drop all nan 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: dropping nan in pandas dataframe
df.dropna(subset=['name', 'born'])
Example 3: 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 4: delete nans in df python
df[~np.isnan(df)]