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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