pandas how to drop nan rows code example
Example 1: drop if nan in column pandas
df = df[df['EPS'].notna()]
Example 2: how to filter out all NaN values in pandas df
#return a subset of the dataframe where the column name value != NaN
df.loc[df['column name'].isnull() == False]
Example 3: remove rows or columns with NaN value
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')
Example 4: drop na pandas
>>> df.dropna(subset=['name', 'born'])
name toy born
1 Batman Batmobile 1940-04-25