{"result":[{"race_desc":"\u4e2d\u534e\u6c11\u65cf","race_en":"chinese_nation","race_probality":"0.868728","area":[{"block":"chinese_nation","race_desc":"\u5317\u65b9\u6c49\u65cf","race_en":"han_northern","race_probality":"0.481249"},{"block":"chinese_nation","race_desc":"\u8499\u53e4\u8bed\u65cf\u7fa4","race_en":"mongolian","race_probality":"0.261693"},{"block":"chinese_nation","race_desc":"\u5357\u65b9\u6c49\u65cf","race_en":"han_southern","race_probality":"0.120531"},{"block":"chinese_nation","race_desc":"\u7572\u65cf","race_en":"she","race_probality":"0.005175"},{"block":"chinese_nation","race_desc":"\u5176\u4ed6","race_en":"other","race_probality":"0.0003"}]},{"race_desc":"\u4e1c\u5317\u4e9a","race_en":"ne_asian","race_probality":"0.131002","area":[{"block":"ne_asian","race_desc":"\u65e5\u672c","race_en":"japanese","race_probality":"0.117829"},{"block":"ne_asian","race_desc":"\u97e9\u56fd","race_en":"korean","race_probality":"0.013163"},{"block":"ne_asian","race_desc":"\u5176\u4ed6","race_en":"other","race_probality":"0.0001"}]},{"race_desc":"\u5176\u4ed6","race_en":"other","race_probality":"0.0003","area":[]}],"case_id":"ANCESTRY","prefix":null,"description":"\u7956\u6e90\u5206\u6790","color":null,"detail_url":"\/report2\/ancestry\/"} 方法一：
編程語言：python3.8
模塊：matplotlib（當然如果要是通過讀取csv或excel表格的話肯定還少不了pandas）
可選：jupyter notebook
整體思路：祖源成分數(shù)據(jù)的可視化
優(yōu)勢：在數(shù)據(jù)量較大的時候較方法二速度快
代碼如下圖所示：


?
說明：
1. pie函數(shù)是這個腳本的最重要的部分，其中參數(shù)values可以是個數(shù)的數(shù)據(jù)，當然直接輸入百分比......問題也不大，labels是標簽，在這里也就是各種祖源成分名稱了。這倆參數(shù)都支持numpy和pandas直接輸入（注意pandas的不可以是數(shù)據(jù)幀哈）
2. title函數(shù)是用來設置標題的，這個沒啥好說的
3. 一定要記得前面那個設置中文的語句！！！否則文字部分會是亂碼（用Windows和Mac的小盆友的設置方法有差異！當時我弄這個弄了倆小時......）
4. 記得最后要寫show函數(shù)，不然咋弄都不顯示的233333
?
但這時候我們發(fā)現(xiàn)：因為有一些數(shù)據(jù)由于占比過小，導致一些成分名稱會聚集在一起而看不清成分名稱。
所以這個時候，我們的解決方案是：設立一個圖例
經(jīng)過對圖例的設定以及位置的調整，我們得到的餅圖是這樣的：


?
看起來舒服多了吧
?
說明：
1. legend函數(shù)是專門用來添加圖例的，其中的參數(shù)loc，bbox_to_anchor，labels的作用分別是粗略調整圖例位置，詳細調整圖例位置以及圖例的內容
?
方法二：
軟件：WPS
方法：直接在WPS里輸數(shù)據(jù)直接畫，這個不多說了
優(yōu)勢：數(shù)據(jù)較少的時候，比方法一速度快
展示：


?
大家一定要注意！！！要在不同情況下選擇合理的解決方案，可千萬別軸！！！