How will you identify and deal with missing values in a dataframe?
How will you identify and deal with missing values in a dataframe?
题目类型: 技术面试题
这是一道技术面试题,常见于澳洲IT公司面试中。
难度: medium
标签: interviewbit, python, topic-specific
参考答案摘要
We can identify if a dataframe has missing values by using the isnull() and isna() methods. missing_data_count=df.isnull().sum() We can handle missing values by either replacing the values in the colu...
本题提供 STAR 原则详细解答和技术解析,登录匠人学院学习中心即可查看完整答案。