get all columns with nan values code example

Example 1: show all rows with nan for a column value pandas

df[df['col'].isnull()]

Example 2: find all nan columns pandas

nan_cols = [i for i in df.columns if df[i].isnull().any()]
print("No. of columns containing null values")
print(len(df.columns[df.isna().any()]))

print("No. of columns not containing null values")
print(len(df.columns[df.notna().all()]))

print("Total no. of columns in the dataframe")
print(len(df.columns))