Python

df[df.isnull().any(axis=1)]

#return a subset of the dataframe where the column name value == NaN 
df.loc[df['column name'].isnull() == True]

df.isnull().sum().sum()
5

> df.isnull().any().any()
True

# to mark NaN column as True
df['your column name'].isnull()

for i, row in df.iterrows():
value = row["Name"]
if pd.isnull(value):
    dosomething()

df.fillna(method='ffill')

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