In [7]: df Out[7]: 0 1 0 NaN NaN 1 -0.494375 0.570994 2 NaN NaN 3 1.876360 -0.229738 4 NaN NaN In [8]: df.fillna(0) Out[8]: 0 1 0 0.000000 0.000000 1 -0.494375 0.570994 2 0.000000 0.000000 3 1.876360 -0.229738 4 0.000000 0.000000
df['product']=df['product'].fillna(0) df['context']=df['context'].fillna(0) df
df['DataFrame Column'] = df['DataFrame Column'].fillna(0)
df.fillna(0)
df.replace(np.nan,0)
mylist = [0 if x != x else x for x in mylist]