how to handle nan values in pandas code example

Example 1: count nan pandas

#Python, pandas
#Count missing values for each column of the dataframe df

df.isnull().sum()

Example 2: how to fill missing values dataframe with mean

sub2['income'].fillna((sub2['income'].mean()), inplace=True)

Example 3: find nan values in a column pandas

df.isnull().values.any()

Example 4: find nan value in dataframe python

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

Example 5: find nan values in a column pandas

df['your column name'].isnull().values.any()

Example 6: pandas nan values in column

df['your column name'].isnull()