{"id":3661,"date":"2022-03-18T11:52:52","date_gmt":"2022-03-18T03:52:52","guid":{"rendered":"https:\/\/egonlin.com\/?p=3661"},"modified":"2022-03-18T11:52:52","modified_gmt":"2022-03-18T03:52:52","slug":"%e7%ac%ac%e4%ba%8c%e8%8a%82%ef%bc%9apandas%e7%bb%83%e4%b9%a0","status":"publish","type":"post","link":"https:\/\/egonlin.com\/?p=3661","title":{"rendered":"\u7b2c\u4e8c\u8282\uff1aPandas\u7ec3\u4e60"},"content":{"rendered":"<h2>\u5206\u67901880\u52302017\u5e74\u51fa\u751f\u7684\u7f8e\u56fd\u5a74\u513f\u59d3\u540d<\/h2>\n<hr \/>\n<ul>\n<li>\u83b7\u53d6\u6570\u636e<\/li>\n<li>\u6570\u636e\u89c4\u6574<\/li>\n<li>\u5206\u6790\u6570\u636e<\/li>\n<\/ul>\n<h3>1\u3001\u83b7\u53d6\u6570\u636e<\/h3>\n<pre><code class=\"language-python\">\u94fe\u63a5\uff1ahttps:\/\/pan.baidu.com\/s\/1wIyRZfgR7EjQ_KFP5-cnaA \n\u63d0\u53d6\u7801\uff1ag0zy <\/code><\/pre>\n<h3>2\u3001\u6570\u636e\u89c4\u6574<\/h3>\n<p>\u56e0\u4e3a\u83b7\u53d6\u5230\u7684\u6570\u636e\u662f\u6839\u636e\u51fa\u751f\u5e74\u4efd\u5206\u4e3a\u4e86\u591a\u4e2a\u6587\u4ef6\uff0c\u5176\u4e2d\u6587\u4ef6\u5185\u90e8\u7684\u6570\u636e\u4e5f\u662f\u7b80\u5355\u7684\u901a\u8fc7\u9017\u53f7\u5206\u9694\u800c\u6210\u7684\uff0c\u6240\u4ee5\u9700\u8981\u89c4\u6574\u4e00\u4e0b\uff1a<\/p>\n<pre><code class=\"language-python\">years = range(1880,2018)\npieces = []\ncolumns = [&#039;name&#039;,&#039;sex&#039;,&#039;births&#039;]  # \u5b57\u6bb5\u53c2\u6570\nfor year in years:\n    path = &quot;D:\\\\data\\\\names\\\\yob%s.txt&quot;%year  # \u52a0\u5165\u81ea\u5df1\u76f8\u5e94\u7684\u6587\u4ef6\u8def\u5f84\n    frame = pd.read_csv(path,names=columns)\n    frame[&#039;year&#039;] = year  # \u6dfb\u52a0\u51fa\u751f\u5e74\u4efd\u5217\n    pieces.append(frame)  \n\nnames = pd.concat(pieces,\uff0cignore_index=True)  # \u5408\u5e76\u6570\u636e\u96c6\uff0cignore_index=True\u5220\u9664\u539f\u7d22\u5f15\uff0c\u751f\u6210\u65b0\u7d22\u5f15<\/code><\/pre>\n<p>\u901a\u8fc7\u4ee5\u4e0a\u64cd\u4f5c\u5c31\u53ef\u4ee5\u5c06\u6240\u6709\u7684\u6570\u636e\u6587\u4ef6\u5408\u5e76\u4e3a\u4e00\u4e2a\u6570\u636e\u96c6\uff0c\u63a5\u4e0b\u6765\u5c31\u53ef\u4ee5\u8fdb\u884c\u5177\u4f53\u7684\u6570\u636e\u5206\u6790<\/p>\n<h3>3\u3001\u5206\u6790\u6570\u636e<\/h3>\n<p>\u6709\u4e86\u4ee5\u4e0a\u6570\u636e\u96c6\u5c31\u53ef\u4ee5\u5229\u7528\u4ed6\u4eec\u5b8c\u6210\u5f88\u591a\u5de5\u4f5c\uff0c\u4f8b\u5982\uff1a<\/p>\n<pre><code