numpy fill na with 0
import numpy as np
A[np.isnan(A)] = 0numpy fill na with 0
import numpy as np
A[np.isnan(A)] = 0how to replace nan with 0 in pandas
df['product']=df['product'].fillna(0)
df['context']=df['context'].fillna(0)
dfpython dataframe replace nan with 0
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 0.000000python numpy array replace nan with string
import numpy as np
l=['foo', 'bar', 'baz', np.nan]
l_new=['missing' if x is np.nan else x for x in l]
print l_new
# Result:
# ['foo', 'bar', 'baz', 'missing']python list replace nan with 0
mylist = [0 if x != x else x for x in mylist]Copyright © 2021 Codeinu
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