pandas drop all nan in a column code example

Example 1: dropping nan in pandas dataframe

df.dropna(subset=['name', 'born'])

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))

Example 3: drop na pandas

>>> df.dropna(subset=['name', 'born'])
       name        toy       born
1    Batman  Batmobile 1940-04-25