class=\"language-python\">1\u3001\u4ee5\u6027\u522b\u548c\u51fa\u751f\u5e74\u4efd\u5206\u6790\u603b\u51fa\u751f\u6570\n2\u3001\u5206\u6790\u547d\u540d\u8d8b\u52bf\n3\u3001\u5206\u6790\u540d\u5b57\u4e2d\u6700\u540e\u4e00\u4e2a\u5b57\u6bcd\u7684\u53d8\u5316\u8d8b\u52bf<\/code><\/pre>\n<p>\u63a5\u4e0b\u6765\u5c31\u4e3b\u8981\u4ee5\u4ee5\u4e0a\u51e0\u79cd\u65b9\u5f0f\u8fdb\u884c\u5206\u6790\uff0c\u6709\u5176\u4ed6\u65b9\u6848\u4e5f\u53ef\u4ee5\u81ea\u5df1\u6dfb\u52a0<\/p>\n<blockquote>\n<h4>3.1\u3001\u4ee5\u6027\u522b\u548c\u51fa\u751f\u5e74\u4efd\u5206\u6790\u603b\u51fa\u751f\u6570<\/h4>\n<\/blockquote>\n<p>\u9996\u5148\uff0c\u901a\u8fc7groupby\u6216pivot_table\u5728year\u548csex\u4e0a\u5bf9\u5176\u8fdb\u884c\u805a\u5408:<\/p>\n<pre><code class=\"language-python\">total_births = names.pivot_table(&#039;births&#039;,index=&#039;year&#039;,columns=&#039;sex&#039;,aggfunc=sum)\ntotal_births.tail()  # \u5c55\u793a\u6700\u540e\u51e0\u5217\u6570\u636e\n\u8fd0\u884c\u7ed3\u679c\uff1a\nsex     F       M\nyear        \n2013    1750321 1886989\n2014    1781072 1915239\n2015    1778883 1909804\n2016    1763916 1889052\n2017    1711811 1834490<\/code><\/pre>\n<p>\u73b0\u5728\u5c31\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0a\u5f97\u5230\u7684total_births\u5c06\u5386\u5e74\u51fa\u751f\u5b69\u5b50\u603b\u6570\u8d70\u52bf\u56fe\u7ed8\u5236\u51fa\u6765<\/p>\n<pre><code class=\"language-python\"># \u8865\u5145\uff08\u4fee\u6539\u8d70\u52bf\u56fe\u6807\u9898\u4e3a\u4e2d\u6587\uff09\uff1a\nimport matplotlib as mpl\nmpl.rcParams[&#039;font.sans-serif&#039;]=[&#039;SimHei&#039;] #\u6307\u5b9a\u9ed8\u8ba4\u5b57\u4f53 SimHei\u4e3a\u9ed1\u4f53\nmpl.rcParams[&#039;axes.unicode_minus&#039;]=False #\u7528\u6765\u6b63\u5e38\u663e\u793a\u8d1f\u53f7\n-----------------------------------------------\ntotal_births.plot(title=&#039;\u4ee5\u6027\u522b\u548c\u51fa\u751f\u5e74\u4efd\u5206\u7ec4\u7684\u51fa\u751f\u603b\u6570&#039;)<\/code><\/pre>\n<p><div class='fancybox-wrapper lazyload-container-unload' data-fancybox='post-images' href='https:\/\/egonlin.com\/wp-content\/uploads\/2022\/03\/\u9879\u76ee1.png'><img class=\"lazyload lazyload-style-2\" src=\"data:image\/svg+xml;base64,PCEtLUFyZ29uTG9hZGluZy0tPgo8c3ZnIHdpZHRoPSIxIiBoZWlnaHQ9IjEiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyIgc3Ryb2tlPSIjZmZmZmZmMDAiPjxnPjwvZz4KPC9zdmc+\"  data-original=\"https:\/\/egonlin.com\/wp-content\/uploads\/2022\/03\/\u9879\u76ee1.png\" src=\"data:image\/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAANSURBVBhXYzh8+PB\/AAffA0nNPuCLAAAAAElFTkSuQmCC\" alt=\"\" \/><\/div><\/p>\n<blockquote>\n<h4>3.2\u3001\u5206\u6790\u547d\u540d\u8d8b\u52bf<\/h4>\n<\/blockquote>\n<p>\u4ee5\u4e0a\u6570\u636e\u603b\u91cf\u76f8\u5bf9\u6765\u8bf4\u8fd8\u662f\u6bd4\u8f83\u5927\u7684\uff0c\u6240\u4ee5\u63a5\u4e0b\u6765\u53ef\u4ee5\u901a\u8fc7\u4e00\u7cfb\u5217\u64cd\u4f5c\u53ea\u53d6\u6bcf\u5e74\u53d6\u540d\u9891\u7387\u524d1000\u7684\u6570\u636e\u8fdb\u884c\u5206\u6790\u3002<\/p>\n<pre><code