If we want to drop a row in which any column has a missing value we can do this:
df.dropna(axis = 0, how = \'any\', inplace = True)
How do
since you know, how to dropnan, you can replace it to NaN
dropnan
replace
df=df.replace('Yourvalue',np.nan).dropna(axis = 0, how = 'any')