Answers for "how to drop pandas rows and columns containing missing values"

pandas remove row if missing value in column

# remove all rows without a value in the 'name' column
df = df[df['name'].notna()]

pandas drop missing values for any column

# Drop rows which contain any NaN value in the selected columns
mod_df = df.dropna( how='any',
                    subset=['Name', 'Age'])