Pandas Replace Nan Code Example

Snippet 1
  data["Gender"].fillna("No Gender", inplace = True)  
Snippet 2
  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 
Snippet 3
  df.replace(np.nan,0)
 
Snippet 4
  pandas.DataFrame.fillna(0) 
Snippet 5
  df.fillna(0) 
Snippet 6
  df['product']=df['product'].fillna(0)
df['context']=df['context'].fillna(0)
df 

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