drop all rows with nan columns pandas code example
Example 1: remove rows or columns with NaN value
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')
Example 2: python remove nan rows
df = df[df['my_var'].notna()]
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')
df = df[df['my_var'].notna()]