class=\"language-python\"># \u63d2\u5165\u4e00\u4e2aprop\u5217\uff0c\u7528\u4e8e\u5b58\u653e\u6307\u5b9a\u540d\u5b57\u7684\u5a74\u513f\u6570\u76f8\u5bf9\u4e8e\u603b\u51fa\u751f\u6570\u7684\u6bd4\u4f8b\u3002\u5148\u6309year\u548csex\u5206\u7ec4\uff0c\u7136\u540e\u518d\u5c06\u65b0\u5217\u52a0\u5230\u5404\u4e2a\u5206\u7ec4\u4e0a\uff1a\n\ndef add_prop(group):\n    group[&#039;prop&#039;] = group.births \/ group.births.sum()\n    return group\nnames = names.groupby([&#039;year&#039;,&#039;sex&#039;).apply(add_prop)\n-----------------------------------------------\n\u8fd0\u884c\u7ed3\u679c\uff1a\n    name    sex births  year    prop\n0   Mary    F   7065    1880    0.077643\n1   Anna    F   2604    1880    0.028618\n2   Emma    F   2003    1880    0.022013\n3   Elizabeth   F   1939    1880    0.021309\n4   Minnie  F   1746    1880    0.019188\n... ... ... ... ... ...\n1924660 Zykai   M   5   2017    0.000003\n1924661 Zykeem  M   5   2017    0.000003\n1924662 Zylin   M   5   2017    0.000003\n1924663 Zylis   M   5   2017    0.000003\n1924664 Zyrie   M   5   2017    0.000003<\/code><\/pre>\n<p>\u63a5\u4e0b\u6765\uff0c\u5c31\u4ee5\u4e0a\u6570\u636e\u505a\u4e00\u4e2a\u7b80\u5355\u7684\u5c0f\u68c0\u67e5\uff0c\u9a8c\u8bc1\u6240\u6709\u5206\u7ec4\u7684prop\u76841<\/p>\n<pre><code class=\"language-python\">names.groupby([&#039;year&#039;,&#039;sex&#039;]).prop.sum()  # \u9a8c\u8bc1\u6240\u6709\u5206\u7ec4\u7684\u603b\u548c\u662f\u5426\u4e3a1\n\u8fd0\u884c\u7ed3\u679c\uff1a\nyear  sex\n1880  F      1.0\n      M      1.0\n1881  F      1.0\n      M      1.0\n1882  F      1.0\n            ... \n\n2015  M      1.0\n2016  F      1.0\n      M      1.0\n2017  F      1.0\n      M      1.0\nName: prop, Length: 276, dtype: float64<\/code><\/pre>\n<p>\u7136\u540e\u5c31\u53ef\u4ee5\u53d6\u51fa\u4e00\u4e2a\u4ee5\u4e0a\u6570\u636e\u7684\u5b50\u96c6\uff0c\u6bcf\u5bf9sex\/year\u7ec4\u5408\u7684\u524d1000\u4e2a\u540d\u5b57\u3002<\/p>\n<pre><code class=\"language-python\">def get_top_1000(group):\n    return group.sort_values(by=&#039;births&#039;,ascending=False)[:1000]\ngrouped = names.groupby([&#039;year&#039;,&#039;sex&#039;])\ntop_1000 = grouped.apply(get_top_1000)\ntop_1000.reset_index(inplace=True,drop=True)<\/code><\/pre>\n<p>\u63a5\u4e0b\u6765\u5206\u6790\u7684\u6570\u636e\u96c6\u76f8\u5bf9\u6765\u8bf4\u5c31\u6bd4\u8f83\u5c0f\u4e86\u3002<\/p>\n<pre><code class=\"language-python\"># \u5c06\u8981\u5206\u6790\u7684\u6570\u636e\u5206\u4e3a\u7537\u5973\u4e24\u4e2a\u90e8\u5206\n\nboys = top_1000[top_1000.sex == &#039;M&#039;]\n\ngirls = top_1000[top_1000.sex == &#039;F&#039;]<\/code><\/pre>\n<p>\u521b\u5efa\u4e00\u4e2a\u900f\u89c6\u8868\uff0c\u4ee5\u5e74\u4efd\u4e3a\u7d22\u5f15\uff0c\u540d\u5b57\u4e3a\u805a\u5408\u5217<\/p>\n<pre><code class=\"language-python\">total_births = top_1000.pivot_table(&#039;births&#039;,index=&#039;year&#039;,columns=&#039;name&#039;,aggfunc=sum)<\/code><\/pre>\n<p>\u7136\u540e\u5c31\u53ef\u4ee5\u4ee5\u51e0\u4e2a\u5e38\u7528\u540d\u5b57\u7ed8\u5236\u66f2\u7ebf\u56fe\uff1a<\/p>\n<pre><code class=\"language-python\">subset = total_births[[&#039;John&#039;,&#039;Harry&#039;,&#039;Mary&#039;,&#039;Marilyn&#039;]]\nsubset.plot(subplots=True,title=&#039;\u547d\u540d\u8d8b\u52bf&#039;)<\/code><\/pre>\n<p><div class='fancybox-wrapper lazyload-container-unload' data-fancybox='post-images' href='https:\/\/egonlin.com\/wp-content\/uploads\/2022\/03\/\u9879\u76ee2.png'><img class=\"lazyload lazyload-style-2\" src=\"data:image\/svg+xml;base64,PCEtLUFyZ29uTG9hZGluZy0tPgo8c3ZnIHdpZHRoPSIxIiBoZWlnaHQ9IjEiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyIgc3Ryb2tlPSIjZmZmZmZmMDAiPjxnPjwvZz4KPC9zdmc+\"  data-original=\"https:\/\/egonlin.com\/wp-content\/uploads\/2022\/03\/\u9879\u76ee2.png\" src=\"data:image\/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAANSURBVBhXYzh8+PB\/AAffA0nNPuCLAAAAAElFTkSuQmCC\" alt=\"\" \/><\/div><\/p>\n<p>\u6839\u636e\u4ee5\u4e0a\u6570\u636e\u53ef\u4ee5\u53d1\u73b0\u7f8e\u56fd\u5bb6\u957f\u5bf9\u4e8e\u7ed9\u5b69\u5b50\u8d77\u8fd9\u4e9b\u5e38\u89c1\u540d\u5b57\u7684\u8d8b\u52bf\u3002<\/p>\n<blockquote>\n<h4>3.3\u3001\u5206\u6790\u540d\u5b57\u4e2d\u6700\u540e\u4e00\u4e2a\u5b57\u6bcd\u7684\u53d8\u5316\u8d8b\u52bf<\/h4>\n<\/blockquote>\n<pre><code class=\"language-python\"># \u4ece\u540d\u79f0\u4e2d\u53d6\u51fa\u6700\u540e\u4e00\u4e2a\u5b57\u6bcd\nget_last_letter  = lambda x:x[-1]\nlast_letters = names.name.map(get_last_letter)  # \u53d6\u51fa\u6bcf\u4e2a\u540d\u5b57\u6700\u540e\u4e00\u4e2a\u5b57\u6bcd\nlast_letters.name = &#039;last_letter&#039;  # \u5b9a\u4e49\u65b0\u5217\u7684\u540d\u5b57\ntable = names.pivot_table(&#039;births&#039;,index=last_letters,columns=[&#039;sex&#039;,&#039;year&#039;],aggfunc=sum)\n----------------------------------------------\n# \u53d6\u51fa\u6bcf\u969445\u5e74\u7684\u6570\u636e\nsubtable = table.reindex(columns=[1880,1925,1970\uff0c2015],level=&#039;year&#039;)  # \u53ea\u53d6\u90e8\u5206\u6570\u636e\u67e5\u770b\u9488\u5bf9\u6027\u6570\u636e\nsubtable.head()  # \u67e5\u770b\u524d\u51e0\u884c\n\u8fd0\u884c\u7ed3\u679c\uff1a\nsex     F                       M\nyear    1910    1960    2010    1910    1960    2010\nlast_letter                     \n    a   108397.0    691250.0    676646.0    977.0   5212.0  28859.0\n    b   NaN 694.0   455.0   411.0   3914.0  39264.0\n    c   5.0 49.0    955.0   482.0   15460.0 23341.0\n    d   6751.0  3730.0  2640.0  22113.0 262136.0    44817.0\n    e   133600.0    435043.0    316665.0    28665.0 178785.0    130228.0\n----------------------------------------------\nletter_prop = subtable \/ subtable.sum()  # \u5404\u6027\u522b\u5404\u672b\u4f4d\u5b57\u6bcd\u5360\u603b\u51fa\u751f\u4eba\u6570\u7684\u6bd4\u4f8b\nletter_prop\n\u8fd0\u884c\u7ed3\u679c\uff1a\nsex     F                       M\nyear    1910    1960    2010    1910    1960    2010\nlast_letter                     \n    a   0.273383    0.341861    0.381261    0.005031    0.002444    0.015063\n    b   NaN 0.000343    0.000256    0.002116    0.001836    0.020493\n    c   0.000013    0.000024    0.000538    0.002482    0.007250    0.012183\n    d   0.017026    0.001845    0.001488    0.113860    0.122932    0.023392\n    e   0.336947    0.215153    0.178427    0.147596    0.083844    0.067971\n    ... ... ... ... ... ... ...\n    v   NaN 0.000060    0.000117    0.000113    0.000036    0.001449\n    w   0.000020    0.000031    0.001189    0.006323    0.007709    0.016176\n    x   0.000015    0.000037    0.000729    0.003965    0.001851    0.008597\n    y   0.110975    0.152552    0.116769    0.077343    0.160976    0.058182\n    z   0.002436    0.000658    0.000700    0.000170    0.000184    0.001825\n----------------------------------------------\nfig,axes = plt.subplots(2,1,figsize=(15,10))  # \u751f\u6210\u4e24\u4e2a\u5b50\u56fe\uff0c\u5206\u522b\u7ed8\u5236\u7537\u5973\u751f\u8d8b\u52bf\nletter_prop[&#039;M&#039;].plot(kind=&#039;bar&#039;,rot=0,ax=axes[0],title=&#039;Male&#039;)\nletter_prop[&#039;F&#039;].plot(kind=&#039;bar&#039;,rot=0,ax=axes[1],title=&#039;Female&#039;)<\/code><\/pre>\n<p><div class='fancybox-wrapper lazyload-container-unload' data-fancybox='post-images' href='https:\/\/egonlin.com\/wp-content\/uploads\/2022\/03\/\u9879\u76ee.png'><img class=\"lazyload lazyload-style-2\" src=\"data:image\/svg+xml;base64,PCEtLUFyZ29uTG9hZGluZy0tPgo8c3ZnIHdpZHRoPSIxIiBoZWlnaHQ9IjEiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyIgc3Ryb2tlPSIjZmZmZmZmMDAiPjxnPjwvZz4KPC9zdmc+\"  data-original=\"https:\/\/egonlin.com\/wp-content\/uploads\/2022\/03\/\u9879\u76ee.png\" src=\"data:image\/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAANSURBVBhXYzh8+PB\/AAffA0nNPuCLAAAAAElFTkSuQmCC\" alt=\"\" \/><\/div><\/p>\n<p>\u63a5\u4e0b\u6765\u5c31\u53ef\u4ee5\u4ee5\u51fa\u73b0\u51e0\u7387\u6700\u9ad8\u7684\u4e09\u4e2a\u5b57\u6bcd\u5bf9\u7537\u751f\u8fdb\u884c\u5206\u6790\uff1a<\/p>\n<pre><code class=\"language-python\">letter_prop_sum = table \/ table.sum()  # \u4ee5\u4e4b\u524d\u521b\u5efa\u7684\u5b8c\u6574\u8868\u8ba1\u7b97\ndny_ts = letter_prop_sum.loc[[&#039;d&#039;,&#039;n&#039;,&#039;y&#039;],&#039;M&#039;].T  # \u4ee5\u6807\u7b7e\u7d22\u5f15\u53d6\u51fa\u7684d,n,y\u5b57\u6bcd\u7684\u6570\u636e\uff0c\u6700\u540e\u8fdb\u884c\u8f6c\u7f6e\ndny_ts.plot(title=&#039;\u5404\u5e74\u540d\u5b57\u4e2d\u4ee5d\/n\/y\u7ed3\u5c3e\u7684\u7537\u5b69\u4eba\u6570\u6bd4\u4f8b&#039;)<\/code><\/pre>\n<p><div class='fancybox-wrapper lazyload-container-unload' data-fancybox='post-images' href='https:\/\/egonlin.com\/wp-content\/uploads\/2022\/03\/\u9879\u76ee4.png'><img class=\"lazyload lazyload-style-2\" src=\"data:image\/svg+xml;base64,PCEtLUFyZ29uTG9hZGluZy0tPgo8c3ZnIHdpZHRoPSIxIiBoZWlnaHQ9IjEiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyIgc3Ryb2tlPSIjZmZmZmZmMDAiPjxnPjwvZz4KPC9zdmc+\"  data-original=\"https:\/\/egonlin.com\/wp-content\/uploads\/2022\/03\/\u9879\u76ee4.png\" src=\"data:image\/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAANSURBVBhXYzh8+PB\/AAffA0nNPuCLAAAAAElFTkSuQmCC\" alt=\"\" \/><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5206\u67901880\u52302017\u5e74\u51fa\u751f\u7684\u7f8e\u56fd\u5a74\u513f\u59d3\u540d \u83b7\u53d6\u6570\u636e \u6570\u636e\u89c4\u6574 \u5206\u6790\u6570\u636e 1\u3001\u83b7\u53d6\u6570\u636e \u94fe\u63a5\uff1ahttps:\/\/ [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[313,310],"tags":[],"_links":{"self":[{"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/posts\/3661"}],"collection":[{"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3661"}],"version-history":[{"count":0,"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/posts\/3661\/revisions"}],"wp:attachment":[{"href":"https:\/\/egonlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3661"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3661"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3661"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}