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How will you identify and deal with missing values in a dataframe?

We can identify if a dataframe has missing values by using the isnull() and isna() methods.
 
missing_data_count=df.isnull().sum()
We can handle missing values by either replacing the values in the column with 0 as follows:
 
df[‘column_name’].fillna(0)
Or by replacing it with the mean value of the column
 
df[‘column_name’] = df[‘column_name’].fillna((df[‘column_name’].mean()))