Python 熊猫。所有帽子都破了吗？

我找到了熊猫的功能，但看起来好像所有的帽子都不显示

import pandas as pd
df = pd.read_json('{"Technology Group":{"0":"Cloud","1":"Cloud","2":"Cloud","3":"Collaboration","4":"Collaboration","5":"Collaboration","6":"Collaboration","7":"Collaboration","8":"Collaboration","9":"Core", "10": "Software"},"Technology":{"0":"AMP","1":"EWS","2":"Webex","3":"Telepresence","4":"Call Manager","5":"Contact Center","6":"MS Voice","7":"Apps","8":"PRIME  ","9":"Wirelees", "10": "Prime Infrastructure"}}')

+------------------+----------------------+
| Technology Group | Technology           |
+------------------+----------------------+
| Cloud            | AMP                  |
+------------------+----------------------+
| Cloud            | EWS                  |
+------------------+----------------------+
| Cloud            | Webex                |
+------------------+----------------------+
| Collaboration    | Telepresence         |
+------------------+----------------------+
| Collaboration    | Call Manager         |
+------------------+----------------------+
| Collaboration    | Contact Center       |
+------------------+----------------------+
| Collaboration    | MS Voice             |
+------------------+----------------------+
| Collaboration    | Apps                 |
+------------------+----------------------+
| Collaboration    | PRIME                |
+------------------+----------------------+
| Core             | Wirelees             |
+------------------+----------------------+
| Software         | Prime Infrastructure |
+------------------+----------------------+

tech_input2 = ['AMP', 'Call Manager', 'PRIME']
df = df[df['Technology'].isin(tech_input2)]

它将显示下表：

+------------------+--------------+
| Technology Group | Technology   |
+------------------+--------------+
| Cloud            | AMP          |
+------------------+--------------+
| Collaboration    | Call Manager |
+------------------+--------------+

。。。而不是：

+------------------+--------------+
| Technology Group | Technology   |
+------------------+--------------+
| Cloud            | AMP          |
+------------------+--------------+
| Collaboration    | Call Manager |
+------------------+--------------+
| Collaboration    | PRIME        |
+------------------+--------------+

---

这是虫子吗？还是我做错了什么？从技术上讲，它不是表中原始最后一行的副本，但不确定如何破译它。它的行为似乎更像…

这可能是由于空格造成的。基于参数（指定要删除的字符集的字符串）从左侧和右侧删除字符

---

PRIME

字符串中有空格

isin

正在查找精确匹配，但找不到。请尝试df['Technology']=df['Technology'].str.strip（），然后运行代码again@user3483203-有两个不同的基本项。“卓越”和“卓越基础设施”@Vaishali，修复了它！：-O您是否能够创建一个答案，以便我为您标记它？从技术上讲，这只是一个重复，加上您有一个工作代码。也许你可以删除这个问题是的，你是对的@瓦伊沙利能够提供相同的解决方案，但你击败了他们，让他们发布回复而不是评论。非常感谢。

import pandas as pd
df = pd.read_json('{"Technology Group": {"0":"Cloud","1":"Cloud", 
"2":"Cloud","3":"Collaboration", "4":"Collaboration" ,":"Collaboration", 
"6":"Collaboration", "7":"Collaboration","8":"Collaboration","9":"Core", 
"10": "Software"},"Technology":{"0":"AMP","1":"EWS","2":"Webex","3":"Telepresence",
"4":"Call Manager","5":"Contact Center","6":"MS Voice","7":"Apps","8":"PRIME  
","9":"Wirelees", "10": "Prime Infrastructure"}}')

df['Technology'] = df['Technology'].str.strip()
tech_input2 = ['AMP', 'Call Manager', 'PRIME']
df = df[df['Technology'].isin(tech_input2)]