pandas replace null with 0
df.column.fillna(0,inplace=True)
how to replace nan with 0 in pandas
df['product']=df['product'].fillna(0)
df['context']=df['context'].fillna(0)
df
replace "-" for nan in dataframe
df.replace(np.nan,0)
pandas replace nan
data["Gender"].fillna("No Gender", inplace = True)
Fill missing values with 0
In [12]: df[1].fillna(0, inplace=True)
Out[12]:
0 0.000000
1 0.570994
2 0.000000
3 -0.229738
4 0.000000
Name: 1
In [13]: df
Out[13]:
0 1
0 NaN 0.000000
1 -0.494375 0.570994
2 NaN 0.000000
3 1.876360 -0.229738
4 NaN 0.000000
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