圓形轉換爲熊貓字符串

Question

我在四捨五入方面存在問題，這似乎很常見，但我無法通過Google搜索找到答案，所以我決定在這裏問一下。

這裏是我的數據

 day   reg  log ad  trans paid 
1111 20171005 172  65 39.0 14.0 3.0 
1112 20171006 211  90 46.0 17.0 4.0 
1113 20171007 155  70 50.0 17.0 1.0 
1114 20171008 174  71 42.0 18.0 0.0 
1115 20171009 209  63 43.0 21.0 2.0 

下面是我做什麼，我還是想%數量

table['% log'] = (table.log/table.reg * 100).astype(str) + '%' 
table['% ad'] = (table.ad/table.reg * 100).astype(str) + '%' 
table['% trans'] = (table.trans/table.reg* 100).astype(str) + '%' 
table['% paid'] = (table.paid/table.reg * 100).astype(str) + '%' 

這是我得到的，需要一個最終的觸摸圍捕

 day   reg  log ad  trans paid % log   % ad  % trans  % paid 
1111 20171005 172  65 39.0 14.0 3.0  37.7906976744% 22.6744186047% 8.13953488372% 1.74418604651% 
1112 20171006 211  90 46.0 17.0 4.0  42.654028436% 21.8009478673% 8.05687203791% 1.89573459716% 
1113 20171007 155  70 50.0 17.0 1.0  45.1612903226% 32.2580645161% 10.9677419355% 0.645161290323% 
1114 20171008 174  71 42.0 18.0 0.0  40.8045977011% 24.1379310345% 10.3448275862% 0.0% 
1115 20171009 209  63 43.0 21.0 2.0  30.1435406699% 20.5741626794% 10.04784689% 0.956937799043% 

我想要的是百分比不是太長，只是兩位數字。

Answer 1

您需要round：

table['% log'] = (table.log/table.reg * 100).round(2).astype(str) + '%' 

更好的辦法是選擇由子集和輸出join所有列原始df：

cols = ['log','ad','trans','paid'] 
table =(table.join(table[cols].div(table.reg, 0) 
           .mul(100) 
           .round(2) 
           .astype(str) 
           .add('%') 
           .add_prefix('%% '))) 
print (table) 
      day reg log ad trans paid % log % ad % trans % paid 
1111 20171005 172 65 39.0 14.0 3.0 37.79% 22.67% 8.14% 1.74% 
1112 20171006 211 90 46.0 17.0 4.0 42.65% 21.8% 8.06% 1.9% 
1113 20171007 155 70 50.0 17.0 1.0 45.16% 32.26% 10.97% 0.65% 
1114 20171008 174 71 42.0 18.0 0.0 40.8% 24.14% 10.34% 0.0% 
1115 20171009 209 63 43.0 21.0 2.0 30.14% 20.57% 10.05% 0.96% 

此外，如果需要更好的輸出 - 2位小數添加0：

table =(table.join(table[cols].div(table.reg, 0) 
           .mul(100) 
           .applymap("{0:.2f}".format) 
           .add('%') 
           .add_prefix('%% '))) 
print (table) 
      day reg log ad trans paid % log % ad % trans % paid 
1111 20171005 172 65 39.0 14.0 3.0 37.79% 22.67% 8.14% 1.74% 
1112 20171006 211 90 46.0 17.0 4.0 42.65% 21.80% 8.06% 1.90% 
1113 20171007 155 70 50.0 17.0 1.0 45.16% 32.26% 10.97% 0.65% 
1114 20171008 174 71 42.0 18.0 0.0 40.80% 24.14% 10.34% 0.00% 
1115 20171009 209 63 43.0 21.0 2.0 30.14% 20.57% 10.05% 0.96%