remove rows having all NA in R dataframe code example

Example 1: remove all rows where one ccolumns egale to nan

#remove in dataframe but no in the file
df = df[df['column'].notna()]

#remove in dataframe and in the file
df.dropna(subset=['EPS'], how='all', inplace=True)

Example 2: remove all rows without a value pandas

# Keeps only rows without a missing value
df = df[df['name'].notna()]