如何使用python获取丢失的记录行号和列名？

Question

使用python和pandas，我想实现下面的输出。只要文件中存在Null 或Nan 值，则需要打印行号和列名。

import pandas as pd

# List of Tuples
employees = [('Stuti', 'Null', 'Varanasi', 20000),
        ('Saumya', 'NAN', 'NAN', 35000),
        ('Saumya', 32, 'Delhi', 30000),
        ('Aaditya', 40, 'Dehradun', 24000),
        ('NAN', 45, 'Delhi', 70000)
        ]

# Create a DataFrame object from list
df = pd.DataFrame(employees,
            columns =['Name', 'Age',
            'City', 'Salary'])
print(df)

预期输出：

Row 0: column Age missing
Row 1: Column Age, column City missing
Row 4: Column Name missing

Answer 1

尝试isin 屏蔽缺失值，然后矩阵乘以@ 与列以连接它们：

s = df.isin(['Null','NAN'])

missing = s.loc[s.any(1)] @ ('column ' + df.columns + ', ')
for r, val in missing.str[:-2].items():
    print(f'Row {r}: {val} is missing')

输出：

Row 0: column Age is missing
Row 1: column Age, column City is missing
Row 4: column Name is missing