Python 如何使用函数在数据帧中传递特征

我创建了一个有助于绘图的函数，但使用传递的功能/列时遇到问题

def default_distribution_plot(feature):
    # Find the years on network for those subscribers that have defaulted and not defaulted
    default_no = df[df['overdue']==0].feature
    default_yes = df[df['overdue']==1].feature

    # add comma seperator
    fig, ax = plt.subplots()
    ax.get_yaxis().set_major_formatter(plt.FuncFormatter(lambda x, loc: "{:,}".format(int(x))))
    ax.get_xaxis().set_major_formatter(plt.FuncFormatter(lambda x, loc: "{:,}".format(int(x))))

    plt.xlabel('Years on net')
    plt.ylabel('Number of subscribers')
    plt.title('Subscribers default visualization')

    # Distribution
    plt.hist([default_yes, default_no], color=['red', 'green'], label=['Default=Yes', 'Default=No'])
    plt.legend()
    
    return plt.show()

# Calling the function
feature = years_on_net # 'years_on_net ' represent one of the columns
default_distribution_plot(feature)

错误

AttributeError:“DataFrame”对象没有属性“feature”

---

尝试更改代码中的以下行：

default_no = df[df['overdue']==0].feature
default_yes = df[df['overdue']==1].feature

致：

并将功能作为字符串传递：

default_distribution_plot('years_on_net')

或

default_distribution_plot('years_on_net')

feature = 'years_on_net ' #represent one of the columns
default_distribution_plot(feature)