pandas remove row if missing value in column

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Debora
03 Mar 2020
1# remove all rows without a value in the 'name' column
2df = df[df['name'].notna()]
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Veronica
29 Sep 2019
1df.dropna()     #drop all rows that have any NaN values
2df.dropna(how='all')
Lilie
10 Jan 2019
1# Drop rows which contain any NaN value in the selected columns
2mod_df = df.dropna( how='any',
3                    subset=['Name', 'Age'])
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