我正在尝试为分类变量创建虚拟变量。但是，当我创建它们时，我收到“ValueError:列重叠但未指定后缀”。这是代码:
dummy2 = pd.get_dummies(data['Teaching'], prefix='Teach')
dummy2.head ()
dummy2.columns = ['Small/Rural','Teaching']
data = data.join(dummy2)
##################
dummy3 = pd.get_dummies(data['Gender'], prefix='Gender_')
dummy3.head()
dummy3.columns = ['Male','Female']
data = data.join(dummy3)
#####################
dummy4 = pd.get_dummies(data['PositionTitle'], prefix='pos_')
dummy4.head()
dummy4.columns = ['Acting Director','RegioReresentative']
data = data.join(dummy4)
#####################
dummy5 = pd.get_dummies(data['Compensation'], prefix='COMP')
dummy5.head()
dummy5.columns = ['23987','46978','89473','248904']
data = data.join(dummy5)
#################3
dummy6 = pd.get_dummies(data['TypeControl'], prefix='Type')
dummy6.head()
dummy6.columns = ['City/country','District','Investor','Non Profit']
data = data.join(dummy6)
最佳答案
关于如何使用 pd.concat 执行此操作有一个很好的解释，位于 https://towardsdatascience.com/the-dummys-guide-to-creating-dummy-variables-f21faddb1d40 。对此示例进行修改将如下所示:
dummy2 = pd.get_dummies(data['Teaching'], prefix='Teach')
data = pd.concat([data, dummy2], axis = 1)
关于python - 如何将虚拟列连接到主表？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/40208088/