zh-Hans\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.silicloud.com\/zh\/blog\/python-pandas-%e6%a8%a1%e5%9d%97%e6%95%99%e7%a8%8b\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/python-pandas-%e6%a8%a1%e5%9d%97%e6%95%99%e7%a8%8b\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u9996\u9875\",\"item\":\"https:\/\/www.silicloud.com\/zh\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Python 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