Question

我想为python熊猫中的每个循环添加一个新值

        PRODUCT  PRICE
0    ABC       5000
1    ABB       2500
2    ABE       1800
3    DCB       7200

如果df1如上，

for i in df1['PRICE']:
    if i>3000:
        PURCHASE = True
    else:
        PURCHESE = False

循环后，我想像下面这样制作df1

        PRODUCT  PRICE  PURCHSE
0    ABC       5000       True
1    ABB       2500       False
2    ABE       1800       False
3    DCB       7200       True

我该怎么做？

Answer 1

Pandas的语言与您在普通对话中使用的语言有些相似：购买是指PRICE> 3000。

df1['PURCHASE'] = df1['PRICE'] > 3000

Answer 2

能否请您在此处使用<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script> <!DOCTYPE html> <html> <body> <div id="listProducts" class="listagem borda-alpha "> <ul data-produtos-linha="3"> <li class="listagem-linha "> <ul class=""> <li class="span4"> <div class="listagem-item"> <a href="https://test.com/2-test" class="produto-sobrepor" title="TEST 2">2TH ELEMENT</a> <div class="another 1">1. another div 1</div> <div class="another 2">1. another div 2</div> </div> </li> <li class="span4"> <div class="listagem-item"> <a href="https://test.com/3-test" class="produto-sobrepor" title="TEST 3">3RD ELEMENT</a> <div class="another 1">2. another div 1</div> <div class="another 2">2. another div 2</div> </div> </li> <li class="span4"> <div class="listagem-item"> <a href="https://test.com/1-test" class="produto-sobrepor" title="TEST 1">1st ELEMENT</a> <div class="another 1">3. another div 1</div> <div class="another 2">3. another div 2</div> </div> </li> </ul> </li> </ul> </div> </body> </html>进行尝试。

np.where

当我们使用名为import pandas as pd import numpy as np df['PURCHASE']=np.where(df2.PRICE>3000,'TRUE','FALSE')的新列打印新df的值时，其值如下。

PURCHASE

循环的python熊猫将值添加到新列

2 个答案: