如何使用python处理数据集？

我有一个输入数据集名称data.csv 内容是

id ,   name
1  ,  Jone/Elvis/Tom
2  ,  Elvis/Tonny

名称列使用斜杠作为分隔符 我需要处理data.csv，我的预期输出是

id, Jone, Elvis, Tom, Toony
1,   1  ,  1   ,  1 ,  0
2,   0  ,  1   ,  0 ,  1

1表示名称中已存在列名，0表示不存在。 如何使用python和pandas来传输输入

import pandas as pd

data = pd.read_csv("./data.csv")
data["name"]= data["name"].str.split("/")

jone = [0, 0]
elvis = [0, 0]
tom = [0, 0]
tonny = [0, 0]

for i in data.index:
    if any("Jone" in s for s in data.name[i]):
        jone[i] = 1
    else:
        jone[i] = 0

for i in data.index:
    if any("Elvis" in s for s in data.name[i]):
        elvis[i] = 1
    else:
        elvis[i] = 0

for i in data.index:
    if any("Tom" in s for s in data.name[i]):
        tom[i] = 1
    else:
        tom[i] = 0

for i in data.index:
    if any("Tonny" in s for s in data.name[i]):
        tonny[i] = 1
    else:
        tonny[i] = 0

data['Jone'] = jone
data['Elvis'] = elvis
data['Tom'] = tom
data['Tonny'] = tonny

---

让我们使用熊猫和

.str.get\u假人

和

sep

参数：

从剪贴板读入数据帧

df = pd.read_clipboard(sep='\s+\,\s+')
df

输入数据帧：

   id            name
0   1  Jone/Elvis/Tom
1   2     Elvis/Tonny

设置索引并使用字符串访问器与

get\u dummies

：

df1 = df.set_index('id')    
df1['name'].str.get_dummies(sep='/').reset_index()

输出：

   id  Elvis  Jone  Tom  Tonny
0   1      1     1    1      0
1   2      1     0    0      1

   id  Elvis  Jone  Tom  Tonny
0   1      1     1    1      0
1   2      1     0    0      1