PYTHON

how to replace nan with 0 in pandas

df['product']=df['product'].fillna(0)
df['context']=df['context'].fillna(0)
df

python pandas convert nan to 0

pandas.DataFrame.fillna(0)

how to replace nan values with 0 in pandas

df.fillna(0)

python zeros to nan

a[a==0] = np.nan

pandas nan to None

df = df.astype("object").where(pd.notnull(df), None)

python 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  0.000000

replace nan with 0 pandas

DataFrame.fillna()

numpy set nan to 0

numpy.nan_to_num(x, copy=True, nan=0.0, posinf=None, neginf=None)

turn False to nan pandas

In [1]: df = DataFrame([[True, True, False],[False, False, True]]).T

In [2]: df
Out[2]:
       0      1
0   True  False
1   True  False
2  False   True

In [3]: df.applymap(lambda x: 1 if x else np.nan)
Out[3]:
    0   1
0   1 NaN
1   1 NaN
2 NaN   1

pandas nan to none

df1 = df.where(pd.notnull(df), None)

turn 0 into nan python

>>> a = np.arange(3.0)
>>> a
array([ 0.,  1.,  2.])
>>> a[a==0]
array([ 0.])
>>> a[a==0] = np.nan
>>> a
array([ nan,   1.,   2.])

Convert nan into None in df

df. replace(np. nan,'',regex=